Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development

Yuntian Chen, Dongxiao Zhang, Qun Zhao +1

An algorithm named InterOpt for optimizing operational parameters is proposed based on interpretable machine learning, and is demonstrated via optimization of shale gas development…