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. doi: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 = {Wed Jul 01 00:00:00 EDT 2020},
month = {Wed Jul 01 00:00:00 EDT 2020}
}
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https://doi.org/10.1016/j.jclepro.2020.120866
https://doi.org/10.1016/j.jclepro.2020.120866
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Cited by: 27 works
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