Leakage detection method for large complex natural gas pipeline network system

A natural gas pipeline network and leak detection technology, which is applied in the field of leakage detection of large and complex natural gas pipeline network systems, can solve the problems of theoretical research and technical development work limitations, and high difficulty in theoretical research and application development.

Active Publication Date: 2017-06-13
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

However, in China, its theoretical research and technical development work is relatively limited. Due to the high difficulty of theo

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  • Leakage detection method for large complex natural gas pipeline network system
  • Leakage detection method for large complex natural gas pipeline network system
  • Leakage detection method for large complex natural gas pipeline network system

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Embodiment Construction

[0027] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0028] A method for detecting leaks in a large and complex natural gas pipeline network system, comprising the following steps:

[0029] Step 1, static simulation, image 3 That is, the simulation model of the Yuji pipeline network is established. The model consists of 55 nodes and 54 pipelines, including a compressor station and a pressure regulating device. According to the assumption and relationship of steady flow, considering the static flow characteristics of the pipe network, the corresponding static analysis model of each component is obtained; then, using the mass conservation relationship of the system and each station, a nonlinear algebraic equation system is established with the station pressure as the unknown quantity ; The dimension of the final equation system of the Yuji line is 294 dimensions. Finally, the quasi-Newton method i...

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Abstract

The invention discloses a leakage detection method for a large complex natural gas pipeline network system. The method comprises the steps of 1, performing static simulation to obtain a pressure along a line, flow and initial distribution of temperature in a pipeline; 2, performing online simulation to obtain a pressure along the line, flow and real-time distribution of temperature in the pipeline; 3, performing parameter learning, and proposing a pipeline transient flow state space model-based pipeline parameter real-time online estimation and learning model based on an implicit method and characteristic line method-based gas pipeline dynamic simulation state space model according to a sensitivity analysis theory; and 4, performing leakage detection, calculating a deviation between a simulated pressure and an actually measured pressure of each pressure measurement point, and realizing leakage state identification and diagnosis of the large complex oil and gas pipeline system through correlation analysis of simulated and actually measured pressure deviation distribution. The limitation of sectional detection is broken through, and a leakage detection system for the CPM (Computational Pipeline Monitoring)-based large complex natural gas pipeline system is established.

Description

technical field [0001] The invention relates to the technical field of pipeline system leakage detection, in particular to a large-scale and complex natural gas pipeline network system leakage detection method. Background technique [0002] At present, the online pipeline leakage detection technology and system are developing along two lines of thought: one is the pipeline analysis calculation detection method CPM (Computational Pipeline Monitoring) based on the internal flow and leakage characteristics of the pipeline, and the other is the external detection with the help of external systems and equipment Methods (optical fiber, cable and infrasonic method, etc.). [0003] The leak detection method based on the pipeline dynamic model makes full use of all the characteristics of the flow and leakage of the pipeline system, can identify the normal transient flow of the pipeline and the disturbance caused by small leaks, and is sensitive to the small leaks that occur but is no...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 王寿喜高爱华蒲宏斌郭乔汪春付乔国春刘思良席海宏张廷廷宋涛王佳张艳玲许永勃
Owner CHINA PETROLEUM & CHEM CORP
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