Leakage monitoring device and method for crude oil gathering pipelines

Abstract

The invention relates to a leakage monitoring device and method for crude oil gathering pipelines. The device comprises a plurality of distributed processing terminals, a central receiver and a central controller. Two distributed processing terminals are mounted on each pipeline and at an initial station exit and a terminal station entry respectively. The distributed processing terminals are used for data collection, processing, transmitting, pressure anomaly judging and suspected leakage judging. The central receiver is used for processing communication tasks between the central controller and the distributed processing terminals. The central controller is used for determining and warning suspected leakage. The leakage monitoring device has the advantages that suspected leakage judging tasks are processed in the distributed processing terminals in real time, related data are transmitted to the central controller only after the suspected leakage is found, the amount of wireless transmission data is greatly reduced, data communication quality is improved, the amount of data to be processed by the central controller is greatly reduced, a leakage determination algorithm is simple, load of the central controller is lowered, and operational stability of the central controller is improved.

Description

technical field [0001] The invention belongs to the field of oil and gas storage and transportation, and in particular relates to a leakage monitoring device and a monitoring method for crude oil gathering and transportation pipelines. Background technique [0002] The pipeline that collects and transports crude oil from each processing station in the oil field to the oil depot is called the gathering pipeline. The gathering pipeline transports high-purity crude oil and is widely distributed in the oil field. Pipeline leaks caused by various factors occur from time to time, and once crude oil leaks, it often brings serious consequences. If real-time monitoring is carried out on the pipeline, the leakage can be found quickly and accurately and the location of the leakage point can be judged, and measures can be taken to deal with it in time to minimize the loss, so it is of great significance. [0003] Several representative online pipeline leakage monitoring methods are: ma...

AI Technical Summary

Problems solved by technology

[0008] (1) Low data transmission quality

The length of crude oil gathering and transportation pipelines is generally between 3 and 20 kilometers, and the degree of automation is low in the early construction period. There are few ready-made SCADA systems or high-speed local area networks at the first and last stations for communication. From the perspective of cost, pipeline leakage monitoring in later construction The system can only use the communication method of radio stations; since the crude oil pipeline leakage monitoring system needs to be operated online, the real-time data transmission volume is huge, and it is affected by external factors such as weather, which often leads to data requests and sending tasks that cannot be completed within the specified time. cause data loss

[0009] (2), the operation of the central control machine is unstable

There are multiple gathering and transportation pipelines that converge to the same oil depot, and the existing leakage monitoring system is a centralized online processing system. The central control machine needs to request data from multiple remote pipeline terminals in sequence within a certain time slice and complete compression, Storage, processing and other tasks, these tasks are serial tasks, once there is a delay in a certain link, it may affect the execution of the next time slice task, causing the system to crash

In practical applications, it is found that in addition to data communication tasks, data storage tasks and complex leakage judgment and processing tasks will occupy a large amount of computer resources and easily cause time delays. Therefore, the central control computer of this centralized real-time processing system has a large unstable

[0010] (3), leakage monitoring false alarm rate is high

Existing inventions and technologies often use methods with high algorithm complexity to eliminate the influence of pump and valve operations. In fact, due to different conditions such as pipeline conditions, leakage point locations, and leakage volumes, the negative pressure waveforms generated by pipeline leakage are often If only judged from the perspective of pressure, it is difficult to rule out the influence of the operation of pumps and valves, so the false alarm rate of leakage monitoring is high

[0011] The above shortcomings directly affect the performance and indicators of the negative pressure wave leakage monitoring system, and reduce the effectiveness of the pipeline safety operation guarantee work

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