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Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases

Corrosion Prediction models are important tools in determining materials selection and managing corrosion control strategies. The models can also be used as input in the Corrosion Design Basis Memorandum (CDBM). However, most of the corrosion prediction models have limited parameters as inputs in ca...

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Main Authors: Asmara, Y. P., Nur Azhani, Abd Razak, Salwani, Mohd Salleh
Format: Conference or Workshop Item
Language:English
English
Published: 2014
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/5902/1/fkm-2014-yuli-analysis_of_corrosion.pdf
http://umpir.ump.edu.my/id/eprint/5902/2/yuli_panca_IMTCE_2014-pg1.pdf
http://umpir.ump.edu.my/id/eprint/5902/
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spelling my.ump.umpir.59022018-02-14T06:03:26Z http://umpir.ump.edu.my/id/eprint/5902/ Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases Asmara, Y. P. Nur Azhani, Abd Razak Salwani, Mohd Salleh TA Engineering (General). Civil engineering (General) Corrosion Prediction models are important tools in determining materials selection and managing corrosion control strategies. The models can also be used as input in the Corrosion Design Basis Memorandum (CDBM). However, most of the corrosion prediction models have limited parameters as inputs in calculating corrosion rate. They emphasize only for specific environmental conditions. Thus, the models will be inaccurate in evaluating the corrosion rate when multi species and complex corrosion mechanisms exists. This research studied models developed by industries and academia which are ECE, Cassandra, Norsok, and Freecorp. This paper evaluated prediction model based on their theoretical backgrounds in CO2 environments pipelines which transports oil/gas/water by comparing with literatures and data’s experiments. Corrosion experiments were carried out to propose a model prediction using semi empirical approach. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5902/1/fkm-2014-yuli-analysis_of_corrosion.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/5902/2/yuli_panca_IMTCE_2014-pg1.pdf Asmara, Y. P. and Nur Azhani, Abd Razak and Salwani, Mohd Salleh (2014) Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases. In: International Symposium on Corrosion & Materials Degradation (ISCMD 2014), 14-16 Mei, 2014 , PWTC, Kuala Lumpur. pp. 1-5.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Asmara, Y. P.
Nur Azhani, Abd Razak
Salwani, Mohd Salleh
Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases
description Corrosion Prediction models are important tools in determining materials selection and managing corrosion control strategies. The models can also be used as input in the Corrosion Design Basis Memorandum (CDBM). However, most of the corrosion prediction models have limited parameters as inputs in calculating corrosion rate. They emphasize only for specific environmental conditions. Thus, the models will be inaccurate in evaluating the corrosion rate when multi species and complex corrosion mechanisms exists. This research studied models developed by industries and academia which are ECE, Cassandra, Norsok, and Freecorp. This paper evaluated prediction model based on their theoretical backgrounds in CO2 environments pipelines which transports oil/gas/water by comparing with literatures and data’s experiments. Corrosion experiments were carried out to propose a model prediction using semi empirical approach.
format Conference or Workshop Item
author Asmara, Y. P.
Nur Azhani, Abd Razak
Salwani, Mohd Salleh
author_facet Asmara, Y. P.
Nur Azhani, Abd Razak
Salwani, Mohd Salleh
author_sort Asmara, Y. P.
title Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases
title_short Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases
title_full Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases
title_fullStr Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases
title_full_unstemmed Analysis of Corrosion Prediction Software for Detection Corrosion in Oil and Gas Evironment Containing Acetic Acid, CO2 and H2S Gases
title_sort analysis of corrosion prediction software for detection corrosion in oil and gas evironment containing acetic acid, co2 and h2s gases
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/5902/1/fkm-2014-yuli-analysis_of_corrosion.pdf
http://umpir.ump.edu.my/id/eprint/5902/2/yuli_panca_IMTCE_2014-pg1.pdf
http://umpir.ump.edu.my/id/eprint/5902/
_version_ 1643665267018956800
score 13.211869

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