A method and apparatus for predicting parameters of subsurface geological structures
By combining a small, controllable seismic source vehicle with the indirect boundary element method and a multi-strategy differential evolution algorithm, the problem of accuracy and efficiency in geological structure inversion in 3D tunnel advance prediction was solved, and efficient prediction of underground geological structure parameters was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN CHENGJIAN UNIV
- Filing Date
- 2026-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, three-dimensional forward modeling methods are difficult to accurately invert geological structures with large curvature variations. Traditional metaheuristic algorithms are prone to premature convergence or getting trapped in local optima during parameter updates, resulting in low accuracy and long iteration times for geological structure inversion. Seismic wave inversion methods ignore scattering effects, reducing the accuracy of prediction results.
A small, controllable seismic source vehicle is used to flexibly adjust the detection accuracy and depth. Seismic wave forward modeling is performed using the indirect boundary element method. Parameters are optimized using a multi-strategy differential evolution algorithm. Global search capability is improved and premature convergence probability is reduced through dynamic mirror learning of SPM chaotic mapping and Spearman correlation coefficient.
It significantly improves the accuracy and efficiency of parameter inversion for 3D tunnel advance prediction, can quickly identify hidden adverse geological structures in complex sites, and reduces computing costs and memory usage.
Smart Images
Figure CN122410596A_ABST