Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field-Reference-Cited by-同舟云学术

Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field

Published:2022-06 Issue: Volume:213 Page:110411
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Otchere Daniel Asante^ORCID,Tackie-Otoo Bennet Nii,Mohammad Mohammad Abdalla Ayoub,Ganat Tarek Omar Arbi,Kuvakin Nikita,Miftakhov Ruslan,Efremov Igor,Bazanov Andrey

Funder

Universiti Teknologi Petronas

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

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