Review of Shale Gas Transport Prediction: Basic Theory, Numerical Simulation, Application of AI Methods, and Perspectives-Reference-Cited by-同舟云学术

Review of Shale Gas Transport Prediction: Basic Theory, Numerical Simulation, Application of AI Methods, and Perspectives

Published:2023-01-31 Issue:4 Volume:37 Page:2520-2538
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Jiang Zhiyuan¹^ORCID,Wang Wenkai²,Zhu Huangyi²,Yin Ying²^ORCID,Qu Zhiguo²^ORCID

Affiliation:

1. School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi710049, China

2. MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi710049, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.2c03620

Reference161 articles.

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5. Landry, C. J.; Prodanović, M.; Reed, R.; Eichhubl, P.; Mohanty, K.Estimating mudrock oil-water relative permeability curves using digital rock physics, In Proceedings Unconventional Resources Technology Conference, Austin, Texas, 24–26 July 2017, Society of Exploration Geophysicists; American Association of Petroleum: 2017; pp 2711–2731.

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