Automated fault detection without seismic processing
For hydrocarbon exploration, large volumes of data are acquired and used in physical modeling-based workflows to identify geologic features of interest such as fault networks, salt bodies, or, in general, elements of petroleum systems. The adjoint modeling step, which transforms the data into the mo...
Main Authors: | Araya-Polo, Mauricio (Author), Dahlke, Taylor (Author), Frogner, Charlie (Author), Hohl, Detlef (Author), Zhang, Chiyuan (Contributor), Poggio, Tomaso A (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Society of Exploration Geophysicists,
2017-06-20T15:32:51Z.
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Subjects: | |
Online Access: | Get fulltext |
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