UTPediaZuraimi, Muhammad Zur Faiezzuddin (2019) MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT). [Final Year Project] (Submitted)
![[thumbnail of MuhammadZurFaiezzuddinBinZuraimi_22941.pdf]](http://utpedia.utp.edu.my/style/images/fileicons/application_pdf.png)
PDF
MuhammadZurFaiezzuddinBinZuraimi_22941.pdf
Restricted to Registered users only
Download (2MB)
Abstract
The Sabah Oil and Gas Terminal (SOGT) is a part of the Sabah-Sarawak Integrated Oil
and Gas Project (SSIOGP) undertaken by Petronas Carigali in the state of Sabah (PCSB
SBA), in east Malaysia. The terminal processes oil and gas produced from the region’s
offshore fields. PCSB SBA is operating 4 incoming trunk lines (18” GOP, 14” KOP & 24”
KNNAG) to SOGT. 24” gas pipeline is operated by KPOC. All these trunk lines are
currently transporting maximum throughput capacity which bring highest revenue to
PETRONAS as show in Figure 1. Currently PCSB SBA is commissioning a Pipeline
Management System (PMS) as part of SOGT project deliverables for all the 4 incoming
trunk lines.
| Item Type: | Final Year Project |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Departments / MOR / COE: | Sciences and Information Technology > Computer and Information Sciences |
| Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
| Date Deposited: | 10 Sep 2021 08:58 |
| Last Modified: | 10 Sep 2021 08:58 |
| URI: | http://utpedia.utp.edu.my/id/eprint/20931 |
Actions (login required)
- View Item