Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images-Reference-Cited by-同舟云学术

Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images

Published:2022-02 Issue: Volume:240 Page:122599
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Golsanami Naser^ORCID,Jayasuriya Madusanka N.^ORCID,Yan Weichao,Fernando Shanilka G.^ORCID,Liu Xuefeng,Cui Likai,Zhang Xuepeng,Yasin Qamar,Dong Huaimin,Dong Xu

Funder

Shandong University of Science and Technology

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference67 articles.

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3. Relationships between the geomechanical parameters and Archie's coefficients of fractured carbonate reservoirs: a new insight;Golsanami;Energy Sources, Part A Recover Util Environ Eff,2020

4. Water-sensitive damage mechanism and the injection water source optimization of low permeability sandy conglomerate reservoirs;Wang;Petrol Explor Dev,2019

5. A multiscale approach for simulation of shale gas transport in organic nanopores;Yang;Energy,2020

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