Performance Prediction and Heating Parameter Optimization of Organic-Rich Shale In Situ Conversion Based on Numerical Simulation and Artificial Intelligence Algorithms-Reference-Cited by-同舟云学术

Performance Prediction and Heating Parameter Optimization of Organic-Rich Shale In Situ Conversion Based on Numerical Simulation and Artificial Intelligence Algorithms

Published:2024-03-20 Issue:13 Volume:9 Page:15511-15526
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Liu Yaqian¹²³,Yao Chuanjin¹²³^ORCID,Liu Baishuo¹²³,Xuan Yangyang¹²³,Du Xinge¹²³

Affiliation:

1. National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, Shandong 266580, China

2. Key Laboratory of Unconventional Oil & Gas Development China University of Petroleum (East China), Ministry of Education, Qingdao, Shandong 266580, China

3. School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, China

Funder

Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c00323

Reference70 articles.

1. Connotation and strategic role of in-situ conversion processing of shale oil underground in the onshore China

2. Types and resource potential of continental shale oil in China and its boundary with tight oil

3. Investigation of Chinese oil shale resources comprehensive utilization performance

4. Combined fluidized bed retorting and circulating fluidized bed combustion system of oil shale: 2. Energy and economic analysis

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