ResCharAI
Reservoir Characterization using AI
An advanced reservoir characterization software developed by AI DPRS in collaboration with the Ghana National Petroleum Corporation (GNPC).
Project Overview
ResCharAI was designed to modernize reservoir analysis by combining geological expertise with data-driven intelligence. The system leverages core data, well logs, and image facies data to provide a comprehensive understanding of reservoir properties and fluid flow behavior.
Using unsupervised Machine Learning techniques, specifically K-means clustering, the software automatically identifies High Flow Zones (also known as Hydraulic Flow Units) within the reservoir. This enables more accurate rock typing, improved flow unit classification, and enhanced prediction of reservoir performance.
Key Capabilities
Scalable architecture for advanced subsurface analytics.
Automated Identification
Automated Hydraulic Flow Unit identification using unsupervised learning.
Data Integration
Seamless integration of core, log, and image facies data for holistic analysis.
Smart Zonation
Data-driven reservoir zonation for precise characterization.
Performance Prediction
Improved reservoir quality prediction driving better production forecasts.
Real-World Impact
Enhanced Decisions
Reduces subjectivity in reservoir classification and increases analytical consistency for more reliable outcomes.
Operational Efficiency
Streamlines complex workflows and supports smarter field development strategies, saving valuable time and resources.
Digital Innovation
Bridges fundamental engineering principles with AI, setting a new standard for modern energy industry technologies.