An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements

Author:

Nagao MasahiroORCID,Yao ChangqingORCID,Onishi Tsubasa,Chen Hongquan,Datta-Gupta Akhil,Mishra Srikanta

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Reference52 articles.

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4. Geologic CO2 sequestration monitoring design: a machine learning and uncertainty quantification based approach;Chen;Appl. Energy,2018

5. Computing pressure front propagation using the diffusive-time-of-flight in structured and unstructured grid systems via the fast-marching method;Chen;SPE J.,2021

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