Method and system for predicting sand shale reservoir with few well areas and multiple sedimentary facies zones
By preprocessing and lithological sensitivity analysis of seismic exploration data, and combining pseudo-well and actual drilling data for modeling, a low-frequency model was constructed and the inversion results were optimized. This solved the problem of low prediction accuracy of sandstone and mudstone reservoirs in areas with few wells, and achieved high-precision prediction of sandstone and mudstone reservoirs.
Patent Information
- Application Number
- CN202610335692.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-19
- Publication Date
- 2026-06-05
AI Technical Summary
In areas with few wells, existing technologies struggle to effectively utilize seismic attribute information to construct low-frequency models that adapt to the characteristics of multiple sedimentary facies zones, leading to a decrease in the accuracy of sandstone and mudstone reservoir predictions. This is particularly true in areas with dramatic changes in sedimentary facies zones, where the predicted results deviate significantly from the actual geological conditions.
By preprocessing seismic exploration data, extracting seismic attribute volumes and performing lithological sensitivity analysis, constructing core attribute volumes, and combining pseudo-well and actual drilling data to build a low-frequency model, and optimizing the inversion results through iterative inversion, high-precision prediction of sandstone and mudstone reservoirs can be achieved.
It significantly improves the accuracy of sandstone and mudstone reservoir prediction, effectively reflects the lateral variation of sedimentary facies zones under conditions with few wells, and provides reliable geological evidence to support oil and gas exploration and development.