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

doi:10.1016/j.ijggc.2017.11.004

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

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Abstract

Not provided.

Authors:: Li, Ben; Zhou, Fujian; Li, Hui; Duguid, Andrew; Que, Liyong; Xue, Yanpeng; Tan, Yanxin

Publication Date:: 2018-01-01

Research Org.:: Univ. of Louisville at Lafayette, Lafayette, KY (United States)

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

OSTI Identifier:: 1538335

DOE Contract Number:: FE0009284

Resource Type:: Journal Article

Journal Name:: International Journal of Greenhouse Gas Control

Additional Journal Information:: Journal Volume: 68; Journal Issue: C; Journal ID: ISSN 1750-5836

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: Science & Technology - Other Topics; Energy & Fuels; Engineering

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.  United States: N. p., 2018. 
        Web.  doi:10.1016/j.ijggc.2017.11.004.

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                    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.  United States.  doi:10.1016/j.ijggc.2017.11.004.

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                    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".  United States.  doi:10.1016/j.ijggc.2017.11.004.

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@article{osti_1538335,

  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 = {Not provided.},

  doi          = {10.1016/j.ijggc.2017.11.004},

  journal      = {International Journal of Greenhouse Gas Control},

  issn         = {1750-5836},

  number       = C,

  volume       = 68,

  place        = {United States},

  year         = {2018},

  month        = {1}

}

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DOI: 10.1016/j.ijggc.2017.11.004

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