Real-Time Eye-Tracking System to Evaluate and Enhance Situation Awareness and Process Safety in Drilling Operations
- Raj Kiran (School of Petroleum and Geological Engineering, University of Oklahoma) | Saeed Salehi (School of Petroleum and Geological Engineering, University of Oklahoma) | Jiwon Jeon (Department of Industrial & System Engineering, University of Oklahoma) | Ziho Kang (Department of Industrial & System Engineering, University of Oklahoma)
- Document ID
- Society of Petroleum Engineers
- IADC/SPE Drilling Conference and Exhibition, 6-8 March, Fort Worth, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. IADC/SPE Drilling Conference and Exhibition
- 1.10.5 Offshore Drilling Units, 1.10 Drilling Equipment, 7 Management and Information, 1.6 Drilling Operations, 6.3 Safety, 7.2 Risk Management and Decision-Making, 4.5 Offshore Facilities and Subsea Systems, 6.3.5 Process Safety, 1.10 Drilling Equipment, 7.2.1 Risk, Uncertainty and Risk Assessment
- Situation Awareness, Process Safety, Eye Tracking
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- 157 since 2007
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Lack of situational awareness in drilling operations has become an important factor in causing safety accidents or cause of non-productive time. Process safety is another critical aspect for such high risk operations and cannot be ignored. A review of testimony from offshore rigs worker suggests long working shifts and fatigue as one of the crucial issues impacting performance.
The study here presents results from experiments conducted in a Virtual Reality Drilling Simulator (VRDS) equipped with eye tracking technology. The eye tracking technology can be used to distinguish between less and more aware/alert participants which is most of the times related to fatigue or onsite distraction. The ocular activity can be used to obtain visual cues that can quantify the state of drilling operator while operating. These cues can help in generating some warning alarms to alert the driller. Therefore, the system can reduce not only accidents but can also save a tremendous amount of non-productive time by improving their efficiency. Since human eyes express the most direct reaction during less alert or distracted mental state, ocular activity data has been used as the basis for quantification of situation awareness by researchers. In recent years, eye tracking system has been developed in the form of static and dynamic devices. The camera installed in these devices capture different characteristics of the participants' ocular movement in real-time. These oculomotor data such as eye fixation count and duration and pupil size, has been implemented in several industries such as aviation and medical to assess the performance of participants in recent years.
In this paper, we use eye tracking techniques for investigation of alertness and awareness of participants while conducting different drilling operations on the simulator. Results obtained from this study indicate that the system can detect the distraction and alertness exhibited by humans. The results show the very promising application of this technology on the drilling rigs. The novelty in this work is the development of framework for implementation of real-time eye tracking technology in various drilling operations such as drilling rigs and Real Time Operation Centers (RTOCs).
|File Size||1 MB||Number of Pages||19|
Booth, J. E. & Hebert, J. W. (1989, January 1). Support of Drilling Operations Using a Central Computer and Communications Facility With Real-Time MWD Capability and Networked Personal Computers. Society of Petroleum Engineers. doi:10.2118/19127-MS
BSEE report, 2017. Early Kick Detection BAST Technology Assessment. Published on January 24, 2017 on website https://www.bsee.gov/sites/bsee.gov/files/bast_ekd_tio_pub_notice.pdf
Foreman, R. D. (1985, January 1). The Drilling Command and Control System. Society of Petroleum Engineers. doi:10.2118/14387-MS
Helbren, E., Halligan, S., Phillips, P., Boone, D., Fanshawe, T. R., Taylor, S. A., Manning, D., Gale, A., Altman, D. G. & Mallett, S. (2014). Towards a framework for analysis of eye-tracking studies in the three dimensional environment: a study of visual search by experienced readers of endoluminal CT colonography. The British journal of radiology, 87 (1037), p.20130614.
Kang, Z. (2017) Research. Ziho Kang | Cognitive Engineering and Decision Making Laboratory. Available at: https://humanfactors.oucreate.com/research.html?r [Accessed December 5, 2017].
NorskOlje&Gass Report (2017). Sharing to be better #1, Well control incident in 9,5 inch section. [online] Norskoljeoggass.no. Available at: https://www.norskoljeoggass.no/en/Activities/HSE-and-operation/Sharing-to-be-better/Sharing-to-be-better/ [Accessed 15 Sep. 2017].
Simon, P., Rousseau, F. & Angue, J. C. (1993). October. Quantitative analysis of mental workload influence on eye scanning movements. In Systems, Man and Cybernetics, 1993.‘Systems Engineering in the Service of Humans’, Conference Proceedings. International Conference on (Vol. 4, pp. 707–712). IEEE.
Thorogood, J. L. (2015, March 17). The Macondo Inflow Test Decision: Implications for Well Control and Non-technical Skills Training. Society of Petroleum Engineers. doi:10.2118/173123-MS.
Tobii Technology, 2010. Tobii Eye Tracking. An Introduction to Eye Tracking and Tobii Eye Trackers. http://www.tobii.com/eye-tracking-research/global/library/white-papers/tobii-eye-tracking-white-paper/.
Ursem, L. J., Williams, J. H., Pellerin, N. M. & Kaminski, D. H. (2003, January 1). Real Time Operations Centers; The people aspects of Drilling Decision Making. Society of Petroleum Engineers. doi:10.2118/79893-MS