Leakage rate estimation system and method for product oil pipelines based on zero dimension

Abstract

The invention provides a leakage rate estimation system and method for product oil pipelines based on zero dimension and belongs to the technical field of leakage rate detection for the product oil pipelines. The method comprises the following steps: effectively analyzing a lot of data collected on site in a reasonable time, obtaining the state of a whole pipe segment by using a pressure sensor array, and therefore obtaining the pressure changing trend of the pipeline; meanwhile, analyzing whether the pipeline has abnormal conditions or not by adopting a flow balance method and combining with an information consistency theory. The method is visualized and simple, is high in sensitivity and low in false alarm rate and can precisely give an alarm for detection of the small leakage rate and slow leakage. A BP neural network is adopted to calculate the rate of pressure decay of the pipeline, so that the accuracy of the final result is improved. Meanwhile, the method adopting dimensionless modeling decreases the calculated amount and increases the calculation accuracy.

Description

technical field [0001] The invention relates to the technical field of leakage detection methods of refined oil pipelines, in particular to a dimensionless system and method for estimating the leakage of refined oil pipelines. Background technique [0002] At present, the pipeline leakage detection system based on the negative pressure wave detection method has been widely used, but there are still some common problems in this type of system: the product oil pipeline leakage monitoring system cannot evaluate the leakage level of the leakage accident, that is, the leakage of the pipeline Quantitative estimation of the quantity has been technically impossible. [0003] At present, the accurate estimation of the leakage of refined oil pipelines is related to many factors, the most critical of which is the pressure wave attenuation rate of the current pipeline medium. Through the accurate pressure wave attenuation rate, a corresponding model can be established to estimate the le...

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Problems solved by technology

[0002] At present, the pipeline leakage detection system based on the negative pressure wave detection method has been widely used, but there are still some common problems in this type of system: the product oil pipeline leakage monitoring system cannot evaluate the leakage level of the leakage accident, that is, the leakage of the pipeline Quantitative estimation of the quantity has not been technically possible

[0003] At present, the accurate estimation of the leakage of refined oil pipelines is related to many factors, the most critical of which is the pressure wave attenuation rate of the current pipeline medium. Through the accurate pressure wave attenuation rate, a corresponding model can be established to estimate the leakage; long-term transportation During the hydraulic transient process of the product oil pipeline, the direct water hammer pressure will propagate along the pipeline. Due to the existence of residual flow, wherever the direct water hammer pressure wave goes, the flow velocity will continue to change, and the direct water hammer pressure wave front There is obvious attenuation of the peak value, which is the so-called pressure wave attenuation; there are different degrees of loss in the transmission of pressure wave in the pipeline, and the pressure wave is attenuated every time it is transmitted, and the pressure wave is attenuated according to different media and distances. However, due to the long distance between long-distance pipelines, many environmental factors, and the boundary conditions of the medium of each pipeline are different, the relevant theory on the degree and form of pressure wave attenuation in product oil pipelines has not yet been formed. Data collection research is carried out with targeted pipe sections. Therefore, finding a suitable way to calculate the pressure wave attenuation rate and establishing a suitable model to estimate the leakage is the general direction of future research.

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