Dovre Safetec AS

Trondheim, Norway

Dovre Safetec AS

Trondheim, Norway
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Bye R.J.,Norwegian University of Science and Technology | Johnsen S.O.,Sintef | Lillehammer G.,Dovre Safetec AS
Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 | Year: 2017

Accidents within offshore helicopter transportation on the Norwegian continental shelf has decreased since the 1990s. The number of fatal accidents per million flight hours were 2.8 for the period 1990–1998, and zero for the period 1999 to 2012. When looking at the onshore (inland) helicopter transportation in Nor-way, the fatal accident rate was as high as 13.8 in the period 2000–2012. As many as 23 onshore helicopters crashed to the ground, of which 7 were fatal, killing 16 people. An obvious question to ask is; why is there such a big difference in accident rates between offshore and inland helicopters?. © 2017 Taylor & Francis Group, London.

Gilberg A.,Dovre Safetec AS | Kleiven E.,Dovre Safetec AS | Bye R.J.,Norwegian University of Science and Technology
Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 | Year: 2017

This paper presents the results of statistical analysis of maritime accidents data from Norwegian waters in order to identify influencing conditions associated with navigation accidents. The work is based on the ongoing research project, National Ship Risk Model, initiated by the Norwegian maritime Authority (NMA) and the Norwegian Coastal Administration (NCA), where the main objective is to develop a national ship risk model that can be used to better monitor and communicate the risk picture of marine activities in Norwegian waters (Blix et al. 2015). © 2017 Taylor & Francis Group, London.

Vinnem J.E.,University of Stavanger | Hestad J.A.,Dovre Safetec AS | Kvaloy J.T.,University of Stavanger | Skogdalen J.E.,University of Stavanger
Reliability Engineering and System Safety | Year: 2010

The offshore petroleum industry in Norway reports major hazard precursors to the authorities, and data are available for the period 1996 through 2009. Barrier data have been reported since 2002, as have data from an extensive questionnaire survey covering working environment, organizational culture and perceived risk among all employees on offshore installations. Several attempts have been made to analyse different data sources in order to discover relations that may cast some light on possible root causes of major hazard precursors. These previous attempts were inconclusive. The study presented in this paper is the most extensive study performed so far. The data were analysed using linear regression. The conclusion is that there are significant correlations between number of leaks and safety climate indicators. The discussion points to possible root causes of major accidents. © 2010 Elsevier Ltd. All rights reserved.

Vinnem J.E.,University of Stavanger | Bye R.,Norwegian University of Science and Technology | Gran B.A.,Dovre Safetec AS | Kongsvik T.,Norwegian University of Science and Technology | And 4 more authors.
Journal of Loss Prevention in the Process Industries | Year: 2012

Investigations of major accidents show that technical, human, operational, as well as organizational factors influence the accident sequences. In spite of these facts, quantitative risk analyses of offshore oil and gas production platforms have focused on technical safety systems. This paper describes an effort to develop further the quantitative risk analysis of the platform specific hydrocarbon release frequency by considering operational barriers in event trees and fault trees, as well as risk influencing factors that determine the basic event probabilities in the fault trees. A generic model based on Risk Influencing Factors has been developed and is adapted to use for specific failure scenarios. The full Bayesian Belief Network (BBN) model is presented, and two alternative implementations are outlined. Human error probabilities are discussed, importance measurement, as well as modelling of common cause and interactions. Use of the model is briefly outlined, but the possible applications are presented more thoroughly in a companion paper. It has been demonstrated that the model is capable of reflecting relative differences between alternative installations with different cultures and implementation of management systems. The model is also useful in demonstrating the importance and effects of improving human and organizational aspects. © 2011 Elsevier Ltd.

Pedersen L.M.,Dovre Safetec AS | Ravdal B.A.,Gassco
Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015 | Year: 2015

The Norwegian gas network is one of the world’s largest integrated gas transports systems. Major disruptions in the gas transportation system will have serious consequences for gas consumers and producers. Business Continuity Plans (BCP’s) have been developed for a selection of scenarios in order to minimise the capacity loss and duration of major interruptions. This paper describes how Gassco together with Safetec has planned business continuity after possible major shutdown events in this system. © 2015 Taylor & Francis Group, London.

Isaksen S.L.,Dovre Safetec AS | Lundtofte C.P.,Dovre Safetec AS
Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015 | Year: 2015

Quantitative risk and reliability analyses generally involve many uncertainties. Results are based on assumptions which are not always highlighted or further assessed as part of the analysis. One important uncertainty factor is the reliability data which form the basis for predictions of future performance of components and systems. Knowing that reliability predictions, conclusions and ultimately decisions made regarding design, safeguards, choice of supplier etc, depend on these data, their quality is vital. Unfortunately, reliability data quality is generally a problem. Both the fact that the quality is generally low, but also the fact that this issue is not addressed much in the analysis and much less assessed in terms of consequence for the results and conclusions. It is important that the stakeholder knows what the analysis is based on and gets a better picture of the uncertainties. Even though various aspects of this topic has been raised before, the general observation in the oil and gas industry is a tendency to focus more on system modelling and less on the input. Little effort is made to evaluate the quality of the input, how it affects results and communicate uncertainties and a nuanced risk picture to stakeholders. This paper aims to give some guidelines on how to do this from a practical point of view. © 2015 Taylor & Francis Group, London.

Bye R.J.,Dovre Safetec AS | Rosness R.,Sintef | Royrvik J.O.D.,NTNU Social Research Ltd.
Safety Science | Year: 2016

The 2001 HSE regulations for the Norwegian petroleum sector include a paragraph requiring the promotion of a sound health, safety and environment (HSE) culture. This paper presents an examination of the function of the 'culture' concept in communications from the regulatory authorities to the industry. We discuss implications for organisational and interorganisational learning for safety. The regulatory authorities use 'HSE culture' in different ways depending on the document. No explicit definition of HSE culture is given in the regulations or the guidelines, whereas several diverging definitions are mentioned in an information pamphlet. In accident investigation reports, the HSE-culture concept has typically been used to characterise organisations with numerous violations of the HSE regulations or internal procedures. The concept has also been used to devise simplistic and possibly tautological explanations for frequent rule violations and to argue that numerous rule violations constituted a violation of the regulatory requirement to promote a sound HSE culture. The plasticity of the 'HSE-culture' concept proved to be a two-edged sword. By introducing the HSE-culture concept in the framework regulation, the regulatory authorities explored an unconventional approach to HSE regulation. The 'HSE-culture' concept legitimated a very broad range of HSE approaches in regulated companies, some of which were unexpected by the regulatory authorities. In accident investigations, the use of the 'HSE-culture' concept in an explanatory capacity might lead to the premature closure of a search for the causes of an undesired behaviour or decision. The use of the term 'poor HSE culture' to explain or characterise extensive non-compliance in the investigation reports may have stimulated the regulated companies to prioritise HSE strategies and measures to enforce compliance. © 2015 Elsevier Ltd.

Lundtofte C.,Dovre Safetec AS | Solibakke S.,Dovre Safetec AS
Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013 | Year: 2014

In Reliability, Availability and Maintainability (RAM) analysis the performance of a production system can be measured. Traditionally, a flow network as a representation of the production system and its components combined with Monte Carlo Simulation (MCS) utilizing the discrete event simulation technique is used to generate the results of a RAM analysis. One can apply an analytical approach by use of the Markov metho dology instead of the MCS technique. This paper presents a case study of a RAM analysis of a Floating Production, Storage and Offloading (FPSO) unit in the Norwegian oil and gas industry, where both a RAM model using Monte Carlo simulation and a RAM model using a Markov method have been used to measure the production performance. The purpose of the paper is to provide useful information about these two methods from a practitioner point of view by comparing them in a real case production system application. © 2014 Taylor & Francis Group, London..

Kortner T.M.,Aquaculture Protein Center a CoE | Valen E.C.,Aquaculture Protein Center a CoE | Kortner H.,Dovre Safetec AS | Marjara I.S.,Aquaculture Protein Center a CoE | And 2 more authors.
Aquaculture | Year: 2011

The use of reference genes as internal controls is commonly accepted as the most appropriate normalization strategy in quantitative real-time PCR (qPCR) assays. However, there is increasing evidence that expression of many putative reference genes may be regulated by the experimental conditions, and thereby may result in an inaccurate or incorrect quantification of target gene mRNA expression. The aim of this study was to quantitatively evaluate commonly used reference genes for their suitability as a normalization factor for gene expression analyses in the intestine during development of a soybean meal (SBM)-induced intestinal inflammation (enteropathy) in Atlantic salmon. The software applications geNorm, NormFinder and BestKeeper were used to rank eight reference genes according to their stability across 80 samples from a feeding trial with sequential sampling at 10 time points following initiation of SBM exposure. Additionally, we propose a novel statistical model for estimation and ranking of reference gene stability, based on the coefficient of variation (CV) and the Fisher test. ACTB, EF1A, G6PDH and RPS20 mRNA levels displayed a time-dependent induction during development of the enteropathy. In contrast, 18S, GAPDH, RNAPOLII and HPRTI were more stably expressed during the experiment. Overall, a combination of GAPDH, RNAPOLII and HPRTI is recommended as an internal normalization factor in qPCR assays of the distal intestine of Atlantic salmon with SBM-induced enteropathy. Furthermore, we demonstrate that ignoring underlying assumptions made by normalization software may result in an inaccurate or even completely incorrect conclusion on the selection of the best reference gene(s). © 2011 Elsevier B.V.

Heide B.,Dovre Safetec AS
11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012 | Year: 2012

It is widely agreed upon that helicopter transport is one of the main contributors to risk for personnel in the offshore petroleum sector. In the Helicopter Safety Study 3 (HSS3) a method was proposed to analyze this risk. However, that approach has limited applicability for many of the quantitative risk assessments that are carried out for the Norwegian offshore petroleum industry every year. In this paper we propose a method that will be more directly applicable than the HSS3 method. New insight is gained though a new accident model using flight stages, number of flights and flight duration as input. Additionally, an example of risk presentation is given and a comprehensive accident statistics review is combined with an analysis of statistically significant trends and differences between countries. Copyright © (2012) by IAPSAM & ESRA.

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