Research and application of safety valves inspection method based on failure and risk big data

Title

Research and application of safety valves inspection method based on failure and risk big data

Subject

Maintenance
Petroleum industry
Big data
Chemical analysis
Inspection
Chemical industry
Accident prevention
Chemical equipment
Failure (mechanical)
Laws and legislation
Safety valves

Description

Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and chemical enterprises is usually 3-5 years. There is a prominent problem that inspection interval and maintenance interval is not consistent. This paper reveals the main failure modes, opening rate as well as maintenance replacement rate by analyzing the operation condition of 24720 safety valves of 322 typical units in oil refining and chemical industry. Moreover, the engineering application data of 44692 safety valves carried out with Risk-Based Inspection (RBI) method in the past eight years are statistically analyzed to reveal the risk distribution and risk level of safety valves. Based on the failure and risk level big data of safety valves, this paper proposes the safety valves inspection method to solve the contradiction between inspection interval and maintenance interval, which maybe further promote the legal compliance and long-term safe operation of production units in oil refining and chemical enterprises. The advantages and limitations of this method are summarized by sharing the engineering application cases in a petrochemical company about Safety valves inspection based on big data of failure and risk . Copyright 2021 by ASME.
Pressure Vessels and Piping Division
5

Creator

Xing, Jian
Ai, Shuping
Han, Zhiyuan

Publisher

ASME 2021 Pressure Vessels and Piping Conference, PVP 2021, July 13, 2021 - July 15, 2021

Date

2021

Type

conferencePaper

Identifier

0277027X
10.1115/PVP2021-61747

Citation

Xing, Jian, Ai, Shuping, and Han, Zhiyuan, “Research and application of safety valves inspection method based on failure and risk big data,” Lamar University Midstream Center Research, accessed May 4, 2024, https://lumc.omeka.net/items/show/29393.

Output Formats