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Help me! I'm working on realism, I'm only 13 so its not that great but I want to learn. Any advice? I would love to learn more. It's ok to be harsh. :)
This rose is a rose is a rose. Very nicely done. Near the bottom of your drawing you have a deep shadow colour, I think you could have a little more of this dark shading in places. There are two large shaded areas in the middle of the rose - you could go deep closest to the centre and shade it out to the value you have now. That would bring out the centre more.. And perhaps to the back petal a little darker there and shade out to have the centre pop out a bit more and separate from the centre part. The shading under the rose/front could be quite dark and fade out. You could take your kneaded eraser and bring out the highlights a bit more in places. You put the shading in and you take some out, kind of a push and pull, more shading in and blending and erasing. You have a good eye, keep up the good work.
Thank you so much! I'll work on it.
nice drawing and good advice from valeriemalley. I would add to be careful with the black lines outlining everything. It helps to make the drawing look solid, but if you are going for realism the lines are not there in real life. Keep using shading to make on pedal stand out from the other. You should be looking at your subject matter (a real rose, or a photo) more than you look at your drawing. I would have been very happy to have done this drawing at 13.
Thank you for that helpful advice, This was just an experiment really. I will most likely redo this rose or a temp a different kind of flower using the advice I have been given. Thank you again!
Blue Eyes—
You're doing great. Just keep drawing and keep having fun at it.
I'll tell you the same thing that I tell every artist who is just starting, "You learn to draw by drawing." The reason I tell you and other young artists that is because it was told to me at your age—and I know it works. Drawing is the foundation of all the other visual arts. That's not my opinion. That is Michelangelo's opinion on how important drawing is for an artist.
One of the wonderful things about drawing is that much of it can be self taught. Like any true skill, it is an ability that is acquired through practice. I usually recommend that a beginning artist purchase a couple of books on how to draw and use the books as workbooks. Work with them lesson by lesson, day by day. Draw and sketch when ever you can. Then, a year from now, draw that same rose again and you will be amazed at the improvement.
What you are going to be learning is how to put your thoughts—your impressions—of the world around you on paper to share with others. Now—show the world just how good an artist you can be.
Best of luck.
Wow, thank you so much Paul! Really, I'm truly thankful. That is a wonderful idea! I really hope to be semi-good when I grow up. I practice drawing every day by watching videos or just by going outside and drawing a tree. I really like the idea of owning books though! do you have any you would suggest? And If so, were would I buy them?
You asked me to recommend a few books on how to draw. Here are a few good ones:
• "Pencil Drawing" by Gene Franks...$8.96• "The Art of Pencil Drawing" by Gene Franks....$14.46• "Drawing People: How to draw the clothed figure" by Barbara Bradley... $20.00• "Successful Drawing" by Andrew Loomis....$22.52• "Drawing Heads and Hands" by Andrew Loomis....$23.27
All of these are available at Amazon.com Take a look at them and see what you think. The third one, "Drawing people..." looks like a good one to learn sketching techniques. The author has an excellent style. The fourth and fifth ones on the list, "Successful Drawing" and "Drawing Heads and Hands", were originally published many years ago but they are wonderful books.
There is no one book that will give you all the instruction you need. Start with a couple and go from there. The trick is to stick with your program of self training. What you are doing in these next four years can possibly give you direction for a career and skills for a lifetime.
There is an additional book that is advanced but may be of interest to a young girl like yourself, "Figure: How to Draw the Figure with Impact" by Sharon Pinsker. This deals with high-style fashion drawing and the author is very good.
Best of luck,
Thank you so much for your help! I will certainly order some of these. I will continue to post some of my drawings when I feel I need help, Thank you so much Paul!
you have captured the rose very well, however the dark black of the outline detracts from the shadows and highlights. If you can soften the outline I would say you are well on your way to realism
Thank you! Will do :)
nice advice and critique from you and the others. I hope BLueEyes keeps drawing!
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The holiday season is upon us once more. It is a time of year for reflection, family, and deals on ereaders and tablets! If you find yourself in the market for one of these devices, it is important to understand how much personal information they gather, and how the device manufacturers use it.
On the library's Downloadables Support page, we have offered a link to an ereader privacy guide from the Electronic Frontier Foundation. So, I am pleased to announce that -- hot off the presses -- the Electronic Frontier Foundation has released a new ereader privacy chart. There is also a brief summary with a link to the guide that discusses the questions that the guide endeavors to answer.
I was pleased to see that unlike the earlier versions of the guide, this chart includes data on Overdrive -- our main ebook vendor -- and Adobe Content Server, the digital rights management technology used in the provision of ebooks.
The guide, while extensive, missed a couple of items with regards to Overdrive, as pointed out by Gary Price of InfoDOCKET:
- When Kindle owners check out ebooks from Overdrive, Amazon receives transaction information.
- Overdrive has added Google Analytics, but it is unclear what data it will be gathering. The company states that it does not share personally identifiable information, however.

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I miss you all!!!!
Samar is 15 months and we went off to the dr.
The concern for his milestones is gone but that boy still refuses to walk. I don't think he will ever walk. I think he plans to be carried until he is 30. We will have to get specially made strollers.
He's started to add to words though- finally- and he is pulling up on the couch- finally.
He has all 16 teeth. Yup. Since 13 months. He looks like a little baby shark.
He's the joy of my life. I battled through so much to have him, went through his acid reflux, his colic, his miserable winter.... and now at 15 months he's the first thing on my mind in the morning.
It's hard- working full time, taking care of him- but he's so much fun too. The temper tantrums have started- I call it "tantruming out" and Quwe says "Oh my God he's lost total control over his emotions".... ha ha ha.
I also have an 8 month old little nephew which is pretty great too and they are starting to love and befriend each other now. It's a fun thing to watch.
Soooooo how are all of you????
I am enjoying my summer vacation. I did get diagnosed with Menieres.... and am managing.... and rethinking not having a second kid... I want one but I am 36 now. Well I think I still have some time. It just means coming off the Valium when I have vertigo and htat will be hard.
I miss you all so much!


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text:
Fish pie with saffron mash
By Barney Desmazery
Cooking timePrep: 30 mins Cook: 1 hr, 15 mins
Skill levelModerately easy
ServingsServes 6
A great dinner party dish. This can be made ahead and frozen so there's always something ready to entertain guests
Nutrition and extra info
Additional info
- Freezable
Nutrition per serving
- kcalories
- 683
- protein
- 51g
- carbs
- 42g
- fat
- 35g
- saturates
- 15g
- fibre
- 6g
- sugar
- 7g
- salt
- 1.36g
- 3 shallots, finely chopped
- 3 tbsp white wine vinegar
- 150ml white wine
- 142ml pot double cream
- 900g fresh haddock fillets, skinned
- 200g bag raw, peeled prawns, preferably unfrozen
- 800g fresh spinach (about 2 bags)
- 200g crabmeat
For the topping
- 3 garlic cloves
- 1 red chilli, halved and deseeded
- 200ml full-fat milk
- pinch saffron strands
- 1¼kg potatoes, cut into large chunks
- 4 tbsp olive oil
- zest and juice 1 lemon
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Make ahead
The pie can be assembled the day before and kept in the fridge. If the prawns have not been frozen before, the pie can be frozen, uncooked, for up to a month. Defrost completely in the fridge before cooking.
- Tip the shallots and vinegar into a saucepan and place on the heat so the vinegar evaporates quickly. Splash in the white wine and reduce until practically dry. Add cream, bring to the boil, then simmer gently until reduced by two-thirds and very thick. Leave to cool. Cut the fish into bite-size chunks and set aside with the prawns.
- Tip spinach into a large colander and pour over boiling water from a kettle until all the spinach is wilted (you may need to do this more than once). Cool under the cold tap, then squeeze the spinach tightly to get rid of any excess liquid.
- To make the topping, mash the saffron, garlic and chilli together using a pestle and mortar. Tip into a saucepan with the milk, bring to the boil, then remove from the heat to infuse. Bring the potatoes to the boil and simmer for 15 mins until soft. Drain, then mash well with the infused milk, olive oil, lemon juice and zest.
- Heat oven to 200C/fan 180C/gas 6. To assemble the pie, mix the fish and prawns into the cold cream until completely coated. Tip the fish into the bottom of a large gratin dish and scatter over clumps of crabmeat. Unravel the spinach and lay it over the fish, then top with the mash. Cook the pie for about 30 mins until golden and starting to brown and bubble around the edges. Serve with green veg if you like.
Recipe from Good Food magazine, December 2007
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Comments, questions and tips
Lovely recipe and very easy. I used scallops rather than crab meat and a mix of smoked haddock and cod. I strained the milk before adding to the mash which meant the flavours weren't as pronounced and following comments on here only the juice of half a lemon which was plenty. Would definitely make again.
Delicious. Looked like a candidate for future dinner parties so cooked half quantity as a trial run. Improvised using stuff I had in fridge and freezer; namely jumbo prawns and scallops padded out with poached mushrooms and fresh asparagus. Laid fresh baby spinach leaves over the seafood without wilting and it worked fine. Found the prep a bit fiddly, but will definitely try the recipe as written with the fish and crabmeat. The appeal of this recipe for me is it can be prepared ahead so is stress free. I wasn't convinced the mash ingredients would work, but they really do. On a scale of 1 to 10 my husband gave it 12!!.
Great dinner party dish - serves six. The spicy mash makes it special, and tastes absolutely delicious. The recipe is a little time-consuming, but can all be prepared in advance.
I forgot to cook the spinach beforehand, so I just laid it on top of the fish (not 800gm, I used half this amount). I think this was a good thing, as there is not a lot of sauce in this recipe, so the liquid from the spinach added to the sauce at the bottom of the dish.
Leaving the fish in big chunks worked well - I didn't get crabmeat, but added a fillet of undyed smoked haddock instead.
Took a bit longer than the half hour prep time suggested (although most things do for me..) It was worth the effort though - the mash was lovely, the sauce was delicious and overall looked very impressive. I used a small onion instead of shallots and also added half a bulb of fennel chopped up finely which added a lovely flavour to it all. Would definitely make it again.
This was absolutely gorgeous even with a few amendments and ommissions. As I didn't have any cream I used a simple white sauce instead and also substituted the white wine for rose and the crab meat for more haddock (too lazy to wander down to the shops!!). All of that aside it was really really tasty and my wife will definately make sure I do this again :-)
Fish pie is not my most favourite main course, but thought I would have a go at this because it sounded a bit more interesting and couldn't think what to cook for a supper party.
I did use fresh spinach, but next time I will use frozen as it is less hassle and just cuts down on the time preperation.
I used all the lemon zest but only half the juice on the recommendation of other comments and it turned out fine. I piped the mash potato onto the top which made it look a little bit more special but to hardly any effort at all and added grated parmesan on the top. Everyone Loved it.


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Systems and techniques, including computer programs, for monitoring and controlling thermal recovery involve generating input parameters for use in real time monitoring and controlling of a thermal recovery operation for a reservoir. The input parameters to a thermal generator are generated using a reservoir simulator and an economic model, and the input parameters have a corresponding predicted output of the thermal recovery operation. Data indicative of actual output from the reservoir is received, and the reservoir simulator is automatically updated based on a comparison of the data indicative of the actual output with the predicted output.
1. A method for controlling thermal recovery, the method comprising:
generating, by a computer, input parameters for use in controlling a thermal recovery operation for a reservoir, the input parameters generated using a reservoir simulator and the input parameters having a corresponding predicted output of the thermal recovery operation;
continually receiving data indicative of actual output from the reservoir;
automatically comparing the received data indicative of actual output with the predicted output; and
automatically updating the reservoir simulator based on the comparison of the data indicative of the actual output with the predicted output.
2. The method of
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13. The method of
14. A system comprising:
a thermal generator;
a reservoir simulator operable to model thermal operations in a subsurface reservoir, the thermal operations performed using the thermal generator;
a data collection subsystem operable to collect data indicative of output levels predicted using the reservoir simulator, the predicted output levels corresponding to selected input parameters for the thermal generator, and data indicative of actual output levels, the data indicative of actual output levels continually collected, wherein the reservoir simulator is automatically tuned based on an automatic comparison between the collected data indicative of predicted output levels and the collected data indicative of actual output levels.
15. The system of
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24. An article comprising a computer-executable program tangibly embodied on a computer-readable storage medium, the program comprising instructions for causing data processing apparatus to perform operations comprising:
calculating a predicted output level for a thermal recovery operation in a reservoir using a set of reservoir modeling parameters;
identifying a set of input parameters corresponding to the predicted output level;
performing continual monitoring of a difference between an actual output level for the reservoir and the predicted output level; and
automatically updating the set of reservoir modeling parameters based on the monitored difference.
25. The article of
26. The article of
calculating an economic result associated with at least one set of input parameters; and
tuning the set of input parameters and the corresponding predicted output level based on the calculated economic result.
27. The article of
28. The article of
29. A system comprising:
means for generating input parameters for use in controlling a thermal recovery operation for a reservoir, the input parameters generated using a means for simulating the reservoir and the input parameters having a corresponding predicted output of the thermal recovery operation;
means for substantially continuously receiving data indicative of actual output from the reservoir;
means for automatically comparing the received data indicative of actual output from the reservoir and the predicted output; and
means for automatically updating the means for simulating the reservoir based on the comparison of the data indicative of the actual output with the predicted output.
30. The system of
31. The system of
32. The method of
performing a first thermal recovery operation;
determining that the comparison does not exceed a predetermined threshold difference; and
performing a second thermal recovery operation based on the reservoir simulator without updating the reservoir simulator based on the comparison of the data indicative of the actual output with the predicted output.
This description relates to recovery operations for subsurface geological formations, and more particularly to real time monitoring and control of thermal recovery operations for heavy oil reservoirs.
Fluids in hydrocarbon reservoirs may be accessed via wellbores that extend down into the ground toward the targeted reservoirs. In some cases, the hydrocarbon reservoirs may contain fluid with a lower viscosity such that crude oil flows relatively freely from the reservoir, through production tubing, and toward the production equipment at the ground surface. Some hydrocarbon reservoirs comprise fluids having a higher viscosity, which may not freely flow from the reservoir and through the production tubing. These high viscosity fluids in the hydrocarbon reservoirs are occasionally referred to as "heavy oil deposits." In the past, the high viscosity fluids in the hydrocarbon reservoirs remained untapped due to the inability and expense of recovering them. More recently, as the demand for crude oil has increased, commercial operations have expanded to the recovery of such heavy oil deposits.
In some circumstances, the application of heat (e.g., using steam) to the hydrocarbon reservoir may reduce the viscosity of the fluids in the reservoir so as to permit the extraction of crude oil and other liquids from the reservoir. This process is referred to as thermal recovery and can include continuous steam flooding, cyclic steam stimulation, and in-situ combustion. In steam flooding, steam is pumped into injection wells to heat up the reservoir and the heavy oil deposits contained in the reservoir. As a result, heavy oil and other liquids can be recovered through production wells.
Cyclic steam stimulation, or "huff'n puff", involves injecting steam into a well during an injection (or huff) phase that may last days or weeks followed by a soak phase during which the well is shut in for a period of days or weeks to allow the heat to dissipate and to reduce the viscosity of the heavy oil in the reservoir. Finally, during a production (or puff) phase heavy oil is pumped from the same well used for injecting steam.
In-situ combustion involves burning subsurface oil in a reservoir. High temperature air is injected into the reservoir to initiate burning of the subsurface oil, which, in turn, heats up the reservoir and the heavy oil deposits that it contains. Water can also be injected in addition to air. The burning oil heats the water to produce steam, further heating the reservoir, reducing the viscosity of the heavy oil deposits, and allowing heavy oil to be recovered through a production well.
The described systems and techniques include real-time or right-time monitoring and control of steam production rates and heat content for improved or optimal thermal recovery of heavy oil using feedback from a production well and/or a steam generator to update and tune a reservoir simulator and/or thermal control parameters. In addition, feedback from an economic model can also be used to tune the thermal control parameters to achieve increased or at least relatively optimized economic efficiency.
In one general aspect, input parameters for use in controlling a thermal recovery operation for a reservoir are generated. The input parameters are generated using a reservoir simulator, and the input parameters have a corresponding predicted output of the thermal recovery operation. Data indicative of actual output from the reservoir is received, and the reservoir simulator is manually or automatically updated based on a comparison of the data indicative of the actual output with the predicted output.
Implementations can include one or more of the following features. The reservoir simulator is manually or automatically updated in response to a detected change in the data indicative of the actual output, economic parameters, and/or reservoir conditions, and the change exceeds a corresponding predetermined threshold. The reservoir simulator includes a reservoir model defining multiple reservoir parameters. The thermal recovery operation uses a thermal generator operable to introduce steam into the reservoir. The input parameters define amounts of air, water, and/or fuel. The output of the thermal recovery operation is an amount of water, petroleum, and/or flue gas. The data indicative of actual output from the reservoir is received in real time. Generating input parameters involves performing an automated economic analysis involving the input parameters and the corresponding predicted output. The automated economic analysis involves tuning the input parameters to improve a predicted economic output. The thermal recovery operation involves using a downhole thermal generator. The reservoir simulator is manually or automatically updated by tuning the reservoir simulator based on historical input parameters, corresponding historical data indicative of actual output, and/or predicted output corresponding to the historical input parameters. The reservoir simulator is tuned by adjusting one or more reservoir parameters to improve matching between an actual output from the reservoir and a predicted output from the reservoir.
In another general aspect, a system includes a thermal generator, a reservoir simulator, and a data collection subsystem. The reservoir simulator models thermal operations in a subsurface reservoir. The thermal operations are performed using the thermal generator. The data collection subsystem collects data indicative of output levels predicted using the reservoir simulator and data indicative of actual output levels. The predicted output levels correspond to selected input parameters for the thermal generator. The data indicative of actual output levels is collected in real time. The reservoir simulator is tuned based on a comparison between the collected data indicative of predicted output levels and the collected data indicative of actual output levels.
Implementations can include one or more of the following features. The input parameters for the thermal generator are selected, at least in part, by the reservoir simulator. The reservoir simulator is tuned in response to a detected change in conditions and/or a detected difference between the predicted output levels and the actual output levels. The predicted output levels and the actual output levels define amounts of fluids recovered from the reservoir. The reservoir is a heavy oil reservoir. The thermal generator is a steam generator, and the selected input parameters are control parameters for the steam generator. The steam generator is a surface or a downhole steam generator. An economic model models economic results corresponding to one or more sets of input parameters, and the selected input parameters are determined, at least in part, using the economic model. Sensors detect input levels for the thermal generator, output levels from the thermal generator, and/or output levels from the reservoir.
In another general aspect, a predicted output level for a thermal recovery operation in a reservoir is calculated using a set of reservoir modeling parameters. A set of input parameters corresponding to the predicted output level are identified. Real-time monitoring of an actual output level for the reservoir is performed, and the set of reservoir modeling parameters is updated based on the real-time monitoring of actual output.
Implementations can include one or more of the following features. The set of reservoir modeling parameters are updated based on detected input levels for a surface or a downhole steam generator used in the thermal recovery operation. An economic result associated with one or more set of input parameters is calculated, and the set of input parameters and the corresponding predicted output level are tuned based on the calculated economic result. The set of reservoir modeling parameters are updated in response to identifying a difference in excess of a threshold level between the predicted output level and the actual output level. The predicted output level is a rate and/or a composition of fluids recovered from the reservoir.
The details of one or more implementations are set forth in the accompanying drawings and the description below. Other features will be apparent from the description and drawings, and from the claims.
Like reference symbols in the various drawings indicate like elements.
The reservoir simulator 110 is initialized with reservoir properties data, which can include geologic data and/or data from production and/or injection wells. The geologic data can include log data, core data from core samples, and spectral density log (SDL) data as well as seismic data. The log data, core data, and SDL data can be pre-processed using computer programs such as Petroworks available from Landmark Graphics, Prizm by Geographix, and DPP by Halliburton to obtain, for example, water and oil saturations, porosity, and clay content. The data can also be processed in stratigraphy programs such as Stratworks available from Landmark Graphics and may be further pre-processed to map the reservoir, such as by using a Z-Map program available from Landmark Graphics.
The geologic data can include conventional or real-time 4D seismic data (i.e., time lapsed seismic, in which incremental differences in seismic data are used to detect dynamic reservoir fluid movement). Seismic data may be collected conventionally by periodically placing an array of hydrophones and geophones at selected places in the reservoir or 4D seismic may be collected on a real-time basis using geophones placed in wells. The seismic data is processed and interpreted using programs, such as Seisworks and Earthcube available from Landmark Graphics to obtain hydrocarbon indicators, stratigraphy, and structure.
Output from pre-processing of the log data, core data, and SDL data and from processing of seismic data is further pre-processed to obtain geostatistics, such as by using Sigmaview available from Landmark Graphics. The geostatistics, the output from processing of seismic data, and mapping of the reservoir are input into Geocellular (Earthmode) programs and processed using, for example, the Stratamodel application available from Landmark Graphics. The output of the Geocellular programs is then upscaled using, for example, Geolink available from Landmark Graphics to obtain a reservoir simulation model, which is a static representation of the reservoir 105. The reservoir simulation model can include porosity, water saturation, oil saturation, gas saturation, viscosity, and permeability.
The production and/or injection data can include downhole production data, seabed production data (for subsea petroleum reservoirs), and surface production data (for land-based petroleum reservoirs). The production/injection data is pre-processed using pressure transient analysis in computer programs such as Saphir by Kappa Engineering or PTA by Geographix to output, for example, reservoir permeability, reservoir pressure, permeability-feet, and the distance to the reservoir boundaries.
Once the reservoir simulator 110 is initialized, it is used to forecast the amount, properties, rate, and composition of oil and other fluids and conditions produced and/or recovered from the reservoir 105 based on adjustable thermal control inputs. For example, the reservoir simulator 110 predicts the temperature and pressure levels, the resulting changes in viscosity of heavy oil, and the ultimate recovery of oil and other fluids that will result from introducing particular amounts of heat into the reservoir 105. Typically, the forecasts, as with the initialization data for the reservoir simulator 110, are specified by ranges because of difficulties in determining precise reservoir properties.
An economic model 115 is used iteratively with the reservoir simulator 110 to analyze profitability based on the cost of inputs and the value of the corresponding predicted recovery. Iterations of the reservoir simulator 110 and the economic model 115 produce a relatively optimized or efficient set of inputs, which can include the properties and rates of air, water, and fuel (e.g., methane or natural gas), for a steam generator 120. The inputs control valves that regulate the rates in which air, water, and fuel are supplied to the steam generator 120. In some implementations, the steam generator 120 can be located at the surface in which case steam is produced using steam boilers and conveyed down a wellbore to a targeted reservoir through a long tube, for example, wellbore casing or production tubing. In other implementations, the steam generator 120 can be a downhole catalyst-based combustor that is wireline-conveyed or a wellhead catalyst-based combustor in which steam is conveyed downhole using tubing. The steam generator 120 can be a combustor produced, for example, by Precision Combustion, Inc. In some implementations, other types of heated-fluid generators or thermal generators can also be used.
The levels of inputs to the steam generator 120 are provided to a data center 125, which stores the input data for correlating with detected conditions in the reservoir 105 and data regarding the resulting recovery from the reservoir 105. The data center 125 can also or alternatively use sensors 130 to detect the actual inputs to the steam generator 120 by, for example, measuring the flow rate of water, fuel, and air inputs. The inputs to the steam generator 120 control the amount (or rate) and properties (e.g., temperature, pressure, and heat content) of steam produced by the steam generator 120 and introduced into the reservoir 105. The amount and properties of the generated steam can have a range that can be determined based on the input parameters for air, fuel, and water. In addition, for downhole steam generators 120, the inputs to the steam generator 120 impact the amount of flue gas (e.g., carbon dioxide, carbon monoxide, and nitrogen) produced and introduced into the reservoir 105. In particular, the stoichiometry of the inputs to the steam generator 120 determine the amount of steam and flue gas as well as affecting the composition and flow rate of heavy oil in the reservoir 105.
The generated steam and any flue gas injected into or produced in the reservoir 105, in turn, facilitate the recovery of fluids from one or more production wells for the reservoir 105. For example, heat from the injected steam decreases the viscosity of heavy oil in the reservoir 105 to allow it to be recovered, along with water (e.g., injected steam that has condensed) and any flue gas from downhole steam generators 120. The rate, amount, composition, and/or properties of water, oil, and flue gas recovered through a production well 140, as well as temperature, pressure, and volume data (e.g., for flue gas, steam, water, etc. in the reservoir), is detected by sensors 135 at the surface or downhole in the production and/or injection wells. For example, the sensors 135 can take periodic samples to determine recovery rates and/or fluid properties and to detect conditions in the reservoir. In some cases, data from surface sensors 135 can be extrapolated to calculate estimated downhole or reservoir values. Data from the sensors 135 is provided to the data center 125 for use in performing analyses. Thus, the data center 125 stores or otherwise has access to data indicating the input parameters for the steam generator 120 and the corresponding output into or from the reservoir 105.
The data center 125 maintains data for one reservoir 105 or, if multiple reservoirs 105 are associated with the data center 125, data for each reservoir 105 is segmented within the data center 125 to enable separate analyses of each reservoir 105. Typically, each reservoir 105 includes multiple injection wells and multiple production wells (e.g., in a five-spot pattern). Input data for each injection well can be individually tracked in cases where different inputs are applied depending on the location of the injection well. Similarly, output data for each production well can also be individually tracked. Individualized input and output data, along with stored knowledge of the relative or absolute locations of the wells, allows inputs to be correlated with outputs on a region-specific or well-specific basis. For example, inputs to a particular injection well can have an effect on the recovery from multiple production wells depending on the distance between the injection well and each production well, the porosity and permeability of the reservoir, and the like.
The data center 125 preprocesses time-varying input and output data to put it in a proper format for use by the reservoir simulator 110, to filter out noise, obtain average amounts, and the like. The input and output data from the data center 125 can be used to compare the actual air, water, and fuel input with the corresponding water, oil, and flue gas that is produced or recovered. In addition, data from the data center 125 can be used to compare rates, compositions, temperatures, and pressures predicted or forecasted by the reservoir simulator 110 with actual rates, compositions, temperatures, and pressures measured using the downhole or surface sensors 135.
The input and output data are collected in real time using, for example, the sensors 130 and 135 and/or control signals for controlling inputs to the steam generator 120. Real time, in this context, can mean that the data is available to the data center 125 on demand or that the data is automatically provided to the data center 125 (e.g., using a communication network that includes a wireline connection to downhole sensors). For example, the data center 125 can be in periodic or continuous communication with the sensors 130 and 135 and can automatically request and/or receive sample readings from the sensors 130 and 135 at predetermined intervals or at intervals determined by the data center 125. The intervals (e.g., every three seconds or every one hour) can be established by the data center 125 or otherwise based on factors such as how quickly sample values change (currently or historically), how input controls have changed or are changing, or the type of parameter being measured. In some implementations, some control signals (e.g., for changing the inputs to the steam generator 120) can be a communication (e.g., voice, text message, or otherwise) to an operator. For example, a control signal can be a message to send an operator to a well to make an adjustment.
Typically, the effect of changes on the inputs can take days or weeks to produce a corresponding change in output. In some implementations, the data center 125 can monitor for changes in the output and correlate those changes with input conditions. In response to a change in excess of a predetermined threshold or at a predetermined or arbitrary time, the system 100 can selectively and automatically update modeling parameters and forecasts of the reservoir simulator 110, change input parameters for the steam generator 120, and/or record such changes and correlations for future analysis. In some implementations, updating of parameters and forecasts, changes in input parameters, and/or recording such changes and correlations can be performed manually. Modeling parameter updates and/or forecasts of the reservoir simulator 110 can also be performed in response to a detected change in the actual output, economic parameters, and/or reservoir conditions, in response to a difference between a predicted output level and an actual output level, or based on some other factor or factors.
In general, the system 100 uses the data stored in the data center 125 for tuning the reservoir simulator 110. In particular, the system 100 includes a feedback loop for evaluating and modifying performance of the reservoir simulator 110. For example, the system 100 compares the actual outputs (e.g., temperature, pressure, steam, flue gas, water, and oil) with the outputs predicted by the reservoir simulator 110 for a certain set of inputs (e.g., air, water, and fuel supplied to the steam generator 120). Based on this comparison, the reservoir simulator 110 can be tuned by adjusting the initial reservoir modeling parameters in an effort to match the reservoir simulator 110 more closely to the actual behavior and characteristics of the reservoir 105, as measured and/or interpolated from the data in the data center 125. In some cases, the system 100 can also compare the actual inputs (i.e., as measured by sensors 130) with the control inputs to tune the control system.
The reservoir modeling parameters can be determined using core samples, logs, information from production, injection, and/or test wells, seismic analyses, and the like. The reservoir modeling parameters can be defined as a range or distribution curve, which represents an uncertainty in the precise reservoir characteristics. For example, if a core sample suggests a thirty percent porosity for a particular reservoir, the modeling parameter for porosity might be a range from twenty-eight to thirty-two percent to account for sampling errors and/or for potential or statistically probable variations throughout the reservoir.
The reservoir modeling parameters are used to initialize a reservoir simulator (210). The reservoir modeling parameters enable the reservoir simulator to model the state of the reservoir, including any fluids contained in the reservoir, and predict how the reservoir will react responsive to changes of conditions in the reservoir. The reservoir simulator can include different modules that model different aspects of the reservoir (e.g., a black oil module for reservoirs that contain a relatively small amount of gas, a compositional module for reservoirs that contain more gas, and a thermal module for modeling the effects of introducing heat into the reservoir).
An initial set of input parameters are identified (215). The input parameters can be selected arbitrarily or based on some preliminary prediction, past experience, or empirical data relating to the level of inputs necessary to produce favorable results and/or output. The input parameters generally include rates, relative or absolute proportions, or other measures of inputs to a thermal process used to introduce heat into the reservoir. For example, the inputs can include relative amounts of water, fuel in the form of methane or natural gas, and air that are supplied to a steam generator that produces steam in a wellbore or for injection into the reservoir. In some cases, the input parameters can be defined as ranges or distributions to provide a starting point for subsequent economic analysis and/or to account for imprecise delivery or control systems, fluctuations in rates, efficiency variations in the thermal process, and the like.
The reservoir simulator predicts output levels corresponding to the current set of input parameters (220). The output levels can include outputs from a thermal generator (e.g., steam and flue gas), changes in reservoir conditions (e.g., temperature and pressure in the reservoir and composition and viscosity of fluids in the reservoir) resulting from the thermal generator output, and outputs (e.g., rates and compositions of fluids) that are recovered from the reservoir (e.g., through a production well). In general, the focus of reservoir simulation is to model changes in the fluids injected into or already in the reservoir (i.e., the dynamic characteristics) based on the inputs and the static characteristics (e.g., porosity, permeability, etc.). The predicted output levels can define a range or distribution corresponding to ranges or distributions of the input parameters.
By injecting steam or otherwise introducing thermal changes in the reservoir, the composition and/or thermal properties of the reservoir change. These changes are modeled by the reservoir simulator. Among other things, the reservoir simulator performs a pressure, volume, and temperature (PVT) analysis based on the reservoir modeling parameters and the input parameters. The results of the PVT analysis are used to model subsequent changes in the reservoir. Typically, the PVT analysis and other modeling is performed using a Monte Carlo simulation using the ranges or distributions of input parameters and reservoir modeling parameters to obtain a range or distribution of outputs.
An economic analysis is performed using the input parameters and the output levels from the reservoir simulator (225). For example, an economic analysis module is used to predict economic consequences of the set of input parameters. The economic analysis module can use economic modeling parameters (e.g., ranges or distributions of costs, market values, market variables, and the like) along with a software model for predicting total costs, revenues, return on investment, profits, or other economic indicators or benchmarks. In general, the results of the economic analysis relate to financial or intangible measures, while the output levels predicted by the reservoir simulator relate to physical amounts produced or by-products of production, in the reservoir and/or extracted from the reservoir. In an initial iteration of the process 200, the economic analysis can be used to select preferred (e.g., optimum or relatively optimum) values from the ranges or distributions of input parameters. In subsequent iterations of the process 200 (i.e., after obtaining some historical information regarding how well predicted outputs matched actual outputs), the economic analysis can be used to identify the predicted economic outcome of previously identified input parameters.
Based on the economic analysis, a determination is made as to whether the input parameters should be adjusted (230). In some implementations, it is unnecessary to adjust the input parameters in an initial iteration of the process 200. For subsequent iterations, however, it may be desirable to adjust the input parameters if the economic analysis determines that the predicted economic outcome of the previously identified input parameters is undesirable. For example, if the predicted costs exceed some predetermined threshold or if the predicted return on investment is below some predetermined threshold, it may be necessary or desirable to adjust the set of input parameters. The criteria for determining whether the input parameters should be adjusted can be selected based on the desired outcome. For example, maximizing revenue may lead to undesirably high costs and maximizing return on investment may lead to unacceptably low total profit. Accordingly, multiple economic parameters can be used to determine whether the input parameters should be adjusted.
If it is determined that the set of input parameters should be adjusted, the set of input parameters are changed (235). The set of input parameters can be adjusted in increments according to a predetermined pattern or can be intelligently adjusted based on prior iterations (e.g., increasing fuel input beyond a certain level increases costs at a rate that exceeds increases in revenue) or on information that can be deduced from the economic analysis (e.g., revenue is too low for the current set of inputs and reducing steam production cannot increase revenue). In some implementations, the input parameters can be adjusted such that the predicted economic result is acceptable, meets one or more requirements or preferences, or is relatively optimized (i.e., in that it is better than other possible options, although not necessarily the best possible result).
In some implementations, predicted output levels and predicted economic results are calculated for multiple possible sets of input parameters and input parameters that produce a relatively optimal set of results is selected. For example, a multi-dimensional matrix, with each dimension corresponding to different values for a particular input (e.g., fuel, water, or air), can be used to store the predicted results of different combinations of inputs. Thus, predicted outputs and economic results are calculated for ranges of input values, and a specific combination of inputs is selected that is predicted to result in an improved or relatively optimal set of outputs and/or economic results.
Once a set of input parameters is selected for actual use in the thermal recovery operations, the set of input parameters and the corresponding set of predicted outputs are stored (240), although in cases where the input changes and predicted outputs remain unchanged from previously stored values it is unnecessary to store the information again. The current set of input parameters are applied (245) to a thermal generation process (i.e., to control the amount of heat and other properties and substances introduced into the reservoir). For example, the set of input parameters are used to adjust valves that control the air, water, and fuel inputs for a downhole or surface steam generator. In some cases, the set of input parameters that are stored (at 240) can include quantities or rates measured by sensors (e.g., at or near the valves). The stored data (settings values and measured values) can be used to accurately track the inputs (and changes therein) to the thermal generation process in real time.
The outputs of the thermal generation process are measured (250). The outputs can include, for example, steam and flue gas injected into the reservoir and water, oil, and flue gas recovered by a production well. For example, flue gas is injected into (and therefore may be recovered from) the reservoir in the case of downhole steam generation. The outputs can be measured in real time using sensors in injection, production, and/or observation wells. The output measurements are then stored (255) for use in accurately tracking the outputs (and changes therein) in real time.
The actual outputs are compared with the predicted outputs to determine if they differ (260). Typically, the comparison is performed for a particular set of input parameters. However, the input parameters can change over time, and a change in input parameters applied at a particular time can take a period of time to result in a corresponding change in outputs. Moreover, the effect on the outputs can also have a time-varying component. As a simple example, an input at time t=0 results in a detectable change in output beginning at time t=1, increasing until time t=2, and disappearing at time t=3. Thus, the comparison can include a relatively complex analysis of actual and predicted outputs over a period of time.
In addition, the comparison of actual outputs to predicted outputs can include a range of error. In other words, the actual and predicted outputs may not be considered different unless they differ by more than some threshold amount. In some cases, the error range can be included in the predicted output itself if the reservoir simulator generates a range of predicted output values. In addition or as an alternative, an error interval (e.g., defined by an absolute variance or based on a percentage variance from one or more predicted values) can be defined around the predicted output values.
The comparison can be performed, for example, at regular intervals, based on some other predetermined schedule, at times selected by a user or a computer control system, and/or in response to a change in a detected input or output that exceeds some threshold rate or amount. In some implementations, the comparison can be performed in real time. Because of the delay between a change in input parameters and a corresponding change in outputs, however, real-time comparisons do not generally imply use of the real-time input data as it is collected. Instead, input parameters and the corresponding predicted outputs can be stored and used for comparisons at an appropriate time when actual outputs are detected.
In addition, quasi-real-time comparisons can be delayed from a real-time collection of output data. For example, as actual output data is collected, it can be averaged or filtered over a period of time. Similarly, the input parameters and the corresponding predicted outputs can be averaged or filtered over a corresponding period of time. The averaged or filtered, predicted and actual data can be compared at regular intervals, according to some other schedule, or in response to detected changes in conditions. Quasi-real-time comparisons, therefore, can rely upon a real-time collection of data in which collected data (averaged, filtered, or otherwise) is available on-demand for use in an automated comparison and tuning analysis.
If it is determined that there is not a difference between the actual and predicted outputs (at 260), the process 200 returns to applying the current input parameters (at 245), detecting and storing outputs (at 250 and 255), and performing comparisons of actual and predicted (at 260). In general, these aspects of the process 200 are performed continuously, relatively continuously, or periodically rather than merely an iterative process, which might be more applicable in a static process. Accordingly, multiple changes in the input parameters can be applied and stored, and/or output levels can be continuously monitored, between successive comparisons of actual and predicted outputs. Alternatively, individual processing steps can be performed in parallel on an ongoing basis.
If it is determined that there is a difference between the actual and predicted outputs (at 260), the reservoir simulator can be tuned (265) to improve the performance of the reservoir simulator. Tuning of the reservoir simulator can involve adjusting the reservoir modeling parameters and can be performed, for example, in real time, on a periodic basis, or upon detecting a change in conditions. The reservoir modeling parameters can be tuned by making adjustments so that predicted outputs match actual outputs for a given set of input parameters. In particular, the actual outputs corresponding to a particular set of input parameters (from 240, 250, and 255) can be used to perform a hindsight prediction of outputs using modeling parameters that are iteratively tuned until the reservoir simulator produces a prediction that matches the actual output. In some implementations, sets of actual and predicted outputs (i.e., varying outputs detected or predicted over a period of time) and corresponding sets of input parameters (i.e., that are also varying over a corresponding period of time) are used in a more complex tuning procedure.
Each reservoir modeling parameter can be tuned by shifting, narrowing, expanding, or otherwise modifying a range or distribution curve that represents the modeling parameter. Reservoir modeling parameters can also be separately tuned for different regions within the reservoir. For example, actual output data from two different wells can be used to tune local reservoir modeling parameters in different ways. Accordingly, the feedback provided by the process 200 can be used to obtain a more accurate and realistic model of a reservoir by detecting location-specific differences between actual and predicted outputs and performing location-specific parameter tuning.
In some cases, it is possible to perform some tuning of reservoir modeling parameters even if there is not a difference between the actual and predicted outputs (at 260). For example, if there is not a difference, the range or distribution curve for one or more of the modeling parameters may unnecessarily account for too much uncertainty in the reservoir characteristics. Accordingly, it may be possible to tune the reservoir simulator by narrowing a range or distribution curve for one or more of the modeling parameters.
Once the reservoir simulator is tuned, a new prediction of output levels corresponding to the current set of input parameters is calculated (220) and the process 200 continues. For example, the new prediction can result in changes in the predicted economic results, which causes a different set of input parameters to be selected. Changes in the set of input parameters can also occur other than in response to changes in the reservoir modeling parameters. For example, changes in economic parameters or goals can lead to an update in input parameters independent of any change in modeling parameters. Accordingly, the reservoir simulator can be tuned, and new input parameters and predicted outputs can be determined, continuously, in real time, or periodically. In addition, this tuning and determining of new input parameters and predicted outputs can be performed in parallel with other processes.
Additional closed-loop controls can be applied to tune the input levels to the steam generator 120. For example, the economic model 115 may determine that a valve should be set at a level that allows a five cubic feet per minute flow rate. The steam generator 120 can include additional sensors to measure the actual flow rate. These additional sensors can be used to determine if the actual flow rate matches the desired flow rate and to tune the valve accordingly (i.e., until it produces a five cubic meter per minute flow rate).
The reservoir simulator 110 and the economic model 115 can be used to predict outputs and economic results and interactions between the two on one or more different horizons. For example, the reservoir simulator 110 and/or the economic model can predict both short-term and long-term effects of input parameter changes and strategies on the reservoir, recovery, and economic impact. This capability allows the system 100 to avoid applying input parameters that might have a short-term benefit but that cause long-term profits or revenues to plummet. Among other things, flue gas can have an impact on the reservoir because it tends to change the composition of oil in the reservoir as the flue gas and oil mix. In some cases, flue gas can have a beneficial impact on the reservoir, while in other cases it can have a detrimental impact. Physical and economic models can take into account the impact of flue gas during the modeling process.
Modeling parameters can be adjusted, at each step or for the overall process 300, to improve matching for water first and then for oil, or vice versa. In addition, tuning can be performed using multiple sets of historical parameters. For example, over time, more data is collected regarding input parameters and corresponding outputs. In some implementations, the tuning process may attempt to adjust the model to obtain the best matching for all of the historical samples, for only the most recent n samples, or for some other subset of samples. The effect of certain historical data or on certain modeling parameters can be gradually or quickly reduced over time. For example, some modeling parameters may relate to properties that can change over time, such as relative composition, which can change as oil is extracted and water, in the form of steam, is injected. The effect of at least older historical data on tuning of such modeling parameters can be reduced or eliminated.
The described techniques can be used for both cyclic steam stimulation and continuous steam flooding thermal operations, although the type of thermal operation can affect the sampling frequency of input and/or output measurements, the frequency of updates to the input parameters, the modeling frequency, and the like. For example, in cyclic steam stimulation, modeling parameters are generally tuned periodically, following at least a portion of the production phase, although data can be collected in real time. In continuous steam flooding, modeling and modeling parameter updates can be performed periodically or relatively continuously.
The functional operations described in this specification can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structural means disclosed in this specification and structural equivalents thereof, or in combinations of them. The techniques can be implemented using one or more computer program products, i.e., one or more computer programs tangibly embodied in an information carrier, e.g., in a machine readable storage device or in a propagated signal, for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple computers. A computer program (also known as a program, software, software application, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file. A program can be stored in a portion of a file that holds other programs or data, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.
The processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).
Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, the processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. Information carriers suitable for embodying computer program instructions and data include all forms of non volatile memory, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
To provide for interaction with a user, the techniques can be implemented using a computer having a display device, e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor, for displaying information to the user and a keyboard and a pointing device, e.g., a mouse or a trackball, by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback; and input from the user can be received in any form, including acoustic, speech, or tactile input.
The techniques can be implemented in a computing system that includes a back-end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front-end component, e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the described techniques, or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network ("LAN") and a wide area network ("WAN"), e.g., the Internet.
The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The data processing system 400 includes a memory 420, which can be volatile and/or non-volatile memory, and is coupled with the communications bus 415. The system 400 can also include one or more cache memories. The data processing system 400 can include a storage device 430 for accessing a storage medium 435, which may be removable, read-only, or read/write media and may be magnetic-based, optical-based, semiconductor-based media, or a combination of these. The data processing system 400 can also include one or more peripheral devices 440(1)440(n) (collectively, devices 440), and one or more controllers and/or adapters for providing interface functions.
The system 400 can further include a communication interface 450, which allows software and data to be transferred, in the form of signals 454 over a channel 452, between the system 400 and external devices, networks, or information sources. The signals 454 can embody instructions for causing the system 400 to perform operations. The system 400 represents a programmable machine, and can include various devices such as embedded controllers, Programmable Logic Devices (PLDs), Application Specific Integrated Circuits (ASICs), and the like. Machine instructions (also known as programs, software, software applications or code) can be stored in the machine 400 and/or delivered to the machine 400 over a communication interface. These instructions, when executed, enable the machine 400 to perform the features and functions described above. These instructions represent controllers of the machine 400 and can be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. Such languages can be compiled and/or interpreted languages.
A number of implementations have been described. Nevertheless, it will be understood that various modifications may be made. For example, the described systems and techniques can be used for tuning modeling parameters of a thermal reservoir simulator used to control air input for in-situ combustion and/or for thermal operations for recovery of other types of petroleum or other substances. In addition, one or more of the operations described in
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These are the bookings recorded for the Doris C. Gravat Detention Center for Dec. 4. Some of the people listed may not have actually spent time in jail if they posted bond and were released. Although those listed have been arrested and charged, that does not mean they have been found guilty. All bookings may be viewed online by visiting www.aikenstandard.com and clicking on the Crime tab.
Calvin Michael Rosier, 23 shoplifting $2,000 or less
John Michael Martin Hickey, 17 simple possession of marijuana, public drunk
Anthony Tramaine Mayes, 37 driving under suspension MTF commitment, operating an uninsured vehicle, driving under suspension third or subsequent offense, giving false information to a law enforcement officer, driving under the influence first offense, open container
Tucker Reeves Gay, 21 driving under the influence
Joseph Dylan Craft, 20 public drunk, simple possession of marijuana, disobeying a lawful order
Christopher Moses Lawrence, 28 assault and battery
Pamela Barbara Holmes, 65 assault and battery third degree, shoplifting first offense
Steven Lewis Damon Bailey, 31 violation of conditions of parole
Michael Scott Gooding, 32 driving under the influence less than .10 first offense bench warrant
Derek Da Shawn Byrd, 23 awaiting warrant from North Augusta Public Safety, criminal domestic violence
Kessler Laron Gunter, 40 assault and battery two counts, failure to appear and pay
Monica Renee Smith, 41 gross intoxication
Erica Denise Hampton, 39 hold for Aiken County Sheriffs Office
Maurice Alexander Brooks, 28 criminal domestic violence
Faith Willieeishia Chandler, 21 assault and battery third degree
Donald Heyward Wood, 29 assault and battery second degree two counts
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- Google is the most used search engine in my school, according to interviews.
- Google is a web interface to the world.
- Google represents a Faustian bargain between society and technology.
- Google is a big platform for distributed computing.
- Who needs the Internet? We've got Google cache!
- Google was a search engine. Google is more than the sum of its usable parts. It is an entity that many use to access personalized information and find both new and old ideas alike. It is now an essential part of the Internet.
- Google is the other half of my brain.
- Google is the command line, the start of an OS.
- Google is a gateway to millions of ideas.
- Google is the crossroad where life is transfered from desktops to the Internet.
May 13, 2007
In Search of Google
Last week we tried to define Google using the collaboration features of Google Docs. I compiled a list of my favorite definitions, that are much better than the results for define:google:
This blog is not affiliated with Google.


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Rene - I wouldn't say that Nintendo has the wrong solution for modern gaming but that they're showing up to the next "showdown" in less optimal fashion. I believe that they may be on to something by adding the second display (signs of what MS intends to do with Smartglass already out). However, Nintendo continues on this quest to not be concerned as much with eye candy. And I'm sorry, while it may not be the most important aspect of gaming - graphics are a cornerstone of the gaming experience. And people will feel more drawn to alternatives when they aren't matched. I'm not saying they haven't had a successful run either without holding graphics as a high priority; of course they have. But as Sony and MS ( and whoever else) continue with introducing innovative technologies (ex Kinect) Nintendo will lose that ability to benefit from leading in the creativity arena.
Nintendo launches the Wii U, anyone putting their iPad down for it?
Nintendo is launching their next-generation video game console today, the Wii U, and just like the last one, it seems to be garnering more than its fair share of incredibly mixed reviews. The bottom line on original Wii was "best selling console collecting dust on the shelf" as hard-core and online gaming went to Xbox, and casual gaming to iOS. Now, however, Nintendo has added it's own iPad-like tablet controller to the Wii U, along with HD graphics, and perhaps even better online services.
Again, however, reviews are incredibly mixed. The Wii U tablet is sometimes a mirror, sometimes a second screen, but always a resistive touchscreen like phones pre-2007, difficult to use and flummoxing to understand. Nintendo's first party titles, including Mario, of course, are great, but good third party support is as questionable as always. I bought a Wii at launch and played it quite a lot at first, but haven't touched it in over a year. I'll be waiting on the Wii U.
Gone are the days I'm willing to buy Nintendo kit no questions asked. They haven't kept up with the times as well as I wish they had. Never mind not making Mario for iOS, that's their right and decision, but the Wii U just looks like the wrong solution for modern gaming, especially with the "Xbox 720" and "PlayStation 4" on the way -- and iOS encroaching on the living room with AirPlay. It looks complex and confused, and I'd rather see where it's going before I put any money into it.
Here are some reviews:
Anyone picking up a Nintendo Wii U today? If so, let me know what you think of it!
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Reader comments
Nintendo launches the Wii U, anyone putting their iPad down for it?
I may have been confusing there - but I did state that Nintendo may lose their ability to lead in the creativity arena...sound a little like innovate wouldn't you say? But I do agree with you that MS and Sony got their motion ideas based off of what Nintendo introduced to the market. However, I personally believe that MS trumped everyone with the Kinect regardless of sales. And if they continue improving technology down that avenue, I think gamers will be pleased about what the future holds. And I'm sure Sony will be right there too.
i wouldnt say nintendo doesnt care about graphics. they are just late to the show. i mean wii u should be able to do more than the ps3 and xbox360 graphics wise. (have to wait and see what sony and ms put out next) graphics aren't as big as they used to be. these are the first consoles to really break the 5 year cycle. used to be that every 5 years we get a new much more graphical console.
and honestly i havnt seen ms or sony introduce innovative technologies at all. Sonys Move and MS's Kinect are both just each companies ways of playing catch up to what they wii already had.
nintendos real fall is failing to realize what gamers want. and they had said for a long time they believed online gaming was just a fad. when it wasnt, gamers wanted and still want a real online experience, nintendo half assed it in the wii as if they were forced to put online games and it shows.
No, I will not be picking up a WiiU. I do want to try it at my local gamestop though. Since childhood, I've always been a Nintendo fan. I would choose Nintendo over Sega, Playstation, and even gave the Wii a try. But it wasn't for me. As I grew older, my taste for games changed. I chose games with better graphics and online multiplayer than those that were just "fun" like mario. Don't get me wrong, Mario, Zelda, and company are great games but making your console into a DS I don't think is the solution. I can see where there going with this but when the new generation of consoles come out, it will be a whole different ball game for Nintendo especially with Apple and Android eating into their "casual" game experience as well.
On a side note, Rene I noticed you watching the UFC's last night. Wasn't GSP awesome! So happy for that guy and would've loved to be in that arena in Canada last night!
I have a iPad 2 and iPhone 5, 4 and 3. And wasted a lot of money on games for them. And I came to realize I hate gaming on them. Alway having to touch the screen, hate it. I am a PC gamer and spent thousands of dollars on my rigs over the years just to pay games I even have 4 30" monitors.. I don't like consoles at all. So to answer your question no I won't be buying a Wii.
Windows 8 is good. Have your tried it? Let me guess, you used it on a Mac...
using it on the mac was the only way it was useable. windows 8 is a pain in the ass without some sort of touch controls. i had to delete it and go back to 7 on my desktop.
looks like to me MS's trend of every other windows version sucks still holds true. i'll be waiting for 9
Don't know. I use Windows 7 and will not use Win 8.
Don't know what it is about Nintendo. They have yet to make me want to move on. PS2 made me leave my PSone. PS3 made me forget those. XBOX 360 made me forget XBOX. Each iPad makes me care less about the last one. But with Nintendo I'd still rather play SNES or N64 than I would the new wii or wiiU. Possible because the games were much better. iPad has so many new apps. Xbox has a lot of known games same with ps3. They all have they're defining games. Wii doesn't. They don't have a game that has people lining up at midnight. Nintendo needs that ASAP
You might want to check that. There were people lining up for a midnight console launch in New York (http://www.nintendoworldreport.com/news/32527). As for "defining games", you should probably look at the long list of Nintendo exclusive franchises. If you don't find something to satisfy you there, then maybe you're better off going to play the next yearly iteration of Call of Duty, which is far from "defining".
As far as Articles go, this is incredibly daft.
The Gamepad is not an 'iPad-like tablet'. It's a control pad with a screen on it. Why the heck would you compare it to an iPad? It has no CPU, no RAM...it requires data from the WiiU console to operate. And you compare it to the iPad?
There are stated reasons for the screen being resistive. None impresses me, but perhaps stylus support was key where Nintendo are concerned. Besides, with full physical controls in place, it can be argued that the screen doesn't NEED to have multitouch.
I'll also say that NOT ONE SINGLE REVIEW of the WiiU that i've read (and I've read at least 4) have claimed the WiiU's GamePad was 'difficult to use and flummoxing to understand' as you've claimed.
I do not plan to buy a WiiU, but this was a poorly written piece which just seems like it was made out to trash a game console in favor of a tablet. Please don't ever call the GamePad a 'tablet' again. That's FUD.
Putting down my iPad for a device like this is like parking my Carbon Fiber Triathlon bike in favor of a Walmart huffy BMX for a race. It would be like trading in my iPhone 5 on a Motorola (not Droid) RAZR. It would be like rolling up to a NASCAR race in a PowerWheels Barbie car. Everyone claims to be iPad like, until you try an iPad and then laugh at the others.
I wonder how much longer console gaming will last. All evidence points to console sales collapsing and the console gaming market dropping to "niche" levels:
Global Gaming Market: "Console is not dead"
Game Console Market Will Shrink and Become a Niche
Nintendo, Sony to Suffer in 2012 as Console Market Plunges
I will only be picking up the WiiU if they announce that previous (original) Wii games will render at 1080P on the system. As of right now, I believe original Wii titles WILL play, but will render at the original 480P (and then be upscaled to 1080P, which is different than rendering at true 1080P). Currently, the Dolphin Wii emulator for PC is able to render at native 720 and 1080 resolutions.
This article is basically crap. But the question was asked, will I buy a Wii U?
Consoles are a waste of money. You end up with a ton of games and prepherials you can't get rid of when the next greatest thing comes out. The controls for FPS games are horrid, when compared to the PC's keyboard & mouse. Besides, in 6 months Nintendo will purposely out date this new console with a "new and improved" version called, "Nintendo Wii Ui".
I think I'll pass.
I will be purchasing a Wii U when it is available here. I've read a mix of reviews, and they go each way, although I've seen more positive than negative. Even then, the negative ones have the tone "It's probably better to wait for more games to come out" rather than a "don't buy". More important than the console reviews are the game reviews though, and I'm yet to see a review that claims the Wii U Game Pad doesn't add to the experience, which I believe is an excellent sign, and one of my primary reasons for picking one up.
I can accept the resistive touch screen, because multitouch is not required. I can't hold the controller with one hand, and touch the screen with two at the same time. Additionally, most reviews I've seen have described it as "more responsive than the DS touch screen", which I've never had any problems with.
Third party support looks improved from the past, but is impossible to tell until a console is a year old if it's going to maintain. Of course, the main reason many people buy a Nintendo console is because that's where the Nintendo games are. Want to play Mario (with/without Karts), Zelda, Metroid, Donkey Kong, Pokémon, Pikmin, Kirby or Fire Emblem? You're buying a Nintendo system (and this is part of the reason they'll never bring these to iOS - it's simply bad business).
If Apple maintains a touch screen without buttons, they'll never own my TV, and all gamers I know are the same. Whether I get a PS4, or the next XBox will then depend on the level of cross platform support from third parties. The Wii got next to none, which most it almost necessary for me to own another console, and again, it looks promising now, but we'll see down the track what happens.
Unfortunately it seems you find all things that aren't Apple confusing, including the Surface tablet and the Wii U, when they really aren't. You also consider Nintendo a direct competitor to Apple, when it really isn't.
I actually bought one and it is great. You have to understand that Nintendo is for kids and not "pro-gamers" as the games are watered down versions of the ones on PS3 and Xbox. The game pad is not a tablet and cannot be compared to an iPad HOWEVER, gaming on the iPad SUCKS!!! and should never be compared to gaming on a console EVER!!! iPad's got one good game, Bastian, and thats it... unless you like only being able to jump or run... oh wait, they got Mega Man X too. Anywho, the Wii U is great and you should get one if your have kids or a misses who doesnt like blowing people up or slashing them in half so much. P.S. the new XBox will destroy everyone else unless Sony ups the antee on a new PS.


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LAUREL HILL — Scott Varnum, the Laurel Hill School girls basketball coach is confident his Hobo team played better than the final score indicated in Thursday night's game against District 1-1A power Ponce de Leon.
When the final horn sounded the Pirates had a 58-30 win. But Varnum pointed out the scoreboard didn't tell the whole story.
"I'm proud of my girls tonight," he said. "They (the Hoboes) made some runs on them (the Pirates). There are some people that are going to look the score and not understand that we played a better game than the score indicated.
"The girls didn't quit. For the most part I thought we handled their pressure really well. And 0ur rebounding — we did a real good job on the boards."
PDL's Hannah Howell scored the first basket of the night 36 seconds after the opening tip and the Pirates the lead they would never relinquish.
An August Brown free throw for Ponce made it 3-0 with 6:55 left in the first quarter.
Jhanea Griffin got the Hoboes into the scoring column with 6:42 left in the period, but the 3-2 score was as close as Laurel Hill (1-4) would get the rest of the game.
The Pirates closed out the first quarter with a 17-10 run to lead 20-12 at the end of the period.
Five different PDL players scored in the first stanza, which was a sign to how the game would unfold.
While the Pirates shared the wealth in the scoring the Hoboes continued to look inside to Griffin for points. Griffin scored six of her game-high 19 points in the first quarter.
She did get some help from a Ty DeAndrade 3-pointer and a basket in the paint from freshman post player Gracie Reese.
The high octane Pirate offense was less explosive in the second quarter scoring just nine points. But the Pirate defense held the Hoboes to three points as PDL had a 29-15 lead at the half.
The second half was more of the same with the Pirates spreading the ball and scoring around while Laurel Hill continued to work the ball inside to Griffin.
Ponce led 47-21 at the end of the third quarter and finished off the game by outscoring the Hoboes 11-9 in the fourth quarter.
Griffin was the only Hobo to score in double figures. DeAndrade and Reese each scored five points. Jessica Fickett scored Laurel Hill's other point.
Delilah led the Pirates in scoring with 16 points. Hannah Howell and Devyn Butorac each scored eight points for Ponce de Leon.
Randy Dickson is the Crestview News Bulletin's sports editor. Email him at firstname.lastname@example.com, tweet him @BigRandle, or call 682-6524.


text:
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text:
Wed., March 14*
vs. Peoria Rivermen#
Allstate Arena
7 p.m.
Sat., March 17*
at Lake Erie Monsters
Quicken Loans Arena
6:30 p.m.
Sun., March 18*
at Toronto Marlies
Ricoh Coliseum
2 p.m.
#Illinois Lottery Cup
Click here for broadcast schedule, or to watch or listen to the action live online.
With 15 games remaining in the regular season, the Wolves share second place in the Midwest Division with 71 points (33-23-2-3) and trail first-place Charlotte by one point, but the Checkers hold one game in hand; Chicago is tied for second place with Peoria, but the Wolves hold two games in hand on the Rivermen.
--- Mike Duco: Paced the team with 3 assists and 4 points in three games last week, which included dishing out a career-high 3 helpers on Saturday ... Prior to this season, he never had a multiple-assist game but has three this year ... Ranks seventh on Chicago with 10 goals and ninth with 22 points in 50 games this season ... Dished out two assists, which included his first NHL point (A) on Jan. 10 at Tampa Bay, in six contests with the Canucks spanning two recalls this year
--- Eddie Lack: Saw his three-game winning streak snapped in a 4-0 shutout loss on Sunday ... Has surrendered just 21 goals in his last 13 appearances, which includes two shutouts, and has posted a 1.61 goals-against average and .951 save percentage during that span (8-5-0) ... Ranks second in the league with a .927 save percentage and shares sixth in the AHL with a 2.28 goals-against average in 37 games this year (17-16-3)
--- Byron Bitz: Posted 3 points (PPG, 2A) in three games last week, which included his first multiple-point outing of the year and the seventh of his AHL career on March 7 (2A) ... Accrued 4 assists and 6 points in 16 games this season in his first action since March 2010 after he missed the 2010-11 campaign due to injuries ... Registered 4 points (G, 3A) and 14 penalty minutes in eight games with the Canucks this year
--- Darren Haydar: Passed Bob Nardella for fourth place on Chicago's all-time scoring register with 2 points (G, A) on Saturday ... Has tallied 299 points (102G, 197A) in 257 career games with the Wolves spanning four seasons (2006-08; 2010-present) ... Paces the Wolves with 30 assists and ranks second on the squad with 45 points in 56 contests this year ... Has bagged a goal in three of his last four games after not lighting the lamp once in his previous 18 outings
--- The Wolves will play North Division opponents in four of their next five games, which includes road tilts in Lake Erie on Saturday and Toronto on Sunday; Chicago has tallied a 5-1-1-0 mark against the North Division this year.
--- Chicago has posted a 3-4-1-0 mark in its last eight games and has scored 12 goals in its last three victories but have lit the lamp just twice in its last five defeats, which includes being shut out three times.
--- Chicago has failed to score more than two goals in 15 of goaltender Eddie Lack's 19 total losses this year (0-12-3); the 24-year-old netminder has posted a 6-12-3 mark when receiving two or fewer goals of support this season.
--- The Wolves have surrendered six power-play goals in their last seven road tilts, which includes allowing one on four chances Sunday; Chicago ranks 10th in the AHL with an 83.3 efficiency rating on the penalty kill this season (195 of 234).
--- The Wolves bagged two power-play goals on four chances Saturday, the first time since Dec. 29, 2011, they have scored multiple man-advantage markers in a contest; Chicago shares 29th in the AHL with a 14.1 efficiency rating on the power play this season (37 of 263).
--- The Wolves sit in second place in the Illinois Lottery Cup with 10 wins in 20 games; Chicago trails Peoria (11 wins in 19 games) and leads Rockford (10 wins in 23 games) in the Illinois Lottery Cup standings.
--- For the 16th straight season, the Wolves will wear special St. Patrick's Day jerseys, presented by Jewel-Osco, at home games on Wednesday, March 14; Saturday, March 24; and Sunday, March 25. Fans can bid on the green jerseys worn by their favorite players in a silent auction, with the exception of five, four of which will be available in a raffle and the other through a blind auction. Proceeds will benefit Easter Seals and Chicago Wolves Charities. For more information, call 1-800-THE-WOLVES.
Sunday, March 11
(at) Charlotte 4, Chicago 0
--- The Wolves were blanked by the Charlotte Checkers 4-0 at Time Warner Cable Arena
--- Goaltender Eddie Lack notched 42 saves on 45 shots, while Checkers goaltender Mike Murphy kicked out all 22 of Chicago's shots
Saturday, March 10
Chicago 3, (at) Charlotte 1
--- The Wolves scored twice on the power play to propel them past the Charlotte Checkers 3-1 at Time Warner Cable Arena
--- Forwards Darren Haydar, Andrew Gordon and Byron Bitz scored
--- Goaltender Eddie Lack turned aside 26 of 27 shots
Wednesday, March 7
(at) Chicago 5, Milwaukee 2
--- The Wolves trailed 1-0 halfway through the first period but rattled off four straight goals en route to a 5-2 Amtrak Rivalry victory over the Milwaukee Admirals at the Allstate Arena
--- Forwards Anton Rodin (2G), Jordan Schroeder, Mike Duco and Darren Haydar tickled the twine for Chicago
--- Goaltender Eddie Lackposted 25 saves


text:
- Webby Awards 2008: Winners that use Google Maps - Chow, Yelp, Kayak & Trulia
- MapDango.com won Best Mashup at Mashup Camp 6 & honored on MashupAwards.com
- NYC Museum of Modern Art recognizes 14 Mashups in special exhibition
- AtlasPost.com - Demo 08 Winner (5 min. demo + acceptance talk + press)
- 2008 SEOmoz.org Web 2.0 Award Winners: Mapping Applications (All are Google Maps API sites) and Mapping (Google Maps #1)
- 14 Google Maps Mashups from Mashable.com
- Bikemap.net voted one of the most interesting Google Maps mashups by BILD-Zeitung (one of Germany's largest newspapers)
- SadakMap.com was one of 16 finalists for India Innovations 2008 - Times of India press coverage of SadakMap is here..
- YourMapper voted into top 20 of Cisco's Netsquared Featured Projects
- Google Japan 2008 My Maps Expo Winners (Japanese language)
- Platial 2007 Map Award Winners (26 winners in 16 categories)
- 2007 SEOmoz.org Web 2.0 Award Winners: Mapping (Includes Google Maps and 2 API sites)
- Mashable's 13 Must-See Google Maps Mashups
- Danish Mashup Boliga.dk wins New Media of the Year Award 2007
- Dormir en Buenos Aires named one of the best sites in Argentina by Matear 2007
- Gruvr.com honored by MashupAwards.com on Sep.11/07 - See other Google Maps mashup winners here and here..
- ProgrammableWeb.com's Mashup of the Day - Includes all Google Maps mashups that have been honored by site owner John Musser. For note, Baby Name Map was named mashup of the day on Oct.21/07!
- Webby Awards 2006 Best Practices & Services - Google Maps
- Webby Awards 2006 Personal Website (People's Voice) - DaveLovesElizabeth.com
- Spain Google Maps Mashup Competition (+ Video) - Winner: Wikiloc
- Platial.com 2006 Map Awards
- 2007 SEOmoz.org Web 2.0 Award Winners: Mapping (All 3 are Google Maps API sites)
Have I missed a mashup that has been given an award or special recognition? Please feel free to post a comment to tell the world about it! :)


text:
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text: This is my favorite show on tv. I've seen each episode at least 2 times and I can't get enough. Y'all got my wife wanting to shoot my AK's now. She wouldn't dare shoot em when I asked her. That's so great what y'all did for the Vet with that bad ass flamethrower. I think he's gonna need plastic surgery to remove that huge smile from his face. You and your crew are top notch, Will! Who Dat?!!!