For complex and multi-layered clastic oil reservoir formations, modeling lithofacies and petrophysical parameters is essential for reservoir characterization, history matching, and uncertainty ...

This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western ...

I.1 Purpose: Test plausible geological/fluid scenarios dynamically to estimate ranges for rates, pressures, and recovery factors before or immediately after the first exploration well. I.2 Value-chain ...

Reservoir simulation is the physics-based, numerical prediction of subsurface fluid flow used to design field development and optimize production over the asset life. 2.1 Corner-point or unstructured ...

Chevron USA Inc. developed an extended embedded discrete fracture model (EDFM) which combines parent-well flow simulation with updated reservoir stress fields to predict growth of child-well fracture ...

Carbon capture and storage (CCS) project sanctioning requires reasonable estimates of CO 2 storage volume and plume migration in the reservoir. Numerical simulation based on geological data provides ...