Economic risk analysis of pitting corrosion in process facilities
Creators
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.2017.08.005Additional 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.