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Deep-learning-based surrogate model for reservoir simulation with time-varying well controls

  • Published:2020-09 Issue: Volume:192 Page:107273
  • ISSN:0920-4105
  • Container-title:Journal of Petroleum Science and Engineering
  • language:en
  • Short-container-title:Journal of Petroleum Science and Engineering

Author:

Jin Zhaoyang Larry,Liu Yimin,Durlofsky Louis J.

Funder

Stanford University Smart Fields Consortium

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference58 articles.

1. TensorFlow: large-scale machine learning on heterogeneous systems;Abadi,2015

2. Nonlinear model order reduction based on local reduced-order bases;Amsallem;Internat. J. Numer. Methods Engrg.,2012

3. History matching geological facies models based on ensemble smoother and deep generative models;Canchumuni;J. Pet. Sci. Eng.,2019

4. Linearized reduced-order models for subsurface flow simulation;Cardoso;J. Comput. Phys.,2010

5. Efficient non-linear model reduction via a least-squares Petrov–Galerkin projection and compressive tensor approximations;Carlberg;Internat. J. Numer. Methods Engrg.,2011
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