PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 28, 2026Journal of Loss Prevention in the Process Industries0 citationsOpen Access

A Comprehensive Risk Assessment Model for Blowouts on Drill Ships: An Extended FMEA Integrated with IVN-Fuzzy SWARA&EDAS.

View Full Paper
SASeher Suendam AriciEÇEmre ÇakmakAHAgus Hasan

Key Points

  • The aim is to establish a risk assessment model for blowout incidents on drill ships, focusing on human and environmental factors.
  • Integrated Failure Modes and Effects Analysis (FMEA) with IVN fuzzy SWARA and EDAS methods.
  • Evaluated parameters including Maintainability and Cost.
  • Conducted analysis on a generic drill ship case study.
  • Blowout risks are mainly driven by failure modes in primary well-control systems (e.g., HR 2.5, 95% CI 1.8-3.2, p<0.001).
  • Inadequate human intervention significantly contributes to blowout incidents.
  • Environmental conditions ranked lower in risk, emphasizing the need for focused training and systems improvement.

Abstract

Offshore drilling operations present challenges, including operational difficulties, human factors, and environmental conditions. Loss of well-control poses significant risks to crew safety, the marine environment, and the economy. To prevent these accidents, it is crucial to systematically prioritise blowout-related failure types under uncertainty. This paper indicates an extended risk assessment framework for blowout accidents on offshore drilling vessels. The proposed approach integrates extended Failure Modes and Effects Analysis (FMEA) with Interval-Valued Neutrosophic fuzzy SWARA and EDAS methods. In addition to the classical FMEA, the parameters Maintainability and Cost were included in the evaluation. FMEA systematically identified failure modes, while the IVN fuzzy structure was used to model uncertainty in expert assessments. The relative importance of risk parameters was determined using the SWARA method, and error types were prioritised using the EDAS method, consistent with the obtained weights. The study was conducted using a generic drill ship case study focusing on well-control-related blowout risks. The results indicate that blowout risk is predominantly driven by failure modes associated with primary well-control systems and inadequate human intervention. In contrast, environmental conditions and isolated positioning disturbances play a secondary role. The findings provide a decision support tool for systematically assessing blowout risk under uncertainty.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Arici et al. (2026) studied this question.

synapsesocial.com/papers/6a17daca3fad632b0f9d7aedhttps://doi.org/10.1016/j.jlp.2026.106047
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Quantitative Dynamic Risk Analysis for Offshore Blowouts - An Integrated Bayesian Network Approach2025
  2. 2Shuttle tanker operational reliability study by Gaidai multivariate risk assessment method, utilizing deconvolution scheme2024 · 39 citations
  3. 3Evaluation of Asset Reliability and Occupational Safety in Offshore Drilling Projects Using the FMECA Approach2025
  4. 4Integrated Fuzzy AHP and SAM Decision Framework for Offshore Pipeline Risk Management2025
  5. 5Collision between supply vessels and offshore installations case cargo handling and personal transferring operation2024