1. A computer implemented method for predictive analysis of multiple and varying topside equipment or topside systems used on one or more oil and gas field platforms located offshore or onshore comprising the steps of: inputting to a data aggregator on a computer system real-time data streams from one or more sensors sensing topside parameters of interest on the multiple and varying topside equipment located on such one or more platforms, such topside equipment containing one or more sensors for monitoring in real-time the performance of such topside equipment based on such topside parameters of interest; time-stamping such sensor data; aggregating such sensor data into a common data format; transmitting the aggregated, formatted sensor data to a computerized data analysis engine; inputting into the data analysis engine multiple data streams containing information relevant to the topside operating equipment or topside systems; providing a neural network within the data analysis engine; generating self organizing maps within the data analysis engine; using the neural network engine to transform the multiple and varying topside equipment data streams from a monitoring state, function or use to a predictive state, function or use; generating status indicators in real-time relevant to the operation of the topside equipment or topside systems; transmitting such status indicators to one or more end users over a network; and providing a computer-based dashboard software-based display system for displaying to such end user(s) such transmitted data.