油田集输过程上游站温度、压力动态智能推荐与控制方法
By configuring information modules, data acquisition modules, stable data extraction modules, temperature and pressure drop mechanism model modules, temperature and pressure drop regression recommendation model modules, model fusion modules, and automation control modules, and combining machine learning and PID control algorithms, the problem of the inability to dynamically and intelligently recommend and automatically control the outlet temperature and pressure of upstream stations during oilfield gathering and transportation has been solved. This has enabled automated and intelligent control of the oilfield gathering and transportation process, avoiding energy waste, ensuring crude oil liquidity, and reducing manual workload.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN JIAYUNTONG ELECTRONICS
- Filing Date
- 2024-01-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot dynamically and intelligently recommend and automatically control the outlet temperature and pressure of upstream stations during oilfield gathering and transportation based on actual operating conditions, leading to energy waste and liquidity problems.
By configuring information modules, data acquisition modules, stable data extraction modules, temperature and pressure drop mechanism model modules, temperature and pressure drop regression recommendation model modules, model fusion modules, and automatic control modules, and combining machine learning and PID control algorithms, the system dynamically recommends and automatically controls the outlet temperature and outlet pressure of upstream stations.
It has achieved automated and intelligent control of the oilfield gathering and transportation process, avoiding energy waste, ensuring crude oil flow, and reducing manual workload.
Smart Images
Figure CN117891296B_ABST