Machine learning has a significant advantage for many difficulties in the oil and gas industry, especially when it comes to resolving complex challenges reservoir characterization. Permeability is one of most difficult petrophysical parameters predict using conventional logging techniques. Clarifications work flow methodology are presented alongside comprehensive models this study. The purpose ...

To obtain new oral drugs in the beyond rule of five space, PROTACs among others, molecular properties should be optimized early drug discovery. Degraders call for design strategies which focus on intramolecular interaction and chameleonicity. In parallel, tailored revalidation permeability assessment prediction methods becomes fundamental this innovative chemical space.

Clay soil is a common building foundation material, and its permeability very important for the safety of pits later settlement buildings. However, traditional Kozeny-Carman (K-C) equation shows serious discrepancies when predicting clay in treatment. Therefore, solving application K-C problem faced by engineers scholars. In this paper, influence mineralogy on pore structure analyzed, then effe...

A novel approach of simulating hydromechanical coupling in pore-scale models of porous media is presented in this paper. Parameters of the sandstone samples, such as the stress-strain curve, Poisson's ratio, and permeability under different pore pressure and confining pressure, are tested in laboratory scale. The micro-CT scanner is employed to scan the samples for three-dimensional images, as ...