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Data-driven multi-objective optimization design method for shale gas fracturing parameters

  • Published:2022-03 Issue: Volume:99 Page:104420
  • ISSN:1875-5100
  • Container-title:Journal of Natural Gas Science and Engineering
  • language:en
  • Short-container-title:Journal of Natural Gas Science and Engineering

Author:

Wang LianORCID,Yao Yuedong,Wang Kongjie,Adenutsi Caspar Daniel,Zhao Guoxiang,Lai Fengpeng

Funder

National Key Research and Development Program of China

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference87 articles.

1. Immediate gas production from shale gas wells: a two phase flowback model;Adefidipe,2014

2. Machine-learning algorithm for estimating oil-recovery factor using a combination of engineering and strati-graphic dependent parameters;Aliyuda;Interpretation,2019

3. Using artificial neural nets to identify the well-test interpretation model;Al-Kaabi;SPE Form. Eval.,1993

4. New advances in shale reservoir analysis using flowback data;Alkouh,2013

5. Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines;Anifowose;Appl. Soft Comput.,2015
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