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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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Cite this as

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

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Additional Info

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