Modeling Damage Prevention Effectiveness Based on Industry Practices and Regulatory Framework

2006 ◽  
Author(s):  
Qishi Chen ◽  
Kimbra Davis ◽  
Curtis Parker
Keyword(s):  
Perceived Risk ◽  
Oil And Gas ◽  
Public Awareness ◽  
Fault Tree ◽  
Prevention Measures ◽  
Tree Model ◽  
Performance Factors ◽  
General Terms ◽  
Logical Representation ◽  
Damage Prevention

Managing actual or perceived risk in today’s environment is the concern of every industry and government. For oil and gas pipelines, prevention of mechanical interference by excavation equipment is one of the most effective ways to reduce incidents and to manage operating risk. A common technique used to manage reliability, risk and safety is the fault tree method. In general terms, a fault tree model identifies important events and combinations of events, with respect to system reliability, to estimate the likelihood of system failures. When applied to damage prevention, the fault tree forms a logical representation of the manner in which the combined fault effects associated with individual prevention measures could lead to a hypothesized failure of an operator’s damage prevention program. The model presented in this paper considers performance factors such as signage, patrols, one-call practices, excavation techniques, public awareness programs and new damage prevention technologies.

Analyzing the Effectiveness of Prevention Measures for Third-Party Damage to Underground Pipelines Using a Hierarchical Fault Tree Model

2016 ◽  
Author(s):  
Dongliang Lu ◽  
Mark Stephens
Keyword(s):  
Data Collection ◽  
Management Practices ◽  
Fault Tree ◽  
Mechanical Damage ◽  
Third Party ◽  
Weak Links ◽  
Prevention Measures ◽  
Tree Model ◽  
Underground Pipelines ◽  
Damage Prevention

This paper presents a hierarchical fault tree model for analyzing the effectiveness of measures for the prevention of third-party mechanical damage to underground pipelines. The model consists of a high level failure model that provides an overall indication of the effectiveness of a damage prevention program; and lower level fault tree models that detail the effectiveness of individual damage prevention measures. The model developed in this paper is consistent with current damage prevention and data collection practices, and it presents information in a simple and intuitive format that facilitates analysis and interpretation. The hierarchical fault tree approach developed in this paper is shown to be a useful tool for evaluating the effectiveness of various measures to prevent third-party damage and for identifying weak links in current damage management practices. It can also serve to inform the development of new damage prevention techniques and to identify information priorities relevant for future data collection and interpretation efforts aimed at reducing the frequency of third-party damage events.

Third-Party Damage Model for Gas Distribution Pipelines

2018 ◽  
Author(s):  
Joseph S. Santarelli ◽  
Wenxing Zhou ◽  
Carrie Dudley-Tatsu
Keyword(s):  
Emergency Preparedness ◽  
Damage Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Probability Of Failure ◽  
Boolean Logic ◽  
Third Party ◽  
Prevention Measures ◽  
Tree Model ◽  
Economic Implications

Third-party damage (TPD) is any damage to underground infrastructure that occurs during work unrelated to the asset. In 2015, there were 10,107 TPD incidents in Canada causing over a billion dollars in estimated damage. TPD is the leading cause of failure for distribution gas pipelines; since distribution pipelines are generally located in areas with high population densities, TPD has significant safety and economic implications. In this study, a probabilistic model is developed to qualify the probability of failure of distribution pipelines due to TPD. The model consists of a fault tree model to quantify the probability of hit given the occurrence of third-party excavation activities and the methodology to evaluate the probability of failure given hit. Fault tree analysis (FTA) is a top down, deductive failure analysis method which uses Boolean logic to combine a series of basic events to analyze the state of a system. Earlier prior research demonstrated the ability of a FTA to quantify the probability of TPD occurring on natural gas transmission pipeline systems. These models allow for a quantitative analysis of preventative measures and, in conjunction with current practices, facilitate a predictive method to plan and optimize resource allocation for damage mitigation and emergency preparedness. The developed TPD model is validated using the data provided from a region in Southwest Ontario. The model will provide distribution companies with a practical tool to identify third-party damage hot spots, develop proactive third-party damage prevention measures, and prioritize damage repair activities using a risk-based approach.

Assessing the Risk of Noncompliance in Wastewater Treatment

1992 ◽  
Vol 26 (5-6) ◽  
pp. 1411-1420 ◽  
Author(s):  
S. H. Choudhury ◽  
S. L. Yu ◽  
Y. Y. Haimes
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Fault Tree ◽  
Treatment Plant ◽  
Risk Identification ◽  
System Component ◽  
System Failure ◽  
Tree Model ◽  
Risk Quantification ◽  
Failure Probabilities

This paper presents an integrated methodology that allows determining the probability of noncompliance for a given wastewater treatment plant. The methodology applies fault-tree analysis, which uses failure probabilities of individual components, to predict the overall system failure probability. The methodology can be divided into two parts : risk identification and risk quantification. In risk identification, the key components in the system are determined by analyzing the contribution of individual component failures toward system failure (i.e., noncompliance). In risk quantification, a fault-tree model is constructed for the particular system, component failure probabilities are estimated, and the fault-tree model is evaluated to determine the probability of occurrence of the top event (i.e., noncompliance). A list can be developed that ranks critical events on the basis of their contributions to the probability of noncompliance. Such a ranking should assist managers to determine which components require most attention for a better performance of the entire system. A wastewater treatment plant for treating metal-bearing rinse water from an electroplating industry is used as an example to demonstrate the application of this methodology.

Fault-Tree Model for Risk Assessment of Bridge Failure: Case Study for Segmental Box Girder Bridges

2013 ◽  
Vol 19 (3) ◽  
pp. 326-334 ◽  
Author(s):  
Caitlyn Davis-McDaniel ◽  
Mashrur Chowdhury ◽  
Weichiang Pang ◽  
Kakan Dey
Keyword(s):  
Risk Assessment ◽  
Fault Tree ◽  
Tree Model ◽  
Box Girder Bridges ◽  
Box Girder ◽  
Girder Bridges ◽  
Bridge Failure

Bayesian updating in a fault tree model for shipwreck risk assessment

2017 ◽  
Vol 590-591 ◽  
pp. 80-91 ◽  
Author(s):  
H. Landquist ◽  
L. Rosén ◽  
A. Lindhe ◽  
T. Norberg ◽  
I.-M. Hassellöv
Keyword(s):  
Risk Assessment ◽  
Fault Tree ◽  
Bayesian Updating ◽  
Tree Model

Modeling bid/no bid decisions using fuzzy fault tree

2018 ◽  
Vol 18 (1) ◽  
pp. 90-108 ◽  
Author(s):  
Mohamed Marzouk ◽  
Emad Mohamed
Keyword(s):  
Fault Tree ◽  
The Body ◽  
Final Decision ◽  
Extensive Literature ◽  
Willingness To Participate ◽  
Tree Model ◽  
Content Type ◽  
Proposed Model ◽  
Multiple Experts ◽  
Two Stages

Purpose Decisions by construction contractors to bid (or not to bid) require the thorough assessment and evaluation of factors relevant to the decision, as well as the quantification of their combined impact, to produce successful bid/no-bid decisions. The purpose of this study is to present a fuzzy fault tree model to assist construction contractors to more efficiently bid for future projects. Design/methodology/Approach The proposed model consist of two stages: first, identification of the factors that affect bidding decision using a questionnaire survey after an extensive literature review, and second, usage of the identified factors to build a fuzzy fault tree model to simulate the bidding decision. Findings A list of 15 factors that affect bid/no-bid decisions was identified. Analysis of factors revealed that the highest-ranking factors were related to financial aspects of the project. A case study is presented to demonstrate the capabilities of the model, and a fuzzy important analysis is performed on the basic events to demonstrate the differences between three contractors’ bid/no-bid decisions. The results reveal that there is variation between the decisions of each contractor based on their willingness to participate. Besides, the influence of evaluation factors on the final decision for each contractor is different. Originality/value The study contributes to the body of knowledge on tendering and bidding practices. The proposed model incorporated the fuzzy set theory, which suits human subjectivity. The proposed methodology overcomes the limitations of previous models as it can, using the linear pool opinion principle, combine and weigh the evaluations of multiple experts. In addition, the model is convenient for situations where historical data are not available.

Fault Tree Analysis on Hydraulic System Causing Fire of Heavy Self-Dumping Truck

2012 ◽  
Vol 619 ◽  
pp. 425-430
Author(s):  
Chang Su ◽  
Wei Jia Su
Keyword(s):  
Hydraulic System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Spare Parts ◽  
Mine Safety ◽  
Prevention Measures ◽  
Oil Leakage ◽  
Spare Parts Management ◽  
Safety Production ◽  
Fire Accident

The fire accident of heavy mineral self-dumping truck is one of the most serious disaster in mine safety production. Research on the reasons that cause fire accident is an important study for ensuring safety production. By analyzing three elements that constitute self-dumping truck fire accident, the characteristics and easy ignition points as well as major combustion parts of self-dumping truck fire accident, we confirm that the hydraulic system leakage is the major factor that causes fire. To find out the fault reason of hydraulic system oil leakage, we analyze the composition and working principle of self-dumping truck, establish leakage fault tree of hydraulic system. Based on logic relationships between each fault and fire, we get the following conclusion: hydraulic tubing damage is the highest probability event that causes oil leakage fault. In addition, we should pay attention to spare parts management factor, correct driving factor and equipment management factor. We also propose the prevention measures of leakage and fire

RELIABILITY ASSESSMENT OF SAFETY INSTRUMENTED SYSTEMS IN THE OIL AND GAS INDUSTRY: A PRACTICAL APPROACH AND A CASE STUDY

2009 ◽  
Vol 16 (02) ◽  
pp. 187-212 ◽  
Author(s):  
MARY ANN LUNDTEIGEN ◽  
MARVIN RAUSAND
Keyword(s):  
Oil And Gas ◽  
Fault Tree ◽  
Reliability Assessment ◽  
Fault Tree Analysis ◽  
Practical Approach ◽  
Suggested Approach ◽  
Tree Analysis ◽  
Common Cause ◽  
Common Cause Failures

This article presents a practical approach to reliability assessment of a complex safety instrumented system that is susceptible to common cause failures. The approach is based on fault tree analysis where the common cause failures are included by post-processing the minimal cut sets. The approach is illustrated by a case study of a safety instrumented function of a workover control system that is used during maintenance interventions into subsea oil and gas wells. The case study shows that the approach is well suited for identifying potential failures in complex systems and for including design engineers in the verification of the reliability analyses. Unlike many software tools for fault tree analysis, the approach gives conservative estimates for reliability. The suggested approach represents a useful extension to current reliability analysis methods.

scholarly journals Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

2019 ◽  
Vol 111 ◽  
pp. 128-143 ◽  
Author(s):  
Mingyang Zhang ◽  
Di Zhang ◽  
Floris Goerlandt ◽  
Xinping Yan ◽  
Pentti Kujala
Keyword(s):  
Risk Factors ◽  
Fault Tree ◽  
Collision Risk ◽  
Tree Model ◽  
Factors Analysis

Benchmarking the failure assessment of perishable product supply chain using fault tree approach: insights from apple case study of India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manisha Bhardwaj ◽  
Rajat Agrawal
Keyword(s):  
Supply Chain ◽  
Fault Tree ◽  
Annual Reports ◽  
Importance Measure ◽  
Structured Interviews ◽  
Tree Model ◽  
Content Type ◽  
Perishable Product ◽  
Importance Factor ◽  
Tree Approach

PurposeThe purpose of this paper is to facilitate perishable product supply chain (PPSC) managers and practitioners to assess PPSC failure events. The paper proposed fault tree methodology for assessing failures associated with PPSC for evaluating the performance in terms of effective PPSC management adoption.Design/methodology/approachInitially, different failure events were identified from literature and semi-structured interviews from experts. Fault tree model was developed from the identified failure events. Probability of failure events was calculated using Poisson distribution based on the annual reports and interviews conducted from experts. Further, qualitative analysis – minimum cut sets (MCSs), structural importance coefficient (SIC) – and quantitative analysis – Birnbaum importance measure (BIM), criticality importance factor (CIF) and diagnosis importance factor (DIF) – were performed for ranking of failure events. In this study, fault tree development and analysis were conducted on apple supply chain to present the authenticity of this method for failure analysis.FindingsThe findings indicate that the failure events, given as failure at production and procurement (A2), that is, involvement of middleman (BE3), handling and packaging failure (BE4) and transportation failure (A3), hold the highest-ranking scores in analysis of PPSC using fault tree approach.Originality/valueThis research uses the modularization approach for evaluation of failure events of PPSC. This paper explores failures related to PPSC for efficient management initiatives in apple supply chain context. The paper also provides suggestion from managerial perspective with respect to each failure event.

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