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Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. (arXiv:2103.02598v3 [cs.LG] UPDATED)
cs.LG updates on arXiv.org arxiv.org
The paper describes the usage of intelligent approaches for field development
tasks that may assist a decision-making process. We focused on the problem of
wells location optimization and two tasks within it: improving the quality of
oil production estimation and estimation of reservoir characteristics for
appropriate wells allocation and parametrization, using machine learning
methods. For oil production estimation, we implemented and investigated the
quality of forecasting models: physics-based, pure data-driven, and hybrid one.
The CRMIP model was chosen as a …
arxiv automated machine learning case study development hybrid learning machine machine learning study