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Sanjay Tamrakar

Government of the United States of America - National Energy Technology Laboratory (NETL)

Pittsburgh, PA

United States

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Machine Learning-Based, Near Real-time Leakage Detection for Caprock Integrity Monitoring using Distributed Acoustic Sensing (DAS) Data from Carbon Capture and Sequestration (CCS) Operations

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 12 Posted: 29 Nov 2022
Priya Ravi Ganesh, Mark Kelley, Sanjay Tamrakar, Brandon Hill, Jared Schuetter, Veronica Rodriguez Tribaldos and Omotayo Omosebi
Battelle, Battelle, Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab) and University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab)
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Abstract:

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Distributed Acoustic Sensing (DAS), caprock, leakage, strain data, monitoring, geologic storage