Optimization of Operation Parameters for Helical Flow Cleanout with Supercritical CO₂ in Horizontal Wells Using Back-Propagation Artificial Neural Network

• Xianzhi Song ,

  * E-mail: songxz@cup.edu.cn

  Current address: College of Petroleum Engineering, China University of Petroleum-Beijing, Changping, Beijing, China

  Affiliation State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum-Beijing, Changping, Beijing, China

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• Chi Peng,

  Current address: College of Petroleum Engineering, China University of Petroleum-Beijing, Changping, Beijing, China

  Affiliation State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum-Beijing, Changping, Beijing, China

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• Gensheng Li,

  Current address: College of Petroleum Engineering, China University of Petroleum-Beijing, Changping, Beijing, China

  Affiliation State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum-Beijing, Changping, Beijing, China

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• Zhenguo He ,

  Contributed equally to this work with: Zhenguo He, Haizhu Wang

  Current address: College of Petroleum Engineering, China University of Petroleum-Beijing, Changping, Beijing, China

  Affiliation College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing, China

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• Haizhu Wang

  Contributed equally to this work with: Zhenguo He, Haizhu Wang

  Current address: College of Petroleum Engineering, China University of Petroleum-Beijing, Changping, Beijing, China

  Affiliation College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing, China

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