Coal permeability alteration prediction during CO2 geological sequestration in coal seams: a novel hybrid artificial intelligence approach-Reference-Cited by-同舟云学术

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Coal permeability alteration prediction during CO2 geological sequestration in coal seams: a novel hybrid artificial intelligence approach

Published:2022-05-19 Issue:3 Volume:8 Page:
ISSN:2363-8419
Container-title:Geomechanics and Geophysics for Geo-Energy and Geo-Resources
language:en
Short-container-title:Geomech. Geophys. Geo-energ. Geo-resour.

Author:

Yan Hao,Zhang Jixiong,Zhou Nan,Shi Peitao,Dong Xiangjian^ORCID

Funder

Fundamental Research Funds for Central Universities of the Central South University

Basic Research Program of Jiangsu Province

Peng Cheng Shang Xue Education Fund of CUMT Education Development Foundation

Publisher

Springer Science and Business Media LLC

Subject

Economic Geology,General Energy,Geophysics,Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s40948-022-00400-7.pdf

Reference45 articles.

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2. Amiri B, Hossain L, Crawford JW, Wigand RT (2013) Community detection in complex networks: multi–objective enhanced firefly algorithm. Knowl-Based Syst 46:1–11

3. Anggara F, Sasaki K, Sugai Y (2016) The correlation between coal swelling and permeability during CO2 sequestration: a case study using Kushiro low rank coals. Int J Coal Geol 166:62–70

4. Baskaran D, Sinharoy A, Pakshirajan K, Rajamanickam R (2020) Gas-phase trichloroethylene removal by Rhodococcus opacus using an airlift bioreactor and its modeling by artificial neural network. Chemosphere 247:125806

5. Bokde ND, Tranberg B, Andresen GB (2021) Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling. Appl Energy 281:116061

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