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A risk-based methodology to estimate shutdown interval considering system availability

journal contribution
posted on 2023-05-19, 10:32 authored by Hameed, A, Faisal KhanFaisal Khan, Ahmed, S
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.

History

Publication title

Process Safety Progress

Volume

34

Pagination

267-279

ISSN

1066-8527

Department/School

Australian Maritime College

Publisher

American Institution of Chemical Engineers

Place of publication

USA

Rights statement

Copyright 2014 American Institute of Chemical Engineers

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering