Primary drainage capillary pressure data are usually correlatable with a 3D predictable
property of grid cells. Accordingly, rock ty** is normally performed based on an …

Petrophysical rock ty** (PRT) and permeability prediction are of great significance for
various disciplines of oil and gas industry. This study offers a novel, explainable data-driven …

The low salinity water flooding (LSWF) technique has established itself as cost-effective and
environment-friendly in nature but its mechanisms are still unclear. Recovery due to LSWF …

Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …

The accurate prediction of permeability and porosity is an important foundation for high-
quality reservoir identification and geological modelling. However, the strong heterogeneity …

This study introduces an integrated evaluation of geological and geophysical data, including
sedimentology, diagenetic alteration, image log analysis, core measurements, formation …

Application of artificial neural network (ANN, eg, Multi-layer perceptron, MLP) became
widespread in the petroleum industry, especially in formation evaluation, reservoir …

The primary objective of this study is to identify and analyze the petrophysical properties of
the newly investigated AEB_IIIG member reservoir in Meleiha West Deep (MWD) Field and …

The traditional pore structure classification scheme separates the qualitative pore origin
classification from the quantitative pore structure parameter classification. This separation …

As a fixed reservoir rock property, pore throat size distribution (PSD) is known to affect the
distribution of reservoir fluid saturation strongly. This study aims to investigate the relations …