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MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)

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...

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Main Author: Zuraimi, Muhammad Zur Faiezzuddin
Format: Final Year Project
Language:English
Published: IRC 2019
Subjects:
Q Science (General)
Online Access:http://utpedia.utp.edu.my/20931/1/MuhammadZurFaiezzuddinBinZuraimi_22941.pdf
http://utpedia.utp.edu.my/20931/
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id my-utp-utpedia.20931
record_format eprints
spelling my-utp-utpedia.209312021-09-10T08:58:41Z http://utpedia.utp.edu.my/20931/ MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT) Zuraimi, Muhammad Zur Faiezzuddin Q Science (General) 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. IRC 2019-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20931/1/MuhammadZurFaiezzuddinBinZuraimi_22941.pdf Zuraimi, Muhammad Zur Faiezzuddin (2019) MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT). 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)
Zuraimi, Muhammad Zur Faiezzuddin
MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)
description 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.
format Final Year Project
author Zuraimi, Muhammad Zur Faiezzuddin
author_facet Zuraimi, Muhammad Zur Faiezzuddin
author_sort Zuraimi, Muhammad Zur Faiezzuddin
title MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)
title_short MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)
title_full MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)
title_fullStr MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)
title_full_unstemmed MACHINE LEARNING MODEL FOR CORROSION PREDICTION: CASE STUDY ON SABAH OIL AND GAS TERMINAL (SOGT)
title_sort machine learning model for corrosion prediction: case study on sabah oil and gas terminal (sogt)
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20931/1/MuhammadZurFaiezzuddinBinZuraimi_22941.pdf
http://utpedia.utp.edu.my/20931/
_version_ 1739832814070661120
score 13.160551

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