Abstract Digital Core Analysis (DCA) has emerged as a crucial instrument in reservoir
characterization in recent times. With the advent of high-resolution micro-CT imaging, it is …

In recent years machine learning algorithms have been gaining momentum in resolving
subsurface flow issues related to hydrocarbon flows, Carbon capture utilization and storage …

The multiscale finite volume framework is extended with physical-based grid adaptation
(MSFV-GA) for three-dimensional fully unstructured grids. The MSFV method produces large …

Simulation of subsurface flow through fractured media is significantly influenced by
uncertainty in matrix block size, fracture aperture and fracture distribution due to inherent …

Simulation of multiphase transport through fractured porous media is highly affected by the
uncertainty in fracture distribution and matrix block size that arises from inherent …

In this study, polynomial chaos expansion (PCE) will be utilized to investigate propagation
and evolution of uncertainty from uncertain model parameters to model outputs. Unknown …

Abstract An enhanced Multi-scale Finite Volume (MsFV) method is proposed to efficiently
simulate two phase flow through highly heterogeneous porous media. Here, the accuracy of …

Establishing reservoir numerical simulation and profile control optimization methods
considering the mechanism of profile control has always been a difficult research problem at …

The well pattern and boundary shape of reservoirs determine the distribution of the
remaining oil distribution to a large extent, especially for small-scale reservoir blocks …

The flow through saturated porous soil is described by Darcy equation that generally has no
analytical solution. Therefore, we have to use numerical methods to solve it. There exist …