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

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 (Unpublished)

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Abstract

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.

Item Type: Conference or Workshop Item (Speech)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 30 May 2014 07:35
Last Modified: 14 Feb 2018 06:03
URI: http://umpir.ump.edu.my/id/eprint/5902
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