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An ensemble of graph generative models for assisted history matching of the Brugge field case
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graph generative modelshistory matchinggeological modelling
2611.12927
Builder Relevance
17h ago70%
Abstract
The paper presents a graph autoencoder approach for history matching in complex geological settings, specifically applied to the Brugge field.
Reality Card
Core Claim
The zone-based formulation of graph generative models effectively preserves geological properties and supports history matching while remaining within the learned geological manifold.
Method / Result
The optimisation search was conducted in a 160-dimensional joint latent space.
Limitations
The paper does not specify the reproducibility of the results across different geological settings or datasets.
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