Relative permeability (RP) curves which provide fundamental insights into porous media
flow behavior serve as critical parameters in reservoir engineering and numerical simulation …

A review of the existing two-and three-phase relative permeability correlations shows a lot of
pitfalls and restrictions imposed by (a) their assumptions (b) generalization ability and (c) …

Permeability is universally considered as an important parameter since its data is critical for
some basic geological work, such as constructing a pore-throat system of reservoir …

This study aims to present a novel approach for estimating relative permeability curves using
Machine Learning (ML) and Deep Learning (DL) techniques based on production data. This …

Recent advances in machine learning have opened new possibilities for accurately solving
and understanding complex physical phenomena by combining governing equations with …

Permeability plays an essential role in reservoir-related studies, including fluid flow
characterization, reservoir modeling/simulation, and management. However, operational …

Nuclear magnetic resonance (NMR) logs can provide information on some critical reservoir
characteristics, such as permeability, which are rarely obtainable from conventional well …

Permeability is an essential petrophysical parameter for reservoir modeling, reservoir
classification, and productivity prediction in tight sandstone reservoirs. In this study, multiple …

The relative permeability test (RPT) plays an important part in production prediction, the law
of water cut increasing analysis, the research on recovery factor and the reservoir numerical …

The H formation of the Y gas field in the X depression belongs to a low-permeability tight
sandstone reservoir affected by sedimentation, diagenesis, and cementation. The lithology …