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This is a Quantitative Study study (also classified as: Experimental Study).

September 17, 2025

An Optimization Framework for Automatic History Matching of Aquifer Drive Reservoir with Geological and Geostatistical Data Integration

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This framework integrates geological models and production data to enhance history matching accuracy, suggesting better reservoir simulations.

The proposed framework effectively reduces uncertainties in reservoir parameters while preserving geological integrity.
Key innovations include nonlinear diffusion strategies that maintain sharp geological features like faults and facies boundaries.
By integrating geostatistical constraints, the framework ensures consistency with spatial priors during history matching.
Iteratively updating parameters within a reaction–diffusion formulation improves convergence stability over long production periods.

Zhenhua Wu (2025) studied this question.

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This framework integrates geological models and production data to enhance history matching accuracy, suggesting better reservoir simulations.