Optimizing permeability and porosity prediction with advanced machine learning: A case study unlocking the complexities of late cretaceous reservoirs, gulf of suez, Egypt

MACHINE LEARNING APPLICATION FOR PREDICTION OF POROSITY AND PERMEABILITY LOGS: A CASE STUDY OF O-W FIELD NIGER DELTA

Predicting the porosity and permeability of hydrocarbon reservoirs is a key part of figuring out how

Implications of machine learning on geomechanical characterization and sand management: a case study from Hilal field, Gulf of Suez, Egypt

Abstract Sand production is one of the major challenges in the oil and gas industry, so a comprehen

Reservoir Rock Typing of Heterogeneous Sandstones Using Machine Learning, Petrophysics, and Core Characterization: A Case Study of the Nubia Sandstone, Gulf of Suez, Egypt

Pre-Cenomanian Nubia sandstone is recognized one of the most prolific reservoirs in the Gulf of Suez

Pore Pressure Prediction using the Artificial Intelligence techniques; a case study of Rudeis Formation at Al-Amal Oil Field, Gulf of Suez, Egypt

Pore pressure evaluation and prediction is one of the most important tools in the oil and gas indust

Machine Learning for Sonic Logs Prediction: A Case Study from the Niger Delta Basin in the Gulf of Guinea

Abstract Sonic logs are very essential for rock type identification, hydrocarbon ty

Prediction of the final size for COVID-19 epidemic using machine learning: A case study of Egypt