There is a growing interest in characterizing the pore structure of reservoir rocks using the
low field nuclear magnetic resonance technique. The transverse surface relaxivity is widely …

Data science as a flourishing interdisciplinary domain of computer and mathematical
sciences is playing an important role in guiding the porous material research streams. In the …

DeePore 2 is a deep learning workflow for rapid estimation of a wide range of porous
material properties based on the binarized micro–tomography images. By combining …

Aggregates are the structural units of soils, and the physical stability is considered to be a
keystone parameter of soil quality. However, little is known about the evolution of the pore …

The high-temperature response of rock is quite useful for successful exploration and
exploitation of various conventional as well as unconventional energy systems such as …

Rock classification plays an important role in rock mechanics, petrology, mining
engineering, magmatic processes, and numerous other fields pertaining to geosciences …

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

Analyzing the pore structure in carbonate reservoirs plays a crucial role in predicting fluid
flow characteristics within these formations. The goal of the study was to use machine …

Reservoir characterization (RC) is a process of finding petrophysical properties of the
subsurface mainly from the seismic and well-log data. The nonlinear and heterogeneous …

Determining the formation rock type and their petrophysical properties using well-log data is
necessary for resource assessment. Formation porosity, shale content, and saturations must …