Hybrid convolution-recurrent neural network surrogate model for geothermal reservoir production

A hybrid convolution-recurrent neural network surrogate model was constructed to approximate the relationship between permeability fields, well control sequences, and production data.

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Nanzhe Wanga, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang (2024). Dataset: Hybrid convolution-recurrent neural network surrogate model for geothermal reservoir production. https://doi.org/10.57702/nq9a9p5n

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2204.08987
Author Nanzhe Wanga
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Haibin Chang
Xiangzhao Kong
Martin O. Saar
Dongxiao Zhang