A machine‐learning framework to estimate saturation changes from 4D seismic data using reservoir models-Reference-Cited by-同舟云学术

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A machine‐learning framework to estimate saturation changes from 4D seismic data using reservoir models

Published:2022-08-09 Issue:8 Volume:70 Page:1388-1409
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Maleki Masoud¹^ORCID,Cirne Marcos²^ORCID,Schiozer Denis José³,Davolio Alessandra¹^ORCID,Rocha Anderson²

Affiliation:

1. Center for Petroleum Studies (CEPETRO) University of Campinas Campinas SP 13083‐896 Brazil

2. Artificial Intelligence Lab. (Recod.ai), Institute of Computing University of Campinas Campinas SP 13083‐852 Brazil

3. School of Mechanical Engineering University of Campinas Campinas SP 13083‐860 Brazil

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.13249

Reference37 articles.

1. Arumugam D. Lee J.K. Saskin S.&Littman M.L.(2019)Deep reinforcement learning from policy‐dependent human feedback.arXiv preprint arXiv:1902.04257.

2. Simultaneous History-Matching Approach by Use of Reservoir-Characterization and Reservoir-Simulation Studies

3. A survey on active learning and human-in-the-loop deep learning for medical image analysis

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1. Inference of relative permeability curves in reservoir rocks with ensemble Kalman method;The European Physical Journal E;2023-06

2. Development of Textbook Based on Character Using Multimedia to Improve Critical Thinking Skills for Elementary School Students;Studies in Learning and Teaching;2023-04-30

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