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A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression

Oil and gas industry, also known as petroleum industry which is one of the main branches in the industrial area. This industry makes huge amount of profits by selling oil and gas in the market. Health, production performance, safety and environment are vital aspect of the oil and gas industry....

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Main Author: Saharum, Muhammad Syafiq
Format: Final Year Project
Language:English
Published: IRC 2020
Subjects:
Q Science (General)
Online Access:http://utpedia.utp.edu.my/21752/1/19314_MuhammadSyafiq.pdf
http://utpedia.utp.edu.my/21752/
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spelling my-utp-utpedia.217522021-09-23T23:39:36Z http://utpedia.utp.edu.my/21752/ A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression Saharum, Muhammad Syafiq Q Science (General) Oil and gas industry, also known as petroleum industry which is one of the main branches in the industrial area. This industry makes huge amount of profits by selling oil and gas in the market. Health, production performance, safety and environment are vital aspect of the oil and gas industry. Especially for the production performance. For this industry to enhance their profits and minimize losses, they need to give more focus in term of optimizing and maintaining the existing structure or plants. The national oils and gas company is Petroliam Nasional Berhad (PETRONAS) owns the Malaysia Refining Company Sdn Bhd (MRCSB), which is one of its downstream arms. It is a concern by MRCSB that the corrosion-related issues may cost them a lot if they are not managed effectively. Hence, MRCSB proposed that the corrosion prediction should take place as one of the solutions to realize this aim. Therefore, the purpose of this study is to solve the corrosion-related problem on MRCSB with the comply of using new method which is data analytic. Data analytic is a process using quantitative and qualitative technique in transform data into useful information. Methodology used in the development is waterfall. By having prediction model, MRCSB will able to monitor and maintain the Naphthenic Acid corrosion properly. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21752/1/19314_MuhammadSyafiq.pdf Saharum, Muhammad Syafiq (2020) A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Saharum, Muhammad Syafiq
A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
description Oil and gas industry, also known as petroleum industry which is one of the main branches in the industrial area. This industry makes huge amount of profits by selling oil and gas in the market. Health, production performance, safety and environment are vital aspect of the oil and gas industry. Especially for the production performance. For this industry to enhance their profits and minimize losses, they need to give more focus in term of optimizing and maintaining the existing structure or plants. The national oils and gas company is Petroliam Nasional Berhad (PETRONAS) owns the Malaysia Refining Company Sdn Bhd (MRCSB), which is one of its downstream arms. It is a concern by MRCSB that the corrosion-related issues may cost them a lot if they are not managed effectively. Hence, MRCSB proposed that the corrosion prediction should take place as one of the solutions to realize this aim. Therefore, the purpose of this study is to solve the corrosion-related problem on MRCSB with the comply of using new method which is data analytic. Data analytic is a process using quantitative and qualitative technique in transform data into useful information. Methodology used in the development is waterfall. By having prediction model, MRCSB will able to monitor and maintain the Naphthenic Acid corrosion properly.
format Final Year Project
author Saharum, Muhammad Syafiq
author_facet Saharum, Muhammad Syafiq
author_sort Saharum, Muhammad Syafiq
title A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
title_short A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
title_full A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
title_fullStr A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
title_full_unstemmed A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
title_sort prediction model for corrosion damage due to naphthenic acid on oil and gas pipelines using linear regression
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21752/1/19314_MuhammadSyafiq.pdf
http://utpedia.utp.edu.my/21752/
_version_ 1739832907571134464
score 13.211869

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