Risk analysis of offshore pipeline due to third party damages

E., Amri and Nurul Sa'aadah, Sulaiman and Qaid Alaw, Fares Ahmed (2019) Risk analysis of offshore pipeline due to third party damages. In: IOP Conference Series: Materials Science and Engineering; 1st Process Systems Engineering and Safety Symposium 2019, ProSES 2019, 4 September 2019 , Kuantan, Pahang, Malaysia. pp. 1-9., 702 (012053). ISSN 1757-8981

[img]
Preview
Pdf
Risk analysis of offshore pipeline due to third party damages.pdf
Available under License Creative Commons Attribution.

Download (672kB) | Preview

Abstract

The third party damage also known as external factor that contributed to pipeline failure was an unexpected event that considered as threats to human safety. In this work, two risk assessment approaches namely qualitative and quantitative were adopted to predict and measure the causes of offshore pipeline failure due to the third party damages. Qualitative analysis involving causal and consequences of an event was developed using Bow-tie (BT) model to determine the contributing parameter of an event. The parameters obtained were then converted to Bayesian Network (BN) for a quantitative approach. Based on the qualitative analysis, the major threats identified in third party damage were categorized into "anchor impact" and "impact" meanwhile the consequences were human safety, marine life ecosystem and economical loss. Statistical data from PARLOC 2012 were utilized for BN model and transformed into conditional probability table (CPTs). the results generated indicate that the major contribution to pipeline damage was "trawling". The utilization of Bow-tie and BN analysis may complement the risk analysis of offshore pipeline due to third party damage for more informed pipeline maintenance decisions.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Assessment approaches; Conditional probability tables; Pipeline maintenance; Qualitative analysis; Quantitative approach; Statistical datas; Third party damage; Unexpected events
Subjects: Q Science > QD Chemistry
T Technology > TP Chemical technology
Faculty/Division: Institute of Postgraduate Studies
Faculty of Chemical and Process Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 24 May 2023 04:44
Last Modified: 24 May 2023 04:44
URI: http://umpir.ump.edu.my/id/eprint/35892
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item