A growing machine learning approach to optimize use of prestack and poststack seismic data
Autor: | Bruno de Ribet, Kamal Hami-Eddine, Patrick Durand, Patxi Gascue |
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Rok vydání: | 2017 |
Předmět: |
Engineering
Artificial neural network business.industry 020206 networking & telecommunications 02 engineering and technology Prestack 010502 geochemistry & geophysics computer.software_genre Machine learning 01 natural sciences 0202 electrical engineering electronic engineering information engineering Data mining Artificial intelligence business computer 0105 earth and related environmental sciences |
Zdroj: | SEG Technical Program Expanded Abstracts 2017. |
DOI: | 10.1190/segam2017-17767532.1 |
Databáze: | OpenAIRE |
Externí odkaz: |