default author photo

Guoxiang Liu

National Energy Technology Laboratory

3610 Collins Ferry Rd

Morgantown, WV 26507

United States

  • National Energy Technology Laboratory

SCHOLARLY PAPERS

1

DOWNLOADS

120

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Physics-Coupled Machine Learning Toolset for Geological Carbon Storage Evaluation and Performance Analysis

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 16 Posted: 11 Nov 2022
Guoxiang Liu, Xiongjun Wu, Chung-Yan Shih, Veronika Vasylkivska and Grant Bromhal
National Energy Technology Laboratory, National Energy Technology Laboratory, Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL) and National Energy Technology Laboratory
Downloads 120 (596,393)

Abstract:

Loading...

Machine Learning; Geological Carbon Storage; Virtual Learning Environment; Capacitance Resistance Model; Injection Performance; Reservoir Estimation