A method for determining a moving front and damage distance and a fracture simulation system
By integrating physical simulation and multi-field monitoring, the carbon dioxide migration front and rock damage are monitored in real time, which solves the spatial mismatch problem between the migration front and the rock damage area in the carbon dioxide pre-fracturing process in the prior art. It realizes quantitative spatiotemporal coupling analysis and provides a scientific basis for optimizing process parameters.
Patent Information
- Application Number
- CN202610648365.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-10
AI Technical Summary
Existing technologies cannot clearly define the spatial mismatch between the migration front and the rock damage area during carbon dioxide pre-fracturing and its main controlling mechanism, leading to a bias in the understanding of the fracturing mechanism and making it difficult to achieve synchronous quantitative monitoring and spatiotemporal coupling analysis of the carbon dioxide migration front and the rock damage boundary.
By integrating physical simulation and multi-field monitoring, the injection device is controlled to simulate carbon dioxide injection, fracturing fluid injection, and well shut-in operations. Combined with nuclear magnetic resonance imaging, pressure sensing, acoustic emission monitoring, and other means, fluid migration and core damage are monitored in real time to determine the carbon dioxide migration front and damage boundary, calculate damage hysteresis data, and achieve quantitative characterization of spatiotemporal coupling relationship.
This study enables in-situ, real-time, and quantitative tracking of carbon dioxide transport fronts and rock damage, solving the problem of asynchronous transport and damage monitoring. It provides quantitative experimental evidence for revealing the transport-damage coupling mechanism and optimizing process parameters.
Smart Images

Figure CN122358997A_ABST
