Research on Classification of Pipeline Operator Clusters Based on PHMSA-IM Database

Xiangting Yin (), Dezhi Tang (), Hongjian Chen (), Xiaodong Zhang () and Gu Tan ()
Additional contact information
Xiangting Yin: University of Science and Technology
Dezhi Tang: PetroChina Planning and Engineering Institute
Hongjian Chen: PetroChina Planning and Engineering Institute
Xiaodong Zhang: University of Science and Technology
Gu Tan: PetroChina Planning and Engineering Institute

A chapter in LISS 2021, 2022, pp 228-236 from Springer

Abstract: Abstract How to evaluate the effectiveness of pipeline integrity management and put forward suggestions for improvement in order to achieve the continuous development is an urgent problem for pipeline operators. Based on the information in the PHMSA-IM (Integrity Management) database and the difference of pipeline failure’s definition at home and abroad, this paper proposes key quantitative indicators to measure the performance of pipeline operators. First classify all gas transmission pipeline operators based on pipeline mileage and thousand-mile leakage rate, and then use the annual high-consequence area mileage reassessment rate to further evaluate the operators that are already in the outstanding clusters, and then select benchmark operators and measure the integrity management performance level of each operator. In addition, the operator’s evolutionary trend was also studied, and it was found that the operator located in the cluster to be improved has a more obvious trend of evolving to a normal cluster, indicating that integrity management can effectively reduce pipeline leakage.

Keywords: Classification cluster; Integrity management performance; PHMSA-IM database; Leakage rate; HCA mileage reassessment rate (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-16-8656-6_22

Ordering information: This item can be ordered from
http://www.springer.com/9789811686566

DOI: 10.1007/978-981-16-8656-6_22

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().