A methodology for frequency tailorization dedicated to the Oil & Gas sector
暂无分享,去创建一个
[1] Faisal Khan,et al. Dynamic risk assessment using failure assessment and Bayesian theory , 2009 .
[2] Saeed Setayeshi,et al. Human reliability analysis of the Tehran research reactor using the SPAR-H method , 2012 .
[3] Laura Painton Swiler,et al. Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H , 2013, Reliab. Eng. Syst. Saf..
[4] F. K. Crawley,et al. Concept Risk Assessment of Offshore Hydrocarbon Production Installations , 1997 .
[5] Coen Van Gulijk,et al. Towards BBN based risk modelling of process plants , 2014 .
[6] Jan Erik Vinnem,et al. Risk modelling of maintenance work on major process equipment on offshore petroleum installations , 2012 .
[7] David Woods,et al. Essential Characteristics of Resilience , 2017 .
[8] Ferdinando Chiacchio,et al. Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences , 2016, Reliab. Eng. Syst. Saf..
[9] Jon Espen Skogdalen,et al. Analysis of root causes of major hazard precursors (hydrocarbon leaks) in the Norwegian offshore petroleum industry , 2010, Reliab. Eng. Syst. Saf..
[10] Per Hokstad,et al. The modelling of degraded and critical failures for components with dormant failures , 1996 .
[11] Mark A Griffin,et al. A conceptual framework and practical guide for assessing fitness-to-operate in the offshore oil and gas industry. , 2014, Accident; analysis and prevention.
[12] Tahir Husain,et al. Risk-based process safety assessment and control measures design for offshore process facilities. , 2002, Journal of hazardous materials.
[13] Vianney Perchet,et al. Quantitative Analysis of Dynamic Fault Trees Based on the Coupling of Structure Functions and Monte Carlo Simulation , 2016, Qual. Reliab. Eng. Int..
[14] Snorre Sklet,et al. Barrier and operational risk analysis of hydrocarbon releases (BORA-Release). Part I. Method description. , 2006, Journal of hazardous materials.
[15] Ronald A. Howard,et al. Dynamic Probabilistic Systems , 1971 .
[16] N. Limnios,et al. Semi-Markov Processes and Reliability , 2012 .
[17] Jan Erik Vinnem,et al. Root causes of hydrocarbon leaks on offshore petroleum installations , 2015 .
[18] Chi-Min Shu,et al. Applications of 3D QRA technique to the fire/explosion simulation and hazard mitigation within a naphtha-cracking plant , 2009 .
[19] Aydan Acikalin. Integration of safety management effectiveness into QRA calculations , 2009 .
[20] Faisal Khan,et al. Quantitative risk analysis of offshore drilling operations: A Bayesian approach , 2013 .
[21] P. L Hall,et al. Probabilistic physics-of-failure models for component reliabilities using Monte Carlo simulation and Weibull analysis: a parametric study , 2003, Reliab. Eng. Syst. Saf..
[22] Snorre Sklet,et al. Barrier and operational risk analysis of hydrocarbon releases (BORA-Release). Part II: Results from a case study. , 2006, Journal of hazardous materials.
[23] R. M. Pitblado,et al. Quantitative assessment of process safety programs , 1990 .
[24] Valerio Cozzani,et al. Assessment and comparison of two early warning indicator methods in the perspective of prevention of atypical accident scenarios , 2012, Reliab. Eng. Syst. Saf..
[25] Nima Khakzad,et al. Risk-based design of process systems using discrete-time Bayesian networks , 2013, Reliab. Eng. Syst. Saf..
[26] J G Post,et al. The use of generic failure frequencies in QRA: the quality and use of failure frequencies and how to bring them up-to-date. , 2006, Journal of hazardous materials.
[27] Robin Pitblado,et al. Frequency data and modification factors used in QRA studies , 2011 .
[28] Valerio Cozzani,et al. Prevention of domino effect: from active and passive strategies to inherently safer design. , 2007, Journal of hazardous materials.
[29] Valerio Cozzani,et al. Hazard identification for innovative LNG regasification technologies , 2015, Reliab. Eng. Syst. Saf..
[30] Eirik Albrechtsen,et al. Building resilience into emergency management , 2012 .
[31] Valerio Cozzani,et al. Safety assessment in plant layout design using indexing approach: implementing inherent safety perspective. Part 1 - guideword applicability and method description. , 2008, Journal of hazardous materials.
[32] Knut Øien,et al. Proactive Resilience Based Indicators: The Case of the Deepwater Horizon Accident , 2012 .
[33] Valerio Cozzani,et al. Quantitative assessment of domino and NaTech scenarios in complex industrial areas , 2014 .
[34] Karin Laumann,et al. Task complexity as a performance shaping factor: A review and recommendations in Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) adaption , 2015 .
[35] Gordon J. Savage,et al. Probability-Based Prediction of Degrading Dynamic Systems , 2013 .
[36] Brian Veitch,et al. Occupational accident models—Where have we been and where are we going? , 2006 .
[37] C. van Gulijk,et al. Chemical process industry Comparison of risk profiles for chemical process plants using PLATYPUS , 2014 .
[38] Nicola Paltrinieri,et al. Towards a dynamic risk and barrier assessment in an IO context , 2013 .
[39] Claire Infante-Rivard,et al. Housekeeping and safety: an epidemiological review , 1998 .
[40] Romney B. Duffey,et al. Know the risk , 2002 .
[41] Knut Øien,et al. Development of Early Warning Indicators based on Resilience Engineering , 2010 .
[42] John Spouge. New generic leak frequencies for process equipment , 2005 .
[43] Paul Goodwin,et al. Decision Analysis for Management Judgment , 1998 .
[44] Snorre Sklet,et al. Evaluation of the Risk OMT model for maintenance work on major offshore process equipment , 2012 .
[45] Elisabeth Paté-Cornell,et al. On “Black Swans” and “Perfect Storms”: Risk Analysis and Management When Statistics Are Not Enough , 2012, Risk analysis : an official publication of the Society for Risk Analysis.
[46] Faisal Khan,et al. Modelling of BP Texas City refinery accident using dynamic risk assessment approach , 2010 .
[47] Jan Erik Vinnem,et al. On the analysis of hydrocarbon leaks in the Norwegian offshore industry , 2012 .
[48] Torbjørn Rundmo,et al. Safety climate, attitudes and risk perception in Norsk Hydro , 2000 .
[49] Valerio Cozzani,et al. Coupling of advanced techniques for dynamic risk management , 2015 .
[50] Ingrid Bouwer Utne,et al. Building Safety indicators: Part 2 - Application, practices and results , 2011 .
[51] Ferdinando Chiacchio,et al. MatCarloRe: An integrated FT and Monte Carlo Simulink tool for the reliability assessment of dynamic fault tree , 2012, Expert Syst. Appl..
[52] Robello Samuel,et al. Reliability Informed Drilling: Analysis for a Dual-Gradient Drilling System , 2014 .
[53] F. K. Crawley,et al. The Change in Safety Management for Offshore Oil and Gas Production Systems , 1999 .
[54] Olexandr Yevkin,et al. An Efficient Approximate Markov Chain Method in Dynamic Fault Tree Analysis , 2016, Qual. Reliab. Eng. Int..
[55] Christian Delvosalle,et al. ARAMIS project: a comprehensive methodology for the identification of reference accident scenarios in process industries. , 2006, Journal of hazardous materials.
[56] T. Modis,et al. Experts in uncertainty , 1993 .
[57] Terje Aven,et al. Risk assessment of oil and gas facilities during operational phase , 2015 .
[58] Salvatore J. Bavuso,et al. Dynamic fault-tree models for fault-tolerant computer systems , 1992 .
[59] Cécile Fiévez,et al. ARAMIS project: a more explicit demonstration of risk control through the use of bow-tie diagrams and the evaluation of safety barrier performance. , 2006, Journal of hazardous materials.
[60] Per Hokstad,et al. The analysis of failure data in the presence of critical and degraded failures , 1997 .
[61] Frank P. Lees,et al. Loss Prevention In The Process Industries , 1980 .
[62] Valerio Cozzani,et al. Reference criteria for the identification of accident scenarios in the framework of land use planning , 2013 .
[63] Valerio Cozzani,et al. Prevention of atypical accident scenarios through the use of resilience based early warning indicators , 2011 .
[64] Valerio Cozzani,et al. Historical Background and State of the Art on Domino Effect Assessment , 2013 .
[65] Ali Mosleh,et al. A critique of current practice for the use of expert opinions in probabilistic risk assessment , 1988 .
[66] R. Sadiq,et al. Analyzing system safety and risks under uncertainty using a bow-tie diagram: An innovative approach , 2013 .
[67] Nima Khakzad,et al. Dynamic safety risk analysis of offshore drilling , 2014 .
[68] Warren D. Seider,et al. Plant-specific dynamic failure assessment using Bayesian theory , 2006 .
[69] Emre Akyuz. Quantification of human error probability towards the gas inerting process on-board crude oil tankers , 2015 .
[70] R. L. Boring,et al. A review of expertise and judgment processes for risk estimation , 2007 .
[71] Ingrid Bouwer Utne,et al. Building Safety indicators: Part 1 – Theoretical foundation , 2011 .
[72] Emre Akyuz,et al. Utilisation of Fuzzy Fault Tree Analysis (FFTA) for quantified risk analysis of leakage in abandoned oil and natural-gas wells , 2015 .
[73] A Falck,et al. Use of QRA for decision support in the design of an offshore oil production installation. , 2000, Journal of hazardous materials.
[74] Daejun Chang,et al. Risk-based determination of design pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method , 2014, Reliab. Eng. Syst. Saf..
[75] Terje Aven,et al. Practical implications of the new risk perspectives , 2013, Reliab. Eng. Syst. Saf..
[76] Nima Khakzad,et al. Dynamic risk analysis using bow-tie approach , 2012, Reliab. Eng. Syst. Saf..
[77] Valerio Cozzani,et al. Supporting Process Design by a Sustainability KPIs Methodology , 2013 .
[78] Terje Aven,et al. A new perspective on how to understand, assess and manage risk and the unforeseen , 2014, Reliab. Eng. Syst. Saf..
[79] Daniel A. Crowl,et al. Chemical Process Safety: Fundamentals with Applications , 2001 .
[80] Genserik Reniers,et al. Past, present and future of Quantitative Risk Assessment (QRA) and the incentive it obtained from Land-Use Planning (LUP) , 2014 .