Published November 2017 | Version v1
Journal article

Economic risk analysis of pitting corrosion in process facilities

Description

This paper presents a predictive probabilistic model to estimate the overall economic impacts of pitting corrosion by considering both the corrosion costs and significant losses that may occur if failures occur because of pitting corrosion. The major loss categories are considered as business loss and accidental loss. Models are proposed to estimate the elements in each loss category. Corrosion prevention, monitoring, maintenance and management (CPM3) costs are considered as the main categories of corrosion costs and the probabilistic models are proposed to estimate these costs. The Monte Carlo (MC) method is used to integrate the loss and cost models and also to address the uncertainties in these models. The effect of inflation on loss values and the mitigating impact of CPM3 costs are also taken into consideration in the developed models. The application of the proposed risk model is demonstrated using a piping case study. As highlighted in the case study, the developed models help to assess corrosion economic risk, which is used for corrosion prevention and control's decision-making. - Highlights: • A predictive model is proposed to estimate the economic impacts of pitting corrosion. • Both corrosion costs and losses are used to conduct overall economic assessment. • Corrosion costs are considered as prevention, monitoring, maintenance and management. • Pitting corrosion risk time plot is used to determine the component remaining life.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijpvp.2017.08.005

Additional details

Identifiers

DOI
10.1016/j.ijpvp.2017.08.005;
PII
S0308-0161(17)30166-7;

Publishing Information

Journal Title
International Journal of Pressure Vessels and Piping
Journal Volume
157
Journal Page Range
p. 51-62
ISSN
0308-0161
CODEN
PRVPAS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49087690
Subject category
S42: ENGINEERING;
Descriptors DEI
DECISION MAKING; ECONOMIC ANALYSIS; HAZARDS; LOSSES; MARKOV PROCESS; MONTE CARLO METHOD; PITTING CORROSION; PROBABILISTIC ESTIMATION; RISK ASSESSMENT; SOCIO-ECONOMIC FACTORS
Descriptors DEC
CALCULATION METHODS; CHEMICAL REACTIONS; CORROSION; ECONOMICS; INSTITUTIONAL FACTORS; STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.