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Pioneering the integration of artificial intelligence for an autonomous energy future.
Core Research Pillars
Intelligent Drilling
Optimization drilling operations using deep learning and ml for autonomous drilling operations.
Production Forecasting and Optimization
Building hybrid analytical and AI models that integrate production data with machine learning algorithms to enhance forecasting accuracy and optimize field management
Reservoir Characterization
Petroleum and geothermal reservoir characterization for energy optimization, applying supervised and unsupervised machine learning techniques.
Cement Integrity and Durability Modeling
Developing advanced cementitious systems and computational models for cement integrity analysis.
Integrity
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AI DPRS Collaborates with GNPC to Advance Reservoir Characterization
A strategic collaboration with the Ghana National Petroleum Corporation to integrate advanced Machine Learning and AI into reservoir workflows.
AI DPRS Launches First Version of ResCharAI
Announcing ResCharAI, an advanced reservoir characterization software developed in collaboration with GNPC.
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