Gaussian Processes for history-matching: application to an unconventional gas reservoir
By Hamidreza Hamdi, Ivo Couckuyt, Mario Costa Sousa, Tom D'haene. Computational Geosciences, 2017
47 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Mechanical Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/43187628f212dad0ba35f35dbdc74b5e8fcf05fc
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Citations in the corpus
- A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems (2019, methodology): “[8] applied a Gaussian process for the surrogate modeling of a 20-parameter unconventional-gas reservoir system in the context of history matching.”