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Vol.1 (2025) Iss. 1

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Abstract
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References
Review

Review of Reservoir Closed-Loop Optimization Control Methods

Deng Liu*

1 PetroChina Tarim Oilfield Company, Korla, 842209, China
* Correspondence: Deng Liu
 
AESIG, 2025, 1(1), 54-65;

Funding

This research was no funding provided.

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Abstract
 
This paper presents a review of reservoir closed-loop optimization management technology, with a particular focus on its core software component—reservoir closed-loop optimization control technology. This technology constitutes a closed-loop process encompassing two fundamental steps: automatic history matching and production optimization. History matching involves refining model parameters to align numerical models with actual production dynamics. Subsequently, production optimization is performed based on the updated model. The goal is to maximize economic benefits or cumulative oil production by automatically identifying the optimal injection-production scheme. The mainstream methods in both areas can be categorized into gradient-based and gradient-free algorithms. Gradient-based algorithms offer fast convergence but are complex to implement and difficult to integrate with commercial simulators. In contrast, gradient-free algorithms provide greater versatility but may face challenges in computational efficiency or convergence accuracy. In recent years, to overcome the high computational cost associated with traditional numerical simulations, surrogate modeling techniques have emerged as a significant research focus. These techniques accelerate the optimization cycle by approximating the simulation process.
 
Keywords: Meshless method; Reservoir numerical simulation; Generalized finite difference method; Fluid-solid coupling; Numerical algorithm

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