Fuzzy-FMEA for Risk Analysis: Decommissioning an Offshore Manifold Wellhead Platform

Abstract Decommissioning is the process of dismantling a portion or all of an installation and transporting the disassembled materials to a specific location. To manage the possible and impact of risks that might arise during the decommissioning process, risk analysis is carried out. In this study, a risk assessment was conducted on the decommissioning of a four-legged jacket platform. The analysis method used was Fuzzy Failure Mode and Effect Analysis (fuzzy-FMEA), which uses a fuzzification process to identify the dominant risks and generate fuzzy-RPN (FRPN). It was found that residual hydrocarbon leakage was the dominant risk with FRPN 9, and further risk analysis was carried out using Fault Tree Analysis (FTA) to identify the root causes of the dominant risk, which were planning errors with probability 0,00026645 and Sealing failures occur with a probability of 0.00044118. Bowtie Analysis was used as a risk management tool, resulting in preventive and mitigation efforts. One of the preventive measures for the identified risks was to verify and validate the current well conditions, while mitigation efforts included narrowing the leakage area and installing a hydrocarbon detector.

Authors

Institutions

Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2025-03-01
DOI
https://doi.org/10.1088/1755-1315/1473/1/012040
Primary Topic
Marine and Offshore Engineering Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fuzzy-FMEA for Risk Analysis: Decommissioning an Offshore Manifold Wellhead Platform

D R Anggara, Wimala Lalitya Dhanistha, F D M Rosyid
IOP Conference Series Earth and Environmental Science
Marine and Offshore Engineering Studies
article

Fuzzy-FMEA for Risk Analysis: Decommissioning an Offshore Manifold Wellhead Platform

D R Anggara, Wimala Lalitya Dhanistha, F D M Rosyid
article en

Abstract

Abstract Decommissioning is the process of dismantling a portion or all of an installation and transporting the disassembled materials to a specific location. To manage the possible and impact of risks that might arise during the decommissioning process, risk analysis is carried out. In this study, a risk assessment was conducted on the decommissioning of a four-legged jacket platform. The analysis method used was Fuzzy Failure Mode and Effect Analysis (fuzzy-FMEA), which uses a fuzzification process to identify the dominant risks and generate fuzzy-RPN (FRPN). It was found that residual hydrocarbon leakage was the dominant risk with FRPN 9, and further risk analysis was carried out using Fault Tree Analysis (FTA) to identify the root causes of the dominant risk, which were planning errors with probability 0,00026645 and Sealing failures occur with a probability of 0.00044118. Bowtie Analysis was used as a risk management tool, resulting in preventive and mitigation efforts. One of the preventive measures for the identified risks was to verify and validate the current well conditions, while mitigation efforts included narrowing the leakage area and installing a hydrocarbon detector.

IOP Conference Series Earth and Environmental ScienceVol. 1473(1)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 79%
Marine and Offshore Engineering Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fuzzy-FMEA for Risk Analysis: Decommissioning an Offshore Manifold Wellhead Platform — D R Anggara, Wimala Lalitya Dhanistha, et al. · IOP Conference Series Earth and Environmental Science (2025) | TGRS Research Map | TGRS