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. 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.