On the feasibility of using physics-informed machine learning for underground reservoir pressure management

作者：

Highlights：

• A physics-informed machine learning approach is used to manage reservoir pressures.

• A physics model provides theoretical constraints to the machine learning approach.

• Tens of millions of model evaluations may be required for training.

摘要

•A physics-informed machine learning approach is used to manage reservoir pressures.•A physics model provides theoretical constraints to the machine learning approach.•Tens of millions of model evaluations may be required for training.

论文关键词：Physics-informed machine learning,Underground reservoir pressure management,Fluid injection

论文评审过程：Received 4 January 2021, Revised 31 March 2021, Accepted 3 April 2021, Available online 20 April 2021, Version of Record 28 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115006