Chapter 4. Methodological approaches to the intelligent human factor management on an offshore oil and gas platforms

Authors

Masuma Mammadova
Institute of Information Technology
http://orcid.org/0000-0002-2205-1023
Zarifa Jabrayilova
Institute of Information Technology
http://orcid.org/0000-0002-9661-5805
Tetyana Baydyk
National Autonomous University of Mexico
https://orcid.org/0000-0002-3095-2032
Ayten Ahmadova
Institute of Information Technology
https://orcid.org/0000-0003-1355-7425
Keywords: Offshore oil and gas industry, human-centered approach, IoT, continuous remote monitoring, expert assessment, intelligent health management system

Synopsis

EXPERT ASSESSMENTS IN DECISION MAKING: RISKS AND SAFETY

This chapter overviews the problems of increasing the efficiency of safety and health management of shift workers in offshore oil and gas industry through the prism of the human factor. It studies the specific features of the environment, hazards and risks, working conditions and professional activities in the offshore sector. The fields of safety and health management of personnel employed on offshore oil platforms are highlighted. It is shown that, despite the sufficient elaboration of the knowledge base on health hazards and mechanisms for their elimination in the traditional system of occupational safety and health protection, the safety and health issues related directly to the human factor have not explored so far. The state-of-the-art of the problem of personnel safety and health in the context of the human factor is investigated. The concept of a human-centered approach to personnel safety and health management is proposed, implying the inclusion of employees in the control loop as the main component in their contextual environment. This involves continuous remote monitoring of vital health indicators of employees and, at the same time, parameters of the context-dependent environment of each of them, and an expert assessment of the deviation of these parameters from the norm. Based on IoT technologies and e-health solutions, a functional model of a system for continuous remote monitoring of the health of workers during the period of their shift on offshore oil platforms is developed. The architecture and principles of functioning of a distributed intelligent health management system for shift workers in the offshore industry are proposed.

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Author Biographies

Masuma Mammadova, Institute of Information Technology

Doctor of Technical Sciences, Professor, Head of Department
Department No. 11
http://orcid.org/0000-0002-2205-1023
Corresponding author
E-mail: masumamammadova751@gmail.com

Zarifa Jabrayilova, Institute of Information Technology

Doctor of Technical Sciences, Associate Professor, Senior Researcher
Department No. 11
http://orcid.org/0000-0002-9661-5805

Tetyana Baydyk, National Autonomous University of Mexico

Doctor of Technical Sciences, Professor
Department of Micro and Nanotechnology
Institute of Applied Sciences and Technology
https://orcid.org/0000-0002-3095-2032

Ayten Ahmadova, Institute of Information Technology

Junior Researcher
Department No. 11
https://orcid.org/0000-0003-1355-7425

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