Abstract Image segmentation remains the most critical step in Digital Rock Physics (DRP) workflows, affecting analysis of physical rock properties. Conventional techniques struggle with numerous image artifacts and user bias, which lead to considerable uncertainty. This study evaluates advantages using random forest (RF) algorithm for fractured rocks. The quality is discussed compared two conve...

In this article, we present a numerical iterative method for the solution of internal viscous and incompressible flows in real porous three-dimensional bodies at their pore scale. We use penalized formulation problem involving velocity vorticity: an operator splitting allows to split apart diffusion (inherited from Stokes equation) penalization phenomena (which takes into account solid matrix)....

A considerable effort has been made in the literature for quality assurance (QA) and checking (QC) of petrophysical log data computation reservoir rock property parameters. Well plays an integral role building a physics model quantitative interpretation (QI) work. poor-quality may lead to significant financial HSSE implications by drilling wells undesired locations. Historically, variety techni...

Porosity and saturation are fundamental sedimentary properties that affect both seismic wave propagation and appraisal development and production of an oil field. Traditionally, these parameters have been estimated from seismic impedances and velocities using Biot-Gassman theory and/or or porosity-velocity relationships. However, when using theory to relate surface seismic attributes to reservo...

Mapping sparse well data into 3D volumes is a challenging problem. Specifically, as seismic velocity model buildings (VMB) requires 3D velocity and anisotropy volumes, and as most anisotropy estimates are calibrated to borehole data, generating 3D anisotropic models relies heavily on extrapolating sparse well data. This spatial extrapolation problem is ill posed and many subjective decisions ar...