Deep neural network application for 4D seismic inversion to changes in pressure and saturation: Optimizing the use of synthetic training datasets-Reference-Cited by-同舟云学术

Deep neural network application for 4D seismic inversion to changes in pressure and saturation: Optimizing the use of synthetic training datasets

Published:2020-06-15 Issue:7 Volume:68 Page:2164-2185
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Côrte Gustavo¹^ORCID,Dramsch Jesper²^ORCID,Amini Hamed¹^ORCID,MacBeth Colin¹^ORCID

Affiliation:

1. Heriot‐Watt University Edinburgh EH14 4AS UK

2. Technical University of Denmark Copenhagen Denmark

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12982

Reference37 articles.

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3. Amini H.(2018)Comparison of Xu‐White simplified Xu‐White (Keys and Xu) and Nur ’s critical porosity in shaley sands. 80th EAGE Annual meeting Copenhagen Denmark Extended Abstracts We A11 08.

4. Amini H.andMacBeth C.(2015)Calibration of rock stress‐sensitivity using 4D seismic data. 77th EAGE Annual meeting Madrid Spain Extended Abstracts We A11 08.

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