Highlights from the literature on risk assessment techniques adopted in the mining industry: A review of past contributions, recent developments and future scope

CATEGORY: RISK ASSESSMENT
Highlights from the literature on risk assessment techniques adopted in the mining industry: A review of past contributions, recent developments and future scope

Type	Journal Article
Author	Shikha Verma
Author	Sharad Chaudhari
URL	http://www.sciencedirect.com/science/article/pii/S2095268616300337
Volume	26
Issue	4
Pages	691-702
Publication	International Journal of Mining Science and Technology
Date	July 2016
Abstract	Reviews risk assessment techniques adopted in the mining industry worldwide. Techniques applied in other hazardous industries and potential techniques which are robust, mature and holistic, and which can be implemented for the Indian mining industry in future to enhance workplace safety are also presented. The review reveals that socio-technical complexity of industrial systems has increased. Recent developments in the area of risk management highlight the need for implementation of the latest robust techniques of risk assessment in the mining sector. The development of a model for risk analysis having an interface between hazard identification and risk assessment, along with an interface between risk assessment and accident causation to predict if an accident will occur under given conditions, has become urgent.

SPN as a tool for risk modeling of fires in process industries

CATEGORY: RISK ASSESSMENT
SPN as a tool for risk modeling of fires in process industries

Type	Journal Article
Author	Ondřej Grunt
Author	Radim Briš
URL	http://www.sciencedirect.com/science/article/pii/S095042301500039X
Volume	34
Pages	72-81
Publication	Journal of Loss Prevention in the Process Industries
Date	March 2015
Abstract	Authors present modeling the risk to safety of personnel on an offshore hydrocarbon production facility following hydrocarbon leak. As survival of personnel during hydrocarbon leak depends on numerous time-dependent events like fire escalation and gas cloud explosion, an extension of Petri Nets, Stochastic Petri Nets, was chosen as a suitable modeling tool. Event descriptions and model construction were based on realistic data from an offshore industry. Resulting probabilities of fatality following hydrocarbon leak were computed using Petri Nets module of GRIF software. Obtained probabilities were then compared with event tree and Direct Monte Carlo method results.

Risk-Based Process Safety Management through Process Design Modification for Gas Treatment Unit of Gas Oil Separation Plant

CATEGORY: RISK ASSESSMENT
Risk-Based Process Safety Management through Process Design Modification for Gas Treatment Unit of Gas Oil Separation Plant

Type	Journal Article
Author	Yongseok Lee
Author	Sungmo Lee
URL	http://dx.doi.org/10.1021/acs.iecr.5b00048
Volume	54
Issue	22
Pages	6024-6034
Publication	Industrial & Engineering Chemistry Research
Date	June 10, 2015
Abstract	Describes a novel technique for the feasible integration of process design and risk assessment using commercial simulators with the goal of carrying out risk-based process safety management of an existing gas oil separation plant (GOSP). For integration of these two different natures, the concept of static inventory was deduced in order to adjust the dynamic behavior of the fluid in process simulation to accident simulation, considering the flow rate and release duration of the fluid in case of an accident. Particularly for the gas treatment unit (GTU) among the various subsections of the GOSP process, this methodology attempts to assess the potential risk at the preliminary design stage and modify the process design of the existing process to alleviate the major hazard recursively identified during rigorous quantitative risk assessment (QRA).

Investigating new accident causation, risk assessment, and mitigation strategy selection tools in the petroleum industry

CATEGORY: RISK ASSESSMENT
Investigating new accident causation, risk assessment, and mitigation strategy selection tools in the petroleum industry

Type	Journal Article
Author	Mohammad AlKazimi
URL	Free Full Text Source:  http://scholarsmine.mst.edu/doctoral_dissertations/2402
Publication	Doctoral Dissertations
Date	2015-01-01
Abstract	The inherent complexity of the processes and the volatile nature of petroleum products compel the petroleum industry to continually seek and develop tools and techniques to identify, evaluate, and mitigate potential risks that can negatively impact their process operations. Additionally, government agencies and nonprofit professional societies guide the petroleum industry with regulatory guidelines, standards, and recommended best practices. The industry and these agencies and societies work to improve operational management, to ensure safe working conditions, and to minimize risk of all kinds, so that if failures occur, damage is contained within tolerable limits. The currently used of both qualitative and quantitative risk assessment tools fall short in identifying and ranking potential risks in the petroleum industry and they fail to demonstrate that risks have been reduced as low as reasonably practicable (ALARP). Moreover, the tools are limited to large, complex, and expensive studies. Because accidents due to both human errors and electromechanical failures still occur and result in various consequences, critics have raised concerns about the petroleum industry's safety and risk mitigation credentials and question its ability to prevent major accidents. The purpose of this research is to introduce new methods that provide more detailed and structure information to decision makers. They are more robust and easier-to-use so that novice engineers can successfully apply them without experts' need. This dissertation employs the publication option, where the research results are reported by presenting the text of five journal-conference publications."

Application Of Fuzzy Logic In Risk Assessment Of Failures And Accidents For Trunk Oil Pipelines

CATEGORY: RISK ASSESSMENT 
Application Of Fuzzy Logic In Risk Assessment Of Failures And Accidents For Trunk Oil Pipelines

Type	Journal Article
Author	R.A. Bayburin
Author	N.Kh. Abdrakhmanov
URL	http://ogbus.ru/article/primenenie-nechetkoj-logiki-v-ocenke-riska-otkazov-i-avarij-na-magistralnyx-nefteprovodaxapplication-of-fuzzy-logic-in-risk-assessment-of-failures-and-accidents-for-trunk-oil-pipelines/
Issue	4
Pages	512-537
Publication	Oil and Gas Business
Date	08/2015
Abstract	The majority of existing methods of risk assessment of trunk oil pipelines is based on probability and classical set theory. These methods do not take into consideration the fact that any complex system, such as trunk oil pipelines, is a dynamic system with a set of uncertain data. The results of risk assessment, obtained by conventional methods, don’t reflect the real situation about the condition of system. Authors offer a methodical approach to identification of risk factors sources and assessment of the level of risk based on system analysis and fuzzy set theory. The approach makes it possible to receive output conclusion about risk level in dynamic area of a complex system. The principles of fuzzy logic in the evaluation of diverse parameters of risk factors allow bringing them to a qualitative common denominator. As a result, we can perform comparative research of separate risk factors and also summarize them for assessment of current risk level of trunk oil pipelines. We reviewed causes of incidents and failures on trunk oil pipelines and have identified the most important risk factors that have greatest consequences. Risk factors in our method are determined by fuzzy set rules, which are a result of data analysis (accident reports, failure records for the similar pipelines) and expert’s evaluation of related input parameters. Risk factors and their parameters are classified in accordance with their relation to different environment and life-cycle stages. The article presents an example of evaluation of risk factor . Consequently, the indicator of risk factor was calculated in accordance with procedure of Mamdani fuzzy inference system (using the MATLAB Fuzzy Logic Designer). This method of risk assessment brings high opportunities for identification of the pipeline segments, where the risk level is most probably high and helps the decision maker to take remedial actions to mitigate potential risks. The operator can more effectively manage resources and improve efficiency of actions. Ability to reflect the current risk level is key advantage of our approach to risk assessment of risk management of trunk oil pipelines

The FMEA-Risk Analysis of Oil and Gas Process Facilities with Hazard Assessment Based on Fuzzy Logic

The FMEA-Risk Analysis of Oil and Gas Process Facilities with Hazard Assessment Based on Fuzzy Logic

Type	Journal Article
Author	Eduard Arkadievich Petrovskiy
Author	Fedor Anatoliievich Buryukin
URL	http://ccsenet.org/journal/index.php/mas/article/view/46749
Volume	9
Issue	5
Publication	Modern Applied Science
Date	2015-03-25
Abstract	Describes the practical application of the Failure Mode and Effect Analysis method to assess the operational reliability of oil refinery equipment, a major problem for oil-producing regions and countries. Oil refineries are hazardous industries. Consequently, the construction, adaptation and testing of effective risk analysis methods is important. The solution to this problem provides the basis for corrective actions to reduce the probability of damage from accidents to humans and the environment. The method is based on the detection probability of inconsistencies and involves elaborate ways to increase the reliability and security through risk analysis method. The approbation is performed for the Failure Mode and Effect Analysis method to assess the reliability based on the detection of defects typical to oil and gas facilities. The basic steps of the Failure Mode and Effect Analysis method are provided and show the possible options for scaling required to obtain quantitative risk assessments. The result was the quantitative risk assessment for oil transportation facilities. The supporting method for quantifying risk in emergency situations on the equipment are encouraged to use a fuzzy logic approach. The paper describes the main steps of this approach, demonstrating its applicability and the possibility of formation for quantitative estimates of the hazards of various defects in the equipment.

The Bowtie method in safety management system: A literature review

The Bowtie method in safety management system: A literature review

Type	Journal Article
Author	Seyed Shamseddin Alizadeh
Author	Parisa Moshashaei
URL	http://www.sjournals.com/index.php/SJR/article/view/1933
Volume	4
Issue	9
Pages	133-138
Publication	Scientific Journal of Review
Date	29/09/2015
Abstract	The Bowtie method is a qualitative incorporating management system technique. The theory behind the bow tie approach can be found in the “Swiss cheese model” of Reason. The Royal Dutch/Shell Group was the first major company to integrate fully the total bow-tie methodology into its business practices and the bowtie has since become popular as a structured method to assess risk where a quantitative approach is not possible or desirable. Its essence is to establish how many safety barriers there are available to prevent, control or mitigate the identified scenarios, and the quality of those barriers.

System Safety Assessment by Developing Hazard Rate Function Based on 5 years Incidents in an Oil Refinery Using Weibull Analysis and its Estimators

System Safety Assessment by Developing Hazard Rate Function Based on 5 years Incidents in an Oil Refinery Using Weibull Analysis and its Estimators

Type	Journal Article
Author	Praveen Patel
Author	Nagendra Sohani
URL	Free Full Text Source:  http://ijsrset.com/paper/538.pdf
Volume	1
Issue	5
Publication	International Journal of Scientific Research in Science, Engineering and Technology
Date	2015
Abstract	A comprehensive study on system safety assessment of an Indian Oil Refinery incident for five year was done considering the effect of incidents on refinery infrastructure and human injury/ causality. The impact of incidents has been assessed by two parameter first the time between two successive incidents and seconds its consequences. The hazard rate function and cumulative risk function for distinguished category of incident in oil refinery were developed. The study evaluated the status of safe ty level as well as the scope of improvement for the particular oil refinery safety.