Refined Prediction Method for Production Performance of Deep-Water Turbidite Sandstone Oilfield: A Case Study of AKPO in Niger Delta Basin, West Africa

B Kang, H **ong, P Liu, Z Yuan, P **ao - ACS omega, 2024 - ACS Publications
Deep-water oilfields frequently employ large or superlarge well spacing, leading to
significant production dynamics influenced by reservoir factors. Traditional methodologies …

Advancing Relative Permeability and Capillary Pressure Estimation in Porous Media through Physics-Informed Machine Learning and Reinforcement Learning …

R Kalule, HA Abderrahmane, S Ahmed… - International …, 2024 - onepetro.org
Recent advances in machine learning have opened new possibilities for accurately solving
and understanding complex physical phenomena by combining governing equations with …