Empowering Innovation Through AI and Information Technology

AI-Powered Intelligent Enhanced Oil Recovery (EOR) Software Maximizing Reservoir Recovery with Machine Learning & Automated Optimization

Performance Highlights Recovery Rate Boost: Increases hydrocarbon recovery by 15–30% compared to conventional EOR methods.

Real-Time Optimization: Continuously adjusts injection parameters (water, gas, chemical) for maximum sweep efficiency.

Cost Efficiency: Reduces EOR operational costs by 20–40% through AI-driven chemical & energy optimization.

Risk Mitigation: Predicts & prevents early breakthrough, fingering, and injectivity loss with 85%+ accuracy.

Compatibility & Integration

Data Inputs

• Reservoir Data: Static models (PETREL™, CMG), well logs (LAS), core data, PVT reports.
• Real-Time Feeds: SCADA (WITSML), downhole sensors (pressure/temperature gauges), production data (OSIsoft PI).
• Third-Party Software:
  • Reservoir Simulators (Eclipse®, tNavigator®) – AI refines simulation inputs.
  • Production Optimization Tools (PIPESIM®, Nexus®) – Syncs with lift strategies.

Control Systems

• Injection Well Automation: Adjusts water/gas injection rates via PLCs (Modbus, OPC-UA).
• Chemical Dosing Systems: AI-controlled surfactant/polymer injection (HART/Foundation Fieldbus).

How It Works: AI-Driven EOR Optimization

1. Reservoir Screening & EOR Selection

• AI Evaluates:
  • Reservoir rock/fluid properties (permeability, viscosity, wettability).
  • Historical production decline curves.
• Recommends Optimal EOR Method:
  • Water Flooding (low-cost, high-sweep efficiency).
  • Gas Injection (CO₂, miscible/immiscible).
  • Chemical EOR (Polymer, Surfactant-Polymer, Nanofluids).
  • Thermal (Steam Flooding for heavy oil).

2. Smart Injection Management

• Adaptive Water Flooding:
  • AI adjusts injection rates & patterns based on real-time pressure data to avoid channeling.
• CO₂ WAG (Water-Alternating-Gas) Optimization:
  • ML predicts minimum miscibility pressure (MMP) and optimizes WAG cycles.
• Chemical EOR Precision Dosing:
  • AI models surfactant adsorption and polymer viscosity degradation to minimize waste.

3. Production Monitoring & Anomaly Detection

• Early Breakthrough Warning:
  • Detects water/gas breakthrough via rate/pressure anomalies.
• Conformance Control:
  • Recommends gel treatments or injection profile modifications to fix uneven sweep.

4. Economic & Sustainability Analytics

• ROI Forecasting:
  • Calculates NPV (Net Present Value) of EOR projects with uncertainty ranges.
• Carbon Footprint Reduction:
  • Optimizes CO₂ recycling and energy use per barrel.

Technical Advantages

Deployment Options

• Cloud-Based (AWS/Azure): For multi-field portfolio analysis.
• Edge Computing (On-Premise): For real-time well control.

Dashboard Features

• EOR Performance Heatmaps (sweep efficiency, recovery factor).
• Automated Alerts (injector/producer imbalances).
• Remediation Recommendations (stimulation, shut-ins).

Case Study Results

• Field A (Carbonate Reservoir):
  • +22% recovery after AI-optimized polymer flooding.
  • $8M saved in reduced chemical costs over 3 years.
• Field B (Mature Sandstone):
  • CO₂-EOR efficiency improved by 30% via AI-controlled WAG cycles.

• Why Choose Our AI EOR Solution?
• ✅Higher Recovery – Extract more from mature fields.
  ✅ Lower Costs – Reduce chemical/energy waste.
  ✅ Faster Decisions – No more trial-and-error.
  ✅ Seamless Integration – Works with your existing SCADA/simulators.

Ideal for:

• Brownfield Revitalization
• Unconventional EOR (Shale, Tight Oil)
• CO₂ Sequestration Projects