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Srikanta Mishra

Texas A&M University (TAMU), Central Texas

SCHOLARLY PAPERS

1

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Scholarly Papers (1)

1.

SMART – a Comprehensive Research and Development Program to Demonstrate Application of Machine Learning for Supporting CCS Deployment

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 15 Posted: 17 Dec 2024
Government of the United States of America - National Energy Technology Laboratory (NETL), Texas A&M University (TAMU), Central Texas, Government of the United States of America - National Energy Technology Laboratory (NETL), US Department of Energy Office of Fossil Energy and Carbon Management, US Department of Energy Office of Fossil Energy and Carbon Management, Government of the United States of America - Los Alamos National Laboratory, University of Texas at Austin - Gulf Coast Carbon Center, Lawrence Berkeley National Lab, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory and Sandia National Laboratories
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Abstract:

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machine learning; CO2 storage; reservoir management; reservoir optimization; real-time visualization