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/ 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

id	ump-5902
recordtype	eprints
spelling	ump-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)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ 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
first_indexed	2023-09-18T22:01:19Z
last_indexed	2023-09-18T22:01:19Z
_version_	1777414417423532032

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

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