Fractured reservoir injection-production parameter optimization method based on reduced-order model retraining

By combining Petrove-Galerkin projection and intrinsic orthogonal decomposition-trajectory piecewise linearization with primary and secondary training simulations, and dynamically updating the reduced-order model, the problems of long simulation time and insufficient stability in the optimization of injection and production parameters in fractured reservoirs are solved, and efficient and accurate parameter optimization is achieved.

CN122154574APending Publication Date: 2026-06-05CHINA UNIV OF PETROLEUM (EAST CHINA)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNIV OF PETROLEUM (EAST CHINA)
Filing Date
2026-05-09
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In the optimization of injection and production parameters in existing fractured reservoirs, full-order numerical simulation is time-consuming, and the stability of reduced-order models is insufficient, making it difficult to achieve efficient optimization.

Method used

The Petrove-Galerkin projection method and the intrinsic orthogonal decomposition-trajectory piecewise linearization POD-TPWL method are adopted, combined with the dynamic update design of primary and secondary training simulations, to achieve dynamic correction and progressive improvement through retraining of the reduced-order model.

Benefits of technology

It significantly improved the accuracy and stability of the reduced-order model, shortened the simulation time, improved the efficiency and accuracy of injection and production parameter optimization, ensured the reliability of the optimal parameters, improved the recovery rate and reduced the development cost.

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Abstract

The application discloses a kind of based on reduced-order model retraining's fractured reservoir injection-production parameter optimization method, it is related to unconventional oil and gas development technical field, including: establishing fractured reservoir full-order numerical simulation model, setting initial injection-production control parameter, running main, vice training simulation;Snapshot matrix is executed singular value decomposition, and reduced-order basis matrix is constructed;Snapshot matrix and the gradient information of main training simulation are executed reduced-order preprocessing, and reduced-order model is constructed;Based on reduced-order model, injection-production parameter optimization iteration is executed and is dynamically judged, until cumulative adjustment step is not more than pre-set allowable value and has reached pre-set maximum iteration step number, then with current optimal injection-production parameter operation verification, output optimal injection-production parameter and objective function value, otherwise using current optimal injection-production parameter updates main training simulation and retraining reduced-order model.The application is through simulation, reduced-order, optimization, update closed loop process, ensure accuracy while greatly improving the calculation efficiency of fractured reservoir production optimization.
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