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Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering
The work focuses on the modelling and imputation of oil and gas reservoirs parameters, specifically, the problem of predicting the oil recovery factor (RF) using Bayesian networks (BNs).
Data-driven PDE discovery with evolutionary approach
The data-driven models allow one to define the model structure in cases when a priori information is not sufficient to build other types of models.
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