Intelligent mixing method and system for polymer fracturing fluid powder
By using multi-scale time-delay cross-correlation analysis and causal structure discovery, a dynamic matching structure that remains unchanged across environments was constructed. This solved the problem of insufficient causal relationship mining in traditional methods, and enabled intelligent mixing control of polymer fracturing fluid powder, thereby improving construction quality and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional polymer fracturing fluid powder mixing methods rely on manual experience or black box models, lacking causal relationship mining. This results in poor model interpretability, difficulty in stable generalization under different water qualities and powder batches, high construction anomaly rate, and difficulty in ensuring the consistency of fracturing fluid quality.
By conducting multi-scale time-delay cross-correlation analysis and causal structure discovery, a dynamic matching structure that remains unchanged across environments is constructed. Simulation parameters are generated by combining physical laws, and a flow field and performance prediction model is established to achieve intelligent mixing control.
It significantly reduces the rate of construction anomalies, improves the consistency of fracturing fluid quality and field adaptability, reduces the cost of single-well operations, and enhances the migration stability of the model under different mineralization and powder batches.
Smart Images
Figure CN122399655A_ABST