Device and method for monitoring oil theft and leakage of optical cable in oil pipeline

Abstract

The invention discloses a device and method for monitoring oil theft and leakage of an optical cable in an oil pipeline, belonging to the fields of oil and gas storage and transportation and optical fiber sensing. Based on the principle of optical fiber vibration distribution testing technology, the present invention lays optical cables in the oil pipeline, and combines the event analysis algorithm for the vibration distribution data and temperature distribution data of the optical cables in the pipeline, which can not only avoid the damage of monitoring optical cables by criminals, but also can dig pipelines by criminals. 1. When drilling the pipeline, through the analysis of the vibration distribution data inside the monitoring oil pipeline, combined with the difference between the vibration data at this time and the characteristics of the vibration data inside the pipeline at ordinary times, timely early warning of oil theft incidents can be carried out, and oil and gas leakage in the pipeline can also be detected. When the pipeline leaks, through the analysis and early warning of the vibration changes and the temperature distribution data changes of the oil pipeline, the leak point can be found in time and disposed of in time to avoid and reduce the losses caused by subsequent environmental pollution problems caused by oil and gas leakage.

Description

technical field [0001] The invention belongs to the fields of oil and gas storage and transportation and optical fiber sensing, and in particular relates to a device and method for monitoring oil theft and leakage of optical cables in an oil pipeline. Background technique [0002] In the oil and gas field, the condition monitoring of oil pipelines has always been one of the difficulties. As the oil and gas field has higher and higher requirements for intelligence, traditional anti-theft oil technology and leakage monitoring technology are increasingly difficult to meet the intelligent requirements of oil and gas pipelines. demand. [0003] Traditional oil pipeline anti-theft oil mostly adopts technologies such as manual inspection, video surveillance, drone patrol, negative pressure wave, optical fiber vibration monitoring, etc. Manual inspection technology mostly relies on the experience of inspectors, and cannot maintain the inspection status in real time; video surveillan...

AI Technical Summary

Problems solved by technology

[0002] In the oil and gas field, the status monitoring of oil pipelines has always been one of the difficulties. As the oil and gas field has higher and higher requirements for intelligence, traditional anti-theft oil technology and leakage monitoring technology are becoming more and more difficult to meet the intelligence of oil and gas pipelines. demand

[0003] Traditional oil pipeline anti-theft oil mostly uses technologies such as manual inspection, video surveillance, drone patrol, negative pressure wave, and optical fiber vibration monitoring. Monitor the area where the camera is deployed, and cannot monitor the complex environment covered by woods, grass and houses; UAV patrol cannot continue to monitor 24 hours, and it is prone to missing inspection periods; negative pressure wave technology can achieve 24 hours Continuous monitoring, but It is not sensitive enough for small flow oil theft and it is difficult to detect it in time; the optical fiber vibration monitoring technology lays out the sensor optical cable outside the oil and gas pipeline, and sends an alarm by sensing the cable vibration during excavation, which can realize 24-hour continuous monitoring, but the optical cable outside the pipe is easy to be deliberately Destruction, after multiple sabotages, the program will not work as expected

At the same time, for oil pipeline leakage monitoring, the traditional technology can only find problems through the change of oil flow rate. This solution is not sensitive to small flow changes, it is difficult to find problems, and it is also impossible to locate the leak point

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