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Title: Prediction of CO2 leakage risk for wells in carbon sequestration fields with an optimal artificial neural network

Authors:
; ; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1548968
Grant/Contract Number:  
DE FE0009284; 2016ZX05051; 2017ZX05030
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
International Journal of Greenhouse Gas Control
Additional Journal Information:
Journal Name: International Journal of Greenhouse Gas Control Journal Volume: 68 Journal Issue: C; Journal ID: ISSN 1750-5836
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Li, Ben, Zhou, Fujian, Li, Hui, Duguid, Andrew, Que, Liyong, Xue, Yanpeng, and Tan, Yanxin. Prediction of CO2 leakage risk for wells in carbon sequestration fields with an optimal artificial neural network. Netherlands: N. p., 2018. Web. doi:10.1016/j.ijggc.2017.11.004.
Li, Ben, Zhou, Fujian, Li, Hui, Duguid, Andrew, Que, Liyong, Xue, Yanpeng, & Tan, Yanxin. Prediction of CO2 leakage risk for wells in carbon sequestration fields with an optimal artificial neural network. Netherlands. doi:10.1016/j.ijggc.2017.11.004.
Li, Ben, Zhou, Fujian, Li, Hui, Duguid, Andrew, Que, Liyong, Xue, Yanpeng, and Tan, Yanxin. Mon . "Prediction of CO2 leakage risk for wells in carbon sequestration fields with an optimal artificial neural network". Netherlands. doi:10.1016/j.ijggc.2017.11.004.
@article{osti_1548968,
title = {Prediction of CO2 leakage risk for wells in carbon sequestration fields with an optimal artificial neural network},
author = {Li, Ben and Zhou, Fujian and Li, Hui and Duguid, Andrew and Que, Liyong and Xue, Yanpeng and Tan, Yanxin},
abstractNote = {},
doi = {10.1016/j.ijggc.2017.11.004},
journal = {International Journal of Greenhouse Gas Control},
number = C,
volume = 68,
place = {Netherlands},
year = {2018},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.ijggc.2017.11.004

Citation Metrics:
Cited by: 5 works
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