导流能力建模方法、基于导流能力模型的排采方法及系统
By employing a conductivity modeling method and iterative optimization algorithm, the comprehensive impact of fracture conductivity under the coupled effects of velocity-pressure sensitivity was addressed, enabling an accurate description of the dynamic variation law of fracture conductivity and an improvement in oil and gas well productivity.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF PETROLEUM (EAST CHINA)
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies fail to fully consider the combined effects of velocity-pressure coupling, resulting in unreasonable production and drainage parameter design, making it difficult to accurately describe the dynamic changes in fracture conductivity and affecting oil and gas well productivity.
The conductivity modeling method was adopted. By preparing multi-scale fractured core samples, multiple sets of experimental condition combinations were obtained. The conductivity value was determined by using a machine learning model. Static conductivity-velocity curves were plotted and segmented to establish a conductivity model. The drainage velocity sequence was optimized by combining iterative optimization algorithms.
It significantly improved the prediction accuracy of hydraulic fracture conductivity, optimized drainage parameters, and increased the production capacity of oil and gas wells.
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Figure CN122174682B_ABST