Machine seismic: an automatic approach for the identification of subsurface structural models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-05740-2.pdf
Reference28 articles.
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3. Chevitarese, D.S., Szwarcman, D., Silva, R.M.G., and Brazil, E.V. 2018a. Deep learning applied to seismic facies classification: A methodology for training: EAGE Saint Petersburg International Conference, April 9–12, 2018.
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