Empowering Innovation Through AI and Information Technology

Accelerating Discovery with Machine Learning & Geophysical Intelligence

Performance Highlights

• High-Accuracy Prospect Identification:
  • Achieves 90%+ precision in hydrocarbon prediction by integrating seismic, gravity, magnetic, and well log data.
  • Reduces false positives by 40% compared to conventional methods.

• Rapid Data Processing:
  • Analyzes terabytes of 3D seismic data in hours (vs. weeks manually) using distributed AI algorithms.
  • Real-time interpretation with <5ms latency for interactive decision-making.
• Risk Mitigation:
  • Quantifies uncertainty through probabilistic modeling (Monte Carlo simulations).
  • Flags low-potential zones to minimize dry-well costs.

Compatibility & Integration

• Seismic Data Formats: Supports SEG-Y, SEG-D, LAS, and DLIS for seamless ingestion.
• Third-Party Software Integration:
  • Petrel™ (Schlumberger), Kingdom® (IHS Markit), OpenWorks® (Halliburton) via APIs.
  • Cloud Platforms: AWS S3, Azure Blob Storage for scalable data handling.
• GIS & Geospatial Tools:
  • Exports results to ArcGIS, QGIS for map-based visualization.
  • WMS/WFS compliant for interoperability with government geological surveys.

How It Works:

1. Data Fusion & Preprocessing:
   • Ingests multi-source data (seismic surveys, legacy well logs, satellite imagery).
   • AI cleans noisy data (de-multiple, migration artifacts) automatically.
2. AI-Driven Interpretation:
   • Fault & Horizon Detection:
     • Uses convolutional neural networks (CNNs) to identify subtle geological features.
     • Maps fault lines with <1m resolution in complex salt basins.
   • Reservoir Characterization:
     • Predicts porosity, permeability, and fluid saturation via ensemble ML models (Random Forest, XGBoost).
   • Play Fairway Analysis:
     • Prioritizes high-potential zones using basin modeling and analogs.
3. Decision Support:
   • Generates ranked drill targets with ROI estimates.
   • Interactive 3D visualization of reservoirs with risk heatmaps.

Technical Advantages

• Algorithm Transparency:
  • “Explainable AI” modules detail why a zone was flagged (e.g., “High amplitude anomaly + AVO Class II response”).
• Edge Deployment:
  • Runs on ruggedized field laptops for real-time interpretation during seismic acquisition.
• Regulatory Compliance:
  • Adheres to SEC/Petroleum Resources Management System (PRMS) standards for resource reporting.

Outcome: 30–50% faster exploration cycles, 20% higher discovery rates, and reduced leasing costs via targeted bids.

Key Differentiators vs. Conventional Tools