Real-time steam allocation workflow using machine learning for digital heavy oil reservoirs-Reference-Cited by-同舟云学术

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Real-time steam allocation workflow using machine learning for digital heavy oil reservoirs

Published:2021-04 Issue: Volume:199 Page:108168
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Sibaweihi Najmudeen^ORCID,Patel Rajan G.,Guevara Jose L.,Gates Ian D.^ORCID,Trivedi Japan J.

Funder

Canada First Research Excellence Fund

University of Alberta

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference36 articles.

1. STARS User Guide (Version 2018.10),2018

2. Calibrating a semi-analytic SAGD forecasting model to 3D heterogeneous reservoir simulations;Dehdari,2017

3. Senlac, the forgotten SAGD project;Delamaide,2017

4. Economic optimum operating pressure for SAGD projects in Alberta;Edmunds;J. Can. Petrol. Technol.,2001

5. Production optimization; system identification and uncertainty estimation;Elgsaeter,2008

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2. Steam allocation for SAGD: Multi-pad multi-criteria short and long-term real-time performance management;Geoenergy Science and Engineering;2023-09

3. Learning Design Innovation Based on Tri N and STEAM in Developing 21st Century Skills for Elementary School Students;Jurnal Ilmiah Sekolah Dasar;2023-06-17

4. Actor-critic reinforcement learning leads decision-making in energy systems optimization—steam injection optimization;Neural Computing and Applications;2023-04-27

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