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

• 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/

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.