A method for well leakage early warning by using earthquake prediction results
By performing anisotropic diffusion and three-dimensional multi-level median filtering on seismic data, combined with pre-stack multi-directional frequency attenuation gradient and structural coherence tensor, a high-precision well leakage early warning system was achieved, solving the problem of insufficient well leakage early warning accuracy in existing technologies and guiding well location and drilling design.
Patent Information
- Application Number
- CN202510750602.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-06
- Publication Date
- 2025-11-18
- Estimated Expiration
- 2045-06-06
AI Technical Summary
Existing well leakage early warning technologies are hampered by the poor quality of seismic data and the lack of anisotropic characteristics in post-stack data, making it difficult to achieve high-precision characterization of small fractures and cavities. Furthermore, they do not involve seismic data preprocessing, resulting in insufficient well leakage early warning capabilities.
Anisotropic diffusion and three-dimensional multi-level median joint filtering techniques were used to process post-stack depth domain seismic data. Multi-attribute fusion was performed by combining pre-stack multi-directional frequency attenuation gradients and post-stack structural coherence tensors. The spatial morphology of small fractures and cavities was displayed using shadow relief techniques.
It improves the accuracy of well leakage early warning, enabling more precise characterization of small fractures and cavities, guiding well location design and drilling trajectory optimization, and reducing the risk of well leakage.