Reservoir tortuosity prediction: Coupling stochastic generation of porous media and machine learning-Reference-Cited by-同舟云学术

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Reservoir tortuosity prediction: Coupling stochastic generation of porous media and machine learning

Published:2023-12 Issue: Volume:285 Page:129512
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Zou Xiaojing,He Changyu,Guan Wei,Zhou Yan,Zhao Hongyang,Cai Mingyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference64 articles.

1. Recent advances in carbon dioxide utilization;Zhang;Renew Sustain Energy Rev,2020

2. Uncertainty effect of CO2 molecular diffusion on oil recovery and gas storage in underground formations;Gamal Rezk;Fuel,2022

3. Spontaneous imbibition behavior in porous media with various hydraulic fracture propagations: A pore-scale perspective;Zhou;Adv Geo-Energy Res,2023

4. The critical factors for permeability-formation factor relation in reservoir rocks: pore-throat ratio, tortuosity and connectivity;Cai;Energy,2019

5. Effects of heterogeneous pore closure on the permeability of coal involving adsorption-induced swelling: a micro pore-scale simulation;Zhou;Energy,2022

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