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