Optimization of fracturing parameters with machine-learning and evolutionary algorithm methods

HIGHLIGHTS

  • who: Zhenzhen Dong et al. from the Petroleum Engineering Department, Xi'an Shiyou University, Xi'an, China have published the research work: Optimization of Fracturing Parameters with Machine-Learning and Evolutionary Algorithm Methods, in the Journal: Energies 2022, 6063 of /2022/
  • what: This study proposed a novel approach combining a data-driven model with evolutionary optimization algorithms to optimize fracturing parameters. To achieve this aim, the study has the following objectives: predict time series tight oil production by developing and comparing four different machine-learning-based production-prediction models; and_(2) present a novel hybrid . . .

     

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