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

no code implementations • 20 Jun 2022 • Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu

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

BIG-bench Machine Learning Interpretable Machine Learning