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--- |
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license: mit |
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tags: |
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- oil-and-gas |
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- drilling |
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- physics-informed |
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- edge-ai |
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- realtime |
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- ml-agent |
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- deepboreai |
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library_name: deepboreai-sdk |
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pipeline_tag: tabular-classification |
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model-index: |
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- name: DeepBoreAI Agent |
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results: [] |
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--- |
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# DeepBoreAI Agent: Real-Time Predictive Drilling Model |
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**DeepBoreAI** delivers vendor-agnostic, physics-informed ML agents designed to predict and mitigate drilling hazards in real time. These agents are optimized for edge deployment, with live updates driven by telemetry from WITSML-compliant sources. |
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--- |
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## Model Purpose |
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This model is part of the **DeepBoreAI ML Agent Suite** and is specialized in: |
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- Predicting mechanical/differential sticking |
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- Optimizing rate of penetration (ROP) |
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- Identifying hole cleaning inefficiencies |
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- Detecting washouts and mud losses |
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Each model is informed by a hybrid architecture that blends: |
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- Physical laws of drilling dynamics (e.g., conservation of energy, pressure balance) |
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- Online learning algorithms that adapt to new drilling conditions |
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--- |
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## Use Cases |
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- **Real-time drilling optimization** |
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- **Anomaly detection and alerting** |
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- **Autonomous drilling guidance systems** |
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- **Rig edge computing deployments** |
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--- |
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## How to Use |
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Install the DeepBoreAI SDK: |
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```bash |
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pip install deepboreai-sdk |
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``` |
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Use this model in Python: |
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```python |
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from deepboreai_sdk.sdk import DeepBoreAI |
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client = DeepBoreAI() |
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data = { |
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"bit_depth": 2000, |
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"wobs": 15.2, |
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"rpm": 130, |
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"torque": 500, |
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"flow_rate": 400, |
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"mud_density": 1.1, |
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"annular_pressure": 80 |
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} |
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result = client.post_telemetry(data) |
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print(result) |
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``` |
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--- |
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## Model Details |
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- **Architecture**: Physics-informed neural network with online learning |
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- **Precision**: Validated at 90%+ on historical and synthetic drilling datasets |
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- **Latency**: Optimized for <1s inference on edge devices |
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--- |
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## Citation |
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If you use this model or DeepBoreAI, please cite: |
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``` |
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@software{deepboreai2025, |
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author = {DeepBoreAI Team}, |
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title = {DeepBoreAI: Real-Time Predictive AI Agents for Drilling}, |
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year = 2025, |
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url = {https://huggingface.co/tommytracx/DeepBoreAI}, |
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license = {MIT} |
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} |
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``` |
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--- |
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## License |
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MIT License. Free for academic and commercial use. |
