7th Annual International Conference on Industrial Engineering and Operations Management

Application of the Turnaround Maintenance (TAM) Model to Oil and Gas Plants in Case Study for Heat Exchangers

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Track: Reliability and Maintenance
Abstract

Abstract

Oil and gas plants consist of many pieces of equipment and complex chemical processes that continuously operate under rigorous conditions of high pressures and fluctuating temperatures. Therefore, these devices require a total shutdown to perform Turnaround Maintenance (TAM) for a certain time period to carry out activities associated with inspection actions, replacement and repairs in order to avoid early aging of a plant resulting from corrosion, erosion, and fatigue. The purpose of this paper is to apply TAM model on heat exchangers as a part of Critical Static Equipment (CSE) of oil and gas plants to prolong component life and reduce consequences. This model includes three stages: removing some TAM activities that are associated with rotary machineries from scope of work (CWo) to maintain as a part of routine maintenance plan, applying Risk Based Inspection (RBI) of critical static equipment, and application of probability distributions. The results from TAM model application to improve TAM scheduling associated with decreasing duration and increasing interval of TAM, and generate an improvement in availability, reliability of oil and gas plants, and operation and maintenance costs and the consequent rise in production and an increase of profit. In addition, enhance attention at the development of on-line maintenance. This case study will present a real example of improving TAM scheduling of oil and gas plants and adapt for implementation in other static equipment pieces of oil and gas industries.

Key words - Turnaround Maintenance (TAM) Scheduling, Bisk-Based Inspection (RBI),                                                    Probability Distributions, and Oil and Gas industry.  

Published in: 7th Annual International Conference on Industrial Engineering and Operations Management, Rabat, Morocco

Publisher: IEOM Society International
Date of Conference: April 11-13, 2017

ISBN: 978-0-9855497-6-3
ISSN/E-ISSN: 2169-8767