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Title: Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project

Authors:
; ; ; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1605334
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Cleaner Production
Additional Journal Information:
Journal Name: Journal of Cleaner Production Journal Volume: 260 Journal Issue: C; Journal ID: ISSN 0959-6526
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

You, Junyu, Ampomah, William, Sun, Qian, Kutsienyo, Eusebius Junior, Balch, Robert Scott, Dai, Zhenxue, Cather, Martha, and Zhang, Xiaoying. Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project. United Kingdom: N. p., 2020. Web. https://doi.org/10.1016/j.jclepro.2020.120866.
You, Junyu, Ampomah, William, Sun, Qian, Kutsienyo, Eusebius Junior, Balch, Robert Scott, Dai, Zhenxue, Cather, Martha, & Zhang, Xiaoying. Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project. United Kingdom. https://doi.org/10.1016/j.jclepro.2020.120866
You, Junyu, Ampomah, William, Sun, Qian, Kutsienyo, Eusebius Junior, Balch, Robert Scott, Dai, Zhenxue, Cather, Martha, and Zhang, Xiaoying. Wed . "Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project". United Kingdom. https://doi.org/10.1016/j.jclepro.2020.120866.
@article{osti_1605334,
title = {Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project},
author = {You, Junyu and Ampomah, William and Sun, Qian and Kutsienyo, Eusebius Junior and Balch, Robert Scott and Dai, Zhenxue and Cather, Martha and Zhang, Xiaoying},
abstractNote = {},
doi = {10.1016/j.jclepro.2020.120866},
journal = {Journal of Cleaner Production},
number = C,
volume = 260,
place = {United Kingdom},
year = {2020},
month = {7}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.jclepro.2020.120866

Citation Metrics:
Cited by: 1 work
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