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Journal ArticleDOI

Fuzzy consequence modeling of blowouts in Iranian drilling operations; HSE consideration

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TLDR
The results show that the risk of blowouts according to the reason of shallow gas in exploration well is the highest and prioritizing the assets according to their criticality demonstrate significance of the risk.
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This article is published in Safety Science.The article was published on 2015-08-01. It has received 15 citations till now. The article focuses on the topics: Lost circulation & Risk assessment.

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Risk assessment based on novel intuitionistic fuzzy-hybrid-modified TOPSIS approach

TL;DR: The intuitionistic fuzzy hybrid TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach is proposed to deal with limitations of a crisp risk matrix and uncertainties of group decision makers using experts’ opinions in linguistic terms to obtain an effective and comprehensive risk assessment technique.
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Artificial intelligence techniques and their applications in drilling fluid engineering: A review

TL;DR: A review of existing artificial intelligence techniques and their applications in drilling fluid engineering is given and ANN was found to meet all the listed criteria except for its slow speed of convergence while ANN, GA, SVM and fuzzy logic were all found to be robust against noise.
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A dynamic and quantitative risk assessment method with uncertainties for offshore managed pressure drilling phases

TL;DR: This method can model the influence of uncertain risk factors, which have been ignored in existing research, by introducing an additional probability parameter and three-step analysis partially validates the correctness and rationality of the proposed DBN model.
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A DBN-based risk assessment model for prediction and diagnosis of offshore drilling incidents

TL;DR: In this article, the authors proposed a CC-BY-NC-ND 4.0 license under the Creative Commons Attribution-Non-Commercial-Noise Control (CC-ND) 4.4.
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Risky systems versus risky people: To what extent do risk assessment methods consider the systems approach to accident causation? A review of the literature

TL;DR: A systematic review of the risk assessment methods presented in the literature and evaluate the extent to which they are underpinned by a systems thinking approach was carried out in this article, where a total of 342 methods spanning a range of safety-critical domains were evaluated using Rasmussen's tenets of accident causation.
References
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Journal ArticleDOI

Fuzzy risk matrix.

TL;DR: The fuzzification of frequency and severity of the consequences of the incident scenario are described which are basic inputs for fuzzy risk matrix and the effect of the design on final defuzzified risk index is demonstrated.
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A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain

TL;DR: In this paper, the authors combine fuzzy logic and analytic hierarchy process to form a decision-making model for different green initiatives in the fashion industry, which is used to analyse the associated risk of different alternatives, subject to different factors, be they deterministic or not.
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Developing a new fuzzy inference system for pipeline risk assessment

TL;DR: The results demonstrate that the proposed fuzzy logic model provides more accurate, precise, sure results; so that, it can be taken into account as an intelligent risk assessment tool in different engineering problems.
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A risk-based modelling approach to enhance shipping accident investigation

TL;DR: In this paper, a fuzzy extended fault tree analysis (FFTA) was proposed to enhance the execution process of shipping accident investigation (SAI) by combining the effects of organizational faults and shipboard technical system failures under a unique risk assessment scheme.
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Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery

TL;DR: This study introduces an integrated HSE and ergonomics expert system through fuzzy logic, which is structured with Data Engine and will lead to a robust control system for continuous assessment and improvement of Hse and ergonomicics performance.
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