Multi-domain thermo-hydro-mechanical coupling simulation prediction method and system for thermal recovery of shale gas reservoirs

By constructing a multi-domain thermo-fluid-solid coupled numerical model and a mechanism-data driven prediction model, the problems of large computational load and slow iteration in shale gas reservoir simulation methods are solved. This enables refined characterization and efficient prediction of multi-physics interaction processes in shale gas reservoirs, supporting the optimization of thermal production enhancement parameters and adjustment of development strategies.

CN121598809BActive Publication Date: 2026-06-05SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG UNIV
Filing Date
2026-01-29
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies are insufficient to achieve economically recoverable production in shale gas reservoirs, and existing simulation methods suffer from high computational complexity and slow iterative convergence under multi-physics coupling, making it difficult to meet the needs of real-time prediction and optimization decision-making.

Method used

A multi-domain thermo-fluid-structure interaction numerical model is constructed, which combines a mechanistic model with a data-driven prediction model. Multi-physics features are extracted through convolutional neural networks and long short-term memory networks to establish a rapid mapping relationship, thereby achieving refined characterization and efficient prediction of the thermal recovery process of shale gas reservoirs.

Benefits of technology

It significantly improves the simulation accuracy and prediction efficiency of multiphysics interaction processes in shale gas reservoirs, enabling rapid assessment of the impact of thermal injection on gas desorption, seepage, and fracture conductivity. It supports the optimization of thermal enhancement parameters and the adjustment of development strategies, thereby improving recovery rate and economic benefits.

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Abstract

The present application belongs to the technical field of thermal fluid-solid coupling simulation, and provides a multi-domain thermal fluid-solid coupling simulation prediction method and system for thermal recovery of shale gas reservoirs, comprising: obtaining a shale reservoir model; constructing a thermal fluid-solid coupling numerical model considering multiple nonlinear physical action mechanisms based on the obtained shale reservoir model; solving the thermal recovery process of the shale gas reservoir according to the constructed thermal fluid-solid coupling numerical model to obtain multi-domain dynamic evolution results; and performing prediction optimization of the gas production behavior of the shale gas reservoir according to the obtained multi-domain dynamic evolution results and a preset double-drive prediction model to complete the multi-domain thermal fluid-solid coupling simulation prediction for the thermal recovery of the shale gas reservoir.
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