Blar i NTNU Open på forfatter "Paltrinieri, Nicola"
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A case of dynamic risk management in the subarctic region
Paltrinieri, Nicola; Grøtan, Tor Olav; Bucelli, Marta; Landucci, Gabriele (Chapter, 2017) -
A data-driven approach to improve control room operators' response
Tamascelli, Nicola; Scarponi, Giordano; Paltrinieri, Nicola; Cozzani, Valerio (Peer reviewed; Journal article, 2021) -
A Guideline for the Dynamic Barrier Management Framework Based on System Thinking
Hosseinnia Davatgar, Behnaz; Haskins, Cecilia; Reniers, Genserik; Paltrinieri, Nicola (Journal article; Peer reviewed, 2019)Accident investigations in process industry indicate that inadequate barrier management has been one of the main causes of many major accidents. Barriers degrade over time and at different rates, and these degradations may ... -
A Machine Learning Approach to Predict Chattering Alarms
Tamascelli, Nicola (Master thesis, 2020)The alarm system plays a vital role to grant safety and reliability in the process industry. Ideally, an alarm should inform the operator about critical conditions only, and a set of corrective actions should be associated ... -
A Machine Learning Approach to predict Equipment Failure in Presence of Hydrogen
Alikhani Darabi, Maryam (Master thesis, 2022)Hydrogen could replace fossil fuels and mitigate the problem of global warming in the forthcoming years. However, pieces of equipment exposed to a hydrogen environment must cope with the damaging effect of this substance ... -
A Machine Learning Approach to Support the Analysis of Climate-Driven Natural Disaster Risk
Salte Hovstad, Janna; Skeide Ruth, Mathilde (Master thesis, 2021)Klimaendringer har bidratt til at naturkatastrofer har opptrådt med en økende hyppighet og alvorlighetsgrad de siste årene, og den økende trenden forventes å fortsette og eskalere. Høyere havtemperaturer øker sannsynligheten ... -
A new design concept of Blowout Preventer for decision support
Lee, Shenae; Lundteigen, Mary Ann; Paltrinieri, Nicola; Liu, Yiliu; Rød, Magne; Dale, John (Chapter, 2017)The Blowout Preventer (BOP) system is used for controlling blowout risks in drilling operations. The system is implemented to shut down an oil and gas well when the well fluids have entered the wellbore. All BOP systems ... -
A Prevention Approach For Chemical Process Risk Management: Retrieving Knowledge From Relevant Databases Through Machine Learning Techniques
Santini, Davide (Master thesis, 2019)With the new digital devices, the amount of generated data is continuously increasing. Through the World Wide Web, every type of data may be stored in database. The birth of the industry 4.0 represents the involvement of ... -
A system engineering approach to subsea spill risk management
Bucelli, Marta; Utne, Ingrid Bouwer; Salvo Rossi, Pierluigi; Paltrinieri, Nicola (Journal article; Peer reviewed, 2020)In recent years, environmental protection has received more attention in society. In addition to the ecological effect of a hydrocarbon release into the sea, its environmental impact is assessed by considering the amount ... -
Accident Frequency Evaluation to Support Dynamic RiskStudies
Landucci, Gabriele; Paltrinieri, Nicola (Journal article; Peer reviewed, 2016) -
Advanced techniques for Environmental Risk Assessment within the Oil & Gas sector
Ricciu, Marta (Master thesis, 2019)Olje- og gassinstallasjoner i sensitive områder med tøffe miljøforhold kan kreve forbedret risikovervåkning, vurdering og styring for å forhindre og begrense skaden forårsaket av utilsiktet hydrokarbonutslipp i sjøen. Dette ... -
An empirical case design and stress test addressing hidden, dynamic and emergent vulnerabilities of society
Okstad, Eivind Halvard; Grøtan, Tor Olav; Paltrinieri, Nicola (Chapter, 2017)The analytical framework ‘New Strains of Society’ deals with the effects of hidden, dynamic and emerging threats and vulnerabilities of society, and the possible handling of this. Empirical case studies aim to enhance the ... -
An Integrated Approach to Support the Dynamic Risk Assessment of Complex Industrial Accidents
Paltrinieri, Nicola; Landucci, Gabriele; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2019)Recent major accidents in the offshore oil and gas (O&G) industry have showed inadequate assessment of system risk and demonstrated the need to improve risk analysis. While direct causes often differ, the failure to update ... -
Analysis of domino scenarios in chemical and process facilities operating in harsh environmental conditions
Bucelli, Marta; Landucci, Gabriele; Haugen, Stein; Paltrinieri, Nicola; Cozzani, Valerio (Chapter, 2018)In the framework of chemical and process industry, accidental fires may lead to damages to equipment with severe consequences and possible domino effects. The availability and effectiveness of safety measures, aimed at ... -
Approach to the selection of strategies for emerging risk management considering uncertainty as the main decision variable in occupational contexts
Brocal, Francisco; Paltrinieri, Nicola; Gonzalez-Gaya, C; Sebastian, M A; Reniers, Genserik (Peer reviewed; Journal article, 2021)Emerging risk models are still scarce and far from agreed upon. They are currently the focus of increasing interest in the occupational context. Consequently, frameworks that deal with emerging risk management in industrial ... -
An Approach to Update the Failure Rates of Safety Barriers Based on Operating Experience
Lee, Shenae; Khakzad, Nima; Schmitz, Peter; Reniers, Genserik; Håbrekke, Solfrid; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)Hazardous events in process plants like the leakage of dangerous substances can result in severe damage, and such an event is often defined as the TOP event of a fault tree analysis (FTA) in a quantitative risk analysis. ... -
Are We Going Towards “No-Brainer” Safety Management?
Paltrinieri, Nicola (Chapter, 2023)Industry is stepping into its 4.0 phase by implementing and increasingly relying on cyber-technological systems. Wider networks of sensors may allow for continuous monitoring of industrial process conditions. Enhanced ... -
Assessment of safety barriers for the prevention of cascading events in oil and gas offshore installations operating in harsh environment
Bucelli, Marta; Landucci, Gabriele; Haugen, Stein; Paltrinieri, Nicola; Cozzani, Valerio (Journal article, 2018)Fire in the topside production area of offshore Oil and Gas (O&G) platforms has the potential to trigger cascading events and may lead to catastrophic consequences for operators, environment and asset. Safety barriers, ... -
Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants
Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2024)This work proposes a data fusion approach for quickest fault detection and localization within industrial plants via wireless sensor networks. Two approaches are proposed, each exploiting different network architectures. ... -
Bayesian regression based condition monitoring approach for effective reliability prediction of random processes in autonomous energy supply operation
Ahmad, Bahoo Toroody; De Carlo, Filippo; Paltrinieri, Nicola; Tucci, Mario; van Gelder, P.H.A.J.M. (Journal article; Peer reviewed, 2020)The probabilistic analysis on condition monitoring data has been widely established through the energy supply process to specify the optimum risk remediation program. In such studies, the fluctuations and uncertainties of ...