Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in The Illinois Basin
- NETL
- Leidos, Inc.
This is the conference paper accompanying an oral presentation at the SPE Annual Technical Conference and Exhibition (ATCE) October 16 to 18 in San Antonio, TX. The paper highlights the application of machine learning for fracture network mapping for CCUS use case in Illinois Basin – Decatur Project (IBDP) based on injection data and passive seismic data. The results will be coupled to the dynamic study for geomechanical impact quantification for monitoring and risk assessment for CO2 storage.
- Research Organization:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE)
- OSTI ID:
- 2228741
- Country of Publication:
- United States
- Language:
- English
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