A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform

Giraldes Luis Nathan Leal; Haddad Assed Naked

doi:doi:10.11648/j.ijsqa.20190501.13

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A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform

Giraldes Luis Nathan Leal, Haddad Assed Naked

Published in International Journal of Science and Qualitative Analysis (Volume 5, Issue 1)

Received: 20 April 2019 Accepted: 5 June 2019 Published: 20 June 2019

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Abstract

Industrial accidents in recent years, particularly in the 1980s, have contributed significantly to the attention of government authorities, industry and society as a whole, in order to seek mechanisms to prevent such episodes that compromise safety of people and the quality of the environment. Currently one of the most discussed topics in various industries is process safety. Not all hazards and risks are the same or can have the same consequences. Process hazards and risks can cause major accidents, involving the release of potentially hazardous materials, fires, and explosions, or both. Accident studies have shown that equipment malfunctions are one of the major causes of unexpected and undesirable events, and so the inspection has been a technique to examine the actual condition of equipment exposed to corrosion damage mechanisms. One of the outputs from the inspection process is the observation of which damage mechanism is acting more intensely on the equipment or the piping. Having this information can help in forecasting the corrosion rates, which consequently assists in the design of a better inspection and maintenance plan. This work presents a methodology based on the Fuzzy logic, to analyze which are the corrosion damages mechanisms that contribute most to the deterioration of the equipment and pipes in an oil platform.

Published in	International Journal of Science and Qualitative Analysis (Volume 5, Issue 1)
DOI	10.11648/j.ijsqa.20190501.13
Page(s)	15-23
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Process Safety, Inspection, Corrosion, Damage Mechanisms, Fuzzy Logic

References

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[2]	Damage Mechanisms Affecting Fixed Equipment in the Refining Industry. API RECOMMENDED PRACTICE 571 - SECOND EDITION, APRIL 2011 (page 4-65).
[3]	Abordagem Sobre Inspeção Baseada Em Risco Segundo Api-581. Daniel K; Mishina V. II National Congress of Mechanical Engineering; 2012.
[4]	BW Offshore - Risk Based Inspection for Pressure Static Equipment Doc. no: MS-MP01650 Rev: 5 Published: 07.01.2019 (Page 4).
[5]	Markowski, Adam S. Mannan, M. Sam Fuzzy risk matrix. Available at https://doi.org10.1016/j.jhazmat.2008.03.055
[6]	Grecco, Cláudio Henrique dos Santos Avaliação da resiliência em organizações que lidam com tecnologias perigosas: o caso da expedição de radiofármacos / Cláudio Henrique dos Santos Grecco. – Rio de Janeiro: UFRJ/COPPE, 2012. XIV, 154 p.: il.; p. 131-140.
[7]	Vianna Filho, Alfredo Marques Análise da disponibilidade da instrumentação nuclear de um reator de pesquisa / Alfredo Marques Vianna Filho. – Rio de Janeiro: UFRJ/COPPE, 2016. XI, 133 p.: il.;. Referências Bibliográficas: p. 111-116.
[8]	BW Offshore - Corrosion Management Strategy Doc. no: MS-MP01638 Rev:1 Issue:7/3/2015 (Page 14).
[9]	Recommended Practice DNV-RP-G101 Risk Based Inspection of Offshore Topsides STATIC Mechanical Equipment October 2010 – Appendix A (Page 22).
[10]	Santos, Luana Fernanda Marques. Indicadores proativos de segurança de processo em instalações de armazenamento e transporte dutoviário de petróleo e derivados: construção de um painel de indicadores/ Luana Fernanda Marques Santos – 2018. 320 f.: il.:38 f. 175-184.
[11]	BW Offshore. Corrosion Management Doc. no: MS-MP01637. Rev:1 Issue:7/3/2015.
[12]	Chi-Hui Chien, Chun-Hung Chen, Yuh J. Chao. A strategy for the risk-based inspection of pressure safety valves. DOI: 10.1016/j.ress.2008.09.002
[13]	FERNANDES, Simone Zappe Análise da segurança de processo baseada em riscos no ciclo de vida das plataformas de petróleo./ Simone Zappe Fernandes. - 2018. f: 147 p il. 30 cm.
[14]	Grecco, Cláudio Henrique dos Santos Avaliação da resiliência em organizações que lidam com tecnologias perigosas: o caso da expedição de radiofármacos / Cláudio Henrique dos Santos Grecco. – Rio de Janeiro: UFRJ/COPPE, 2012. XIV, 154 p.: il.; 29,7 cm.
[15]	Luiz Antonio Moschini de Souza. Inspeção de sistemas de tubulações– Rio de Janeiro: IBP, 2017. 68 p.; il. (Guia de Inspeção, n. 06). E-ISBN 978-85-9486-083-5
[16]	Maneesh Singh, Marshal Pokhrel. A Fuzzy logic-possibilistic methodology for risk-based inspection (RBI) planning of oil and gas piping subjected to microbiologically influenced corrosion (MIC). DOI: 10.1016/j.ijpvp.2017.11.005

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Giraldes Luis Nathan Leal, Haddad Assed Naked. (2019). A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform. International Journal of Science and Qualitative Analysis, 5(1), 15-23. https://doi.org/10.11648/j.ijsqa.20190501.13

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ACS Style

Giraldes Luis Nathan Leal; Haddad Assed Naked. A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform. Int. J. Sci. Qual. Anal. 2019, 5(1), 15-23. doi: 10.11648/j.ijsqa.20190501.13

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AMA Style

Giraldes Luis Nathan Leal, Haddad Assed Naked. A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform. Int J Sci Qual Anal. 2019;5(1):15-23. doi: 10.11648/j.ijsqa.20190501.13

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@article{10.11648/j.ijsqa.20190501.13,
  author = {Giraldes Luis Nathan Leal and Haddad Assed Naked},
  title = {A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform},
  journal = {International Journal of Science and Qualitative Analysis},
  volume = {5},
  number = {1},
  pages = {15-23},
  doi = {10.11648/j.ijsqa.20190501.13},
  url = {https://doi.org/10.11648/j.ijsqa.20190501.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20190501.13},
  abstract = {Industrial accidents in recent years, particularly in the 1980s, have contributed significantly to the attention of government authorities, industry and society as a whole, in order to seek mechanisms to prevent such episodes that compromise safety of people and the quality of the environment. Currently one of the most discussed topics in various industries is process safety. Not all hazards and risks are the same or can have the same consequences. Process hazards and risks can cause major accidents, involving the release of potentially hazardous materials, fires, and explosions, or both. Accident studies have shown that equipment malfunctions are one of the major causes of unexpected and undesirable events, and so the inspection has been a technique to examine the actual condition of equipment exposed to corrosion damage mechanisms. One of the outputs from the inspection process is the observation of which damage mechanism is acting more intensely on the equipment or the piping. Having this information can help in forecasting the corrosion rates, which consequently assists in the design of a better inspection and maintenance plan. This work presents a methodology based on the Fuzzy logic, to analyze which are the corrosion damages mechanisms that contribute most to the deterioration of the equipment and pipes in an oil platform.},
 year = {2019}
}

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TY  - JOUR
T1  - A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform
AU  - Giraldes Luis Nathan Leal
AU  - Haddad Assed Naked
Y1  - 2019/06/20
PY  - 2019
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DO  - 10.11648/j.ijsqa.20190501.13
T2  - International Journal of Science and Qualitative Analysis
JF  - International Journal of Science and Qualitative Analysis
JO  - International Journal of Science and Qualitative Analysis
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AB  - Industrial accidents in recent years, particularly in the 1980s, have contributed significantly to the attention of government authorities, industry and society as a whole, in order to seek mechanisms to prevent such episodes that compromise safety of people and the quality of the environment. Currently one of the most discussed topics in various industries is process safety. Not all hazards and risks are the same or can have the same consequences. Process hazards and risks can cause major accidents, involving the release of potentially hazardous materials, fires, and explosions, or both. Accident studies have shown that equipment malfunctions are one of the major causes of unexpected and undesirable events, and so the inspection has been a technique to examine the actual condition of equipment exposed to corrosion damage mechanisms. One of the outputs from the inspection process is the observation of which damage mechanism is acting more intensely on the equipment or the piping. Having this information can help in forecasting the corrosion rates, which consequently assists in the design of a better inspection and maintenance plan. This work presents a methodology based on the Fuzzy logic, to analyze which are the corrosion damages mechanisms that contribute most to the deterioration of the equipment and pipes in an oil platform.
VL  - 5
IS  - 1
ER  -

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Author Information

Giraldes Luis Nathan Leal

Environmental Engineering Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Haddad Assed Naked

Environmental Engineering Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

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APA Style

Giraldes Luis Nathan Leal, Haddad Assed Naked. (2019). A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform. International Journal of Science and Qualitative Analysis, 5(1), 15-23. https://doi.org/10.11648/j.ijsqa.20190501.13

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ACS Style

Giraldes Luis Nathan Leal; Haddad Assed Naked. A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform. Int. J. Sci. Qual. Anal. 2019, 5(1), 15-23. doi: 10.11648/j.ijsqa.20190501.13

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AMA Style

Giraldes Luis Nathan Leal, Haddad Assed Naked. A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform. Int J Sci Qual Anal. 2019;5(1):15-23. doi: 10.11648/j.ijsqa.20190501.13

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@article{10.11648/j.ijsqa.20190501.13,
  author = {Giraldes Luis Nathan Leal and Haddad Assed Naked},
  title = {A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform},
  journal = {International Journal of Science and Qualitative Analysis},
  volume = {5},
  number = {1},
  pages = {15-23},
  doi = {10.11648/j.ijsqa.20190501.13},
  url = {https://doi.org/10.11648/j.ijsqa.20190501.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20190501.13},
  abstract = {Industrial accidents in recent years, particularly in the 1980s, have contributed significantly to the attention of government authorities, industry and society as a whole, in order to seek mechanisms to prevent such episodes that compromise safety of people and the quality of the environment. Currently one of the most discussed topics in various industries is process safety. Not all hazards and risks are the same or can have the same consequences. Process hazards and risks can cause major accidents, involving the release of potentially hazardous materials, fires, and explosions, or both. Accident studies have shown that equipment malfunctions are one of the major causes of unexpected and undesirable events, and so the inspection has been a technique to examine the actual condition of equipment exposed to corrosion damage mechanisms. One of the outputs from the inspection process is the observation of which damage mechanism is acting more intensely on the equipment or the piping. Having this information can help in forecasting the corrosion rates, which consequently assists in the design of a better inspection and maintenance plan. This work presents a methodology based on the Fuzzy logic, to analyze which are the corrosion damages mechanisms that contribute most to the deterioration of the equipment and pipes in an oil platform.},
 year = {2019}
}

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TY  - JOUR
T1  - A Fuzzy Logic-Possibilistic Methodology to Analyze the Main Corrosion Damages Mechanisms in Pipes and Equipment Installed in an Oil and Gas Platform
AU  - Giraldes Luis Nathan Leal
AU  - Haddad Assed Naked
Y1  - 2019/06/20
PY  - 2019
N1  - https://doi.org/10.11648/j.ijsqa.20190501.13
DO  - 10.11648/j.ijsqa.20190501.13
T2  - International Journal of Science and Qualitative Analysis
JF  - International Journal of Science and Qualitative Analysis
JO  - International Journal of Science and Qualitative Analysis
SP  - 15
EP  - 23
PB  - Science Publishing Group
SN  - 2469-8164
UR  - https://doi.org/10.11648/j.ijsqa.20190501.13
AB  - Industrial accidents in recent years, particularly in the 1980s, have contributed significantly to the attention of government authorities, industry and society as a whole, in order to seek mechanisms to prevent such episodes that compromise safety of people and the quality of the environment. Currently one of the most discussed topics in various industries is process safety. Not all hazards and risks are the same or can have the same consequences. Process hazards and risks can cause major accidents, involving the release of potentially hazardous materials, fires, and explosions, or both. Accident studies have shown that equipment malfunctions are one of the major causes of unexpected and undesirable events, and so the inspection has been a technique to examine the actual condition of equipment exposed to corrosion damage mechanisms. One of the outputs from the inspection process is the observation of which damage mechanism is acting more intensely on the equipment or the piping. Having this information can help in forecasting the corrosion rates, which consequently assists in the design of a better inspection and maintenance plan. This work presents a methodology based on the Fuzzy logic, to analyze which are the corrosion damages mechanisms that contribute most to the deterioration of the equipment and pipes in an oil platform.
VL  - 5
IS  - 1
ER  -

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