Identification and evaluation system and method for high-consequence areas of oil pipelines

Abstract

Embodiments of the present invention provide a system and method for identifying and evaluating high-consequence areas of oil pipelines. The method includes extracting the consequence element information data related to the high consequence area of ​​the pipeline from the image recognition data obtained in the image processing module; using the buffer space analysis function of the geographic information system to generate the comprehensive impact of the failure consequences of the oil pipeline based on the centerline of the pipeline Area; comparing the consequence element information data established by the consequence element set production module with the failure consequence comprehensive impact area determined by the failure consequence comprehensive impact area calculation module, and extracting the overlapped area as the oil pipeline high consequence area; according to the pre-set identification and evaluation criteria for the high-consequence area of ​​the oil pipeline, the severity of the consequences of the identified high-consequence area is graded and evaluated, which can improve the quality and efficiency of identification.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of risk management of oil and gas pipelines, in particular to a system and method for identifying and evaluating high-consequence areas of oil pipelines. Background technique [0002] In recent years, many oil and gas pipelines in our country have been put into operation one after another, and the number shows a rapid growth trend. Their safe operation plays a decisive role in the development of national life and economy. The common characteristics of long-distance oil and gas pipelines are that the pipelines cross a wide area, the external environment is complex, there are many hidden dangers of accidents, the external conditions of pipeline transportation are poor, corrosion and third-party damage are relatively serious, the possibility of accidents is high, and the consequences of accidents are generally serious. It is especially manifested in accidents in pipeline high consequen...

AI Technical Summary

Problems solved by technology

[0005] China's oil and gas pipeline integrity management technical standards have established identification basis for high-consequence areas of oil pipelines, and part of the identification basis is divided by regional level description. Since the definition of area level is a qualitative description, the identification operation of on-site high-consequence areas is relatively vague; identification basis The identification range of the high-consequence area of ​​the oil pipeline is defined as the range of 200m on both sides of the pipeline centerline. When the terrain has large fluctuations, the distance can be adjusted according to the topographical conditions and the possible flow direction of the underground pipe culvert. However, the identification basis does not include How to effectively judge the flow direction according to the topographical conditions and how to adjust the recognition distance is not given, and there are misrecognition and judgment deviations; in addition, the recognition basis does not propose a clear recognition method, and usually a large number of personnel are required to invest in the mapping and mapping of the surrounding areas of the pipeline on site. The collection of attribute information leads to a strong randomness in the execution of the recognition rules, which eventually leads to errors caused by too many subjective factors in the recognition results. The process and results are easily affected by human factors. The identification cycle is long, the cost is high, and the quality is unstable. The identification results cannot be effectively applied in the identification process of the next year. The reliability of the identification results and the guidance for management are not satisfactory; due to the HCA identification It is a cumbersome work in itself, coupled with periodic updates, it is impossible to fully use manual identification HCA to meet the actual market needs

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