A region grade division calculation method suitable for pipeline high consequence area identification

CN117332933BActive Publication Date: 2026-07-03PETROCHINA CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: PETROCHINA CO LTD
Filing Date: 2022-06-22
Publication Date: 2026-07-03

AI Technical Summary

Technical Problem

Existing methods for classifying high-consequence zones in pipelines are significantly affected by human factors, often resulting in missed classifications in the third-level zone classification. Furthermore, the calculation methods are not sophisticated enough to achieve intelligent classification and accuracy.

Method used

The population data of buildings within the pipeline centerline area are determined by using a GIS system and digital pipeline map. The level is judged by using a 1m sliding unit, and various situations of level changes and level integration in the last 2km are taken into account to achieve intelligent division and accuracy.

Benefits of technology

It enables intelligent classification of pipeline regions, avoids missed identification of three-level regions, ensures the accuracy of relative mileage for each level of region, and improves the management efficiency of identifying high-consequence areas of pipelines.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This invention discloses a method for calculating regional classification applicable to the identification of high-consequence zones of pipelines. The method includes the following steps: S1: Determine the buildings within 200 meters of the centerline of any pipeline using a GIS system and a digital pipeline map, and obtain the population and household data (ai) of each building; S2: Determine the relative mileage of each building projected onto the pipeline centerline; S3: Set up a pipeline of length X meters and a line segment D of length 2 kilometers. n S4: Starting from a relative mileage of 0m, slide towards the end point in 1m increments until reaching a position 2km from the end of the pipeline; n The number of households included in the cluster A (Dn) S5: Determine the regional level of D0 to Dn based on the determined number of households; S6: Determine the regional level through the data collected by sliding and step S5, integrate the regional levels, and after the results are industrialized, they can be widely used in the identification of high-consequence areas in various oil and gas fields.

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