Automated well log depth matching: Late fusion multimodal deep learning

Author:

Torres Caceres Veronica Alejandra1ORCID,Duffaut Kenneth1ORCID,Yazidi Anis2,Westad Frank3,Johansen Yngve Bolstad4

Affiliation:

1. Department of Geosciences and Petroleum Norwegian University of Sciences and Technology S.P. Andersens veg 15a Trondheim 7031 Norway

2. Department of Computer Science Norwegian University of Sciences and Technology Sem Sælands vei 9 Trondheim 7034 Norway

3. Department of Engineering Cybernetics Norwegian University of Sciences and Technology O. S. Bragstads Plass 2D Trondheim 7034 Norway

4. AkerBP ASA Munkegata 26 Trondheim 7011 Norway

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Reference47 articles.

1. End-to-end environmental sound classification using a 1D convolutional neural network

2. Arundo Analytics Inc. Revision 8d539c82.. (2020)tsaug documentation: Examples of augmenters. Available at:https://tsaug.readthedocs.io/en/stable/notebook/Examples%20of%20augmenters.html[Accessed 20 April 2021].

3. Multimodal Machine Learning: A Survey and Taxonomy

4. Wireline logging depth quality improvement: methodology review and elastic‐stretch correction;Bolt H.;Petrophysics,2016

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