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:en
en
Published: 2014
Subjects:
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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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.
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
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
id my.ump.umpir.5902
institution Universiti Malaysia Pahang
language en
en
publishDate 2014
record_format eprints
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) (Unpublished)
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
title 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_short 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
topic TA Engineering (General). Civil engineering (General)
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/
url_provider http://umpir.ump.edu.my/