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INTEGRATED FAULT AND EMERGENCY MANAGEMENT IN OIL AND GAS INDUSTRY WITHIN THE CONTEXT OF SUSTAINABLE ENERGY TRANSITION

Lorand Toth, Artur George Gaman, Daniel Pupazan, Cristian Nicolescu, Cosmin Ilie

First published: 2026DOI pendingView metrics

Abstract

The oil and gas industry is undergoing a structural transformation driven by sustainability requirements, decarbonization policies, and the integration of alternative energy carriers such as hydrogen. In this context, ensuring the safety, reliability, and continuity of technological processes is critical, given the high-risk nature of hydrocarbon extraction, processing, and transport systems. Technological failures in oil and gas operations may generate cascading effects, including environmental pollution, greenhouse gas emissions, and major industrial accidents. Consequently, fault and emergency management must evolve from a reactive approach toward an integrated, predictive, and sustainability-oriented framework. This paper proposes a systemic approach to fault management, based on classical management principles adapted to the oil and gas sector and aligned with energy transition objectives. The study highlights the role of predictive, operational, and evaluative phases, integrated with risk management, environmental protection, and industrial safety systems. The results emphasize that efficient fault management contributes directly to emission reduction, operational resilience, and sustainable energy infrastructure development.

Publication details

Title
INTEGRATED FAULT AND EMERGENCY MANAGEMENT IN OIL AND GAS INDUSTRY WITHIN THE CONTEXT OF SUSTAINABLE ENERGY TRANSITION
Authors
Lorand Toth, Artur George Gaman, Daniel Pupazan, Cristian Nicolescu, Cosmin Ilie
Proceedings
SWS 2026 Conference Preprints
Publisher
STEF92 Technology
Year
2026
Pages
Not available yet
ISSN
1314-2704; 1314-2704
ISBN
Not available yet
Language
en
Publication type
Preprint
References12
  1. ISO 45001:2018/Amd 1:2024 - Occupational health and safety management systems - Requirements with guidance for use. International Organization for Standardization, Geneva, 2024.

  2. ISO 31000:2018 - Risk management - Guidelines. International Organization for Standardization, Geneva, 2018.

  3. Khan, F., Rathnayaka, S., Ahmed, S., Methods and models in process safety and risk management: Past, present and future, Process Safety and Environmental Protection, Elsevier, 2015, 98(1-2):116-147, DOI: 10.1016/j.psep.2015.07.005.

  4. Lisi, R., Milazzo, M. F., Maschio, G. Quantitative assessment of explosion risk in workplaces. Journal of Polish Safety and Reliability Association., Poland, 2009, pp. 287-294, ISSN: 2084-5316.

  5. Mourtzis, D., M., Vlachou, K., Milas, N., Xanthopoulos, N., A Cloud-based Approach for Maintenance of Machine Tools and Equipment Based on Shop-floor Monitoring. Procedia, Elsevier, 2015, CIRP. 41. DOI: 10.1016/j.procir.2015.12.069.,

  6. Carvalho, T.P., Soares, F.A.A.M.N., Vita, R., Francisco, R.P., Basto, J.P., Alcalá, S.G.S., A systematic literature review of machine learning methods applied to predictive maintenance, Computers & Industrial Engineering, 2019., Vol. 137, 106024, DOI: 10.1016/j.cie.2019.106024

  7. Zhang, W., Yang, D., Wang, H., Data-driven methods for predictive maintenance of industrial equipment: A survey, IEEE Systems Journal, 2019, PP (99):1-15

  8. International Energy Agency (IEA), Methane Tracker Report 2023, IEA Publications, Paris, 2023.

  9. European Commission, Directive 2012/18/EU (Seveso III) on the control of major-accident hazards involving dangerous substances - Implementation Report, Brussels, 2021.

  10. BP, Statistical Review of World Energy 2023, BP plc, London, 2023.

  11. International Energy Agency (IEA), The Oil and Gas Industry in Energy Transitions, IEA Publications, Paris, 2020.

  12. Li, X., Ding, Q., Sun, J.Q., Remaining useful life estimation in prognostics using deep learning approaches, Reliability Engineering & System Safety, 2018, Elsevier, vol. 172(C), pages 1-11., DOI: 10.1016/j.ress.2017.11.021

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