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 ...

This study focuses on modeling and analyzing filtration processes in oil reservoirs of small fields, using the Northern Karamandybas field as a case study. It examines the geological and ...

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 ...

A new framework for the simulation of oil and gas production systems integrates reservoir, flow assurance, and economic discipline models in addition to optimizing subsea layout and FPU placement. The ...

Reservoir modeling integrates geology, petrophysics, geophysics, PVT, and production data into a predictive, physics-based model to forecast fluid flow and optimize field development and operations.

The University of Wyoming’s Enhanced Oil Recovery Institute (EORI) has released a new publication regarding three-dimensional modeling of petroleum reservoirs ...

Digital twins in reservoir modeling are dynamic, data-driven replicas of subsurface systems that continuously align physics-based models with real-time field data. They sit at the nexus of subsurface ...