岩石物理模板的构建、泥页岩分布范围预测方法及装置
By constructing a physical model of dual-pore argillaceous carbonate rocks and determining sensitive elastic parameters, the problem of predicting shear wave velocity in carbonate rocks was solved, enabling accurate prediction of complex pore structures and lithological carbonate reservoirs, and improving the prediction accuracy of shale distribution range.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PETROCHINA CO LTD
- Filing Date
- 2021-12-31
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional physical models for carbonate rocks have limitations in predicting shear wave velocities, especially due to the difficulty in prediction caused by the complexity of pore structure and lithology. Existing models cannot accurately describe the relationship between pore shape and elastic parameters.
A dual-pore mudstone carbonate rock physical model was constructed. By statistically analyzing mineral and fluid parameters, sensitive elastic parameters were determined. A precise carbonate rock physical template was made, and pre-stack simultaneous inversion was performed using pre-stack data to obtain an elastic parameter profile to quantitatively interpret the distribution range of mudstone and shale.
It improves the prediction accuracy of complex pore structures and lithological carbonate reservoirs, especially the prediction accuracy of the distribution range of mudstone and shale in deep argillaceous carbonate reservoirs.
Smart Images
Figure CN116413797B_ABST