Neural Network‐Based CO 2 Interpretation From 4D Sleipner Seismic Images
Author:
Affiliation:
1. Department of Civil and Environmental Engineering National University of Singapore Singapore Singapore
2. Department of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette USA
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB022524
Reference26 articles.
1. Ten years' experience of monitoring CO2 injection in the Utsira Sand at Sleipner, offshore Norway
2. Sequestration of CO2 in geological media in response to climate change: capacity of deep saline aquifers to sequester CO2 in solution
3. Sleipner Vest CO2 Disposal, CO2 Injection Into A Shallow Underground Aquifer
4. Spatial and temporal evolution of injected CO2at the Sleipner Field, North Sea
5. A risk-based framework for measurement, monitoring and verification of the Quest CCS Project, Alberta, Canada
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