A risk‐based methodology to estimate shutdown interval considering system availability. Issue 3 (8th November 2014)

• Record Type: Journal Article
• Authors: Hameed, Abdul; Khan, Faisal; Ahmed, Salim
• Is Part Of: Process safety progress. Volume 34:Issue 3(2015:Sep.)
• Page Start: 267
• Page End: 279
• Publication Date: 2014-11-08
• Subjects: Chemical plants -- Management -- Periodicals; 660
• DOI: 10.1002/prs.11722
• Languages: English
• ISSNs: 1066-8527

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>This article presents a risk‐based methodology to estimate shutdown inspection and maintenance interval considering system availability. Most inspection and maintenance activities are performed when the plant/unit is in the operational state. However, some inspection and maintenance activities require the plant to be in a nonoperational or shutdown state. In most cases, operating companies adopt a shutdown schedule based on the original equipment manufacturer's (OEM) suggested recommended periods. However, this may not be the best strategy as OEM recommended duration is general and may not reflect the current state of operation. The proposed methodology is unique in the sense that it identifies a shutdown interval by identifying the critical equipment in terms of risk considering availability and safety of the operating unit. It optimizes process plant shutdown interval to minimize the risk (in dollar terms). The Markov process is used to establish the state diagram to calculate system availability. The proposed methodology is comprised of three steps namely, risk‐based equipment selection, shutdown availability modeling of a complex system using the Markov process, and risk‐based shutdown inspection and maintenance interval modeling. It can be applied to process plants such as those for liquefied natural gas processing, petrochemicals, and refineries. The key elements for the success of the proposed methodology are the plant‐specific data and identification of critical equipment. © 2014 American Institute of Chemical Engineers Process Saf Prog 34: 267–279, 2015</p> </abstract>