Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm

S Kamrava, P Tahmasebi, M Sahimi - Neural Networks, 2019 - Elsevier
Accounting for the morphology of shale formations, which represent highly heterogeneous
porous media, is a difficult problem. Although two-or three-dimensional images of such …

Reconstruction of nonstationary disordered materials and media: Watershed transform and cross-correlation function

P Tahmasebi, M Sahimi - Physical Review E, 2015 - APS
Nonstationary disordered materials and media, those for which the probability distribution
function of any property varies spatially when shifted in space, are abundant and …

Wavelet transforms for the simulation of flow processes in porous geologic media

Q Wang, GJ Moridis, TA Blasingame - Transport in Porous Media, 2023 - Springer
Wavelets are localized small waves that exhibit the characteristic oscillatory behavior of
waves with an amplitude that declines rapidly to zero. Their properties include orthogonality …

Geostatistical simulation and reconstruction of porous media by a cross-correlation function and integration of hard and soft data

P Tahmasebi, M Sahimi - Transport in Porous Media, 2015 - Springer
A new method is proposed for geostatistical simulation and reconstruction of porous media
by integrating hard (quantitative) and soft (qualitative) data with a newly developed method …

Upscaling thermal conductivities of sedimentary formations for geothermal exploration

W Rühaak, A Guadagnini, S Geiger, K Bär, Y Gu… - Geothermics, 2015 - Elsevier
An important issue in the numerical simulation of geothermal reservoirs is the problem of
scales. Data are collected at a scale usually smaller than the one used to discretise the …

Upscaling of the permeability by multiscale wavelet transformations and simulation of multiphase flows in heterogeneous porous media

MR Rasaei, M Sahimi - Computational Geosciences, 2009 - Springer
We describe a new approach for simulation of multiphase flows through heterogeneous
porous media, such as oil reservoirs. The method, which is based on the wavelet …

Upscaling of solute transport in disordered porous media by wavelet transformations

M Moslehi, FPJ de Barros, F Ebrahimi… - Advances in Water …, 2016 - Elsevier
Modeling flow and solute transport in large-scale (eg) on the order of 10 3 m heterogeneous
porous media involves substantial computational burden. A common approach to alleviate …

Upscaling of geological models of oil reservoirs with unstructured grids using lifting-based graph wavelet transforms

A Rezapour, A Ortega, M Sahimi - Transport in Porous Media, 2019 - Springer
Wavelet transforms (WTs) constitute a class of powerful tools for spectral and local analysis
of data, such as time series, geophysical data, and well logs, as well as modeling of various …

Analysis of cross correlations between well logs of hydrocarbon reservoirs

H Dashtian, GR Jafari, Z Koohi Lai, M Masihi… - Transport in porous …, 2011 - Springer
We carry out a series of cross-correlation analysis of raw well-log data, in order to study the
possible connection between natural gamma ray (GR) logs and other types of well logs …

Quantifying the reimbibition effect on the performance of gas‐oil gravity drainage in fractured reservoirs: Mathematical modelling

N Rahmati, MR Rasaei - The Canadian Journal of Chemical …, 2019 - Wiley Online Library
As a major oil production mechanism, gravity drainage in fractured oil reservoirs is heavily
affected by the reimbibition phenomenon. In this work, a stack of oil‐saturated two matrix …