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Zhiqi Zhong

Chengdu University of Technology

Sichuan Province Chengdu City

Huayang Youjian Lao Qu Zhengxi Street No.162

Chengdu 610059, Sichuan 610213

China

  • Chengdu University of Technology

SCHOLARLY PAPERS

4

DOWNLOADS

234

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Understanding and challenges to de-risk storage integrity during underground hydrogen storage in depleted gas reservoirs

Proceedings of the Australian Hydrogen Research Conference 2023 (AHRC 2023) 8-10 February 2023
Number of pages: 1 Posted: 05 Sep 2023 Last Revised: 25 Sep 2023
Lingping Zeng, M. Sarmadivaleh, Ali Saeedi, Yongqiang Chen, Zhiqi Zhong and Quan Xie
Government of the Commonwealth of Australia - CSIRO Energy, Curtin University, Curtin University, Government of the Commonwealth of Australia - CSIRO Energy, Chengdu University of Technology and Curtin University
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2.

Role of Co2 Geological Storage in China's Pledge to Carbon Peak by 2030

Number of pages: 21 Posted: 16 Jul 2022
Zhiqi Zhong, Yongqiang Chen, Meiyan Fu, Lingping Zeng, Jing Liang, Rupeng Ma, Kaishuo Yang and Quan Xie
Chengdu University of Technology, Government of the Commonwealth of Australia - CSIRO Energy, Chengdu University of Technology, Curtin University, affiliation not provided to SSRN, Curtin University, The University of Western Australia and Curtin University
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CO2 geological storage, China, Carbon peak, Carbon neutrality

3.

Three-Dimensional Numerical Simulation of Faults and Fracture Zones on Co2 Enhanced Shale Gas Recovery and Geological Sequestration

Number of pages: 23 Posted: 25 Apr 2025
Xinru He, Haiyan Zhu, Reza Rezaee, Peng ZHAO, Jun Zhou, Liang Huang, Zhiqi Zhong and Lei Wang
affiliation not provided to SSRN, Chengdu University of Technology, Curtin University, Sichuan University, Chengdu University of Technology, China University of Petroleum (Beijing) - State Key Laboratory of Heavy Oil Processing and Unconventional Petroleum Research Institute, Chengdu University of Technology and affiliation not provided to SSRN
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fault, CO2 sequestration, CH4 recovery, shale gas, THM coupled model, CS-EGR

4.

A Hybrid Physics-Informed Lstm Model for Wave Velocity and Pore Structure Prediction in Tight Sandstone Reservoirs

Number of pages: 27 Posted: 27 Jun 2025
Ding Gong, Haiyan Zhu, Zhaopeng Zhang, Liang Huang, Zhiqi Zhong, Lei Wang and Reza Rezaee
Chengdu University of Technology, Chengdu University of Technology, Chengdu University of Technology, China University of Petroleum (Beijing) - State Key Laboratory of Heavy Oil Processing and Unconventional Petroleum Research Institute, Chengdu University of Technology, Chengdu University of Technology and Curtin University
Downloads 35

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Tight sandstone, velocity prediction, Pore structure, Rock physics, Machine Learning, physics-data dual drive