1. Proceedings
  2. I3M
  3. 2020
  4. MAS
  5. 10.46354/i3m.2020.mas.014

Introduction to human error investigation and remedy in oil & gas industry

  • a Antonio Galloro , 
  • b Arturo Bellezza , 
  • c Lidia Marino , 
  • d Diego Amelio  
  • a,b,c,d EniProgetti S.p.A. - Sede Legale in Venezia, Via Pacinotti 4 - Italy
Cite as
Galloro A., Bellezza A., Marino L., Amelio D. (2020). Introduction to human error investigation and remedy in oil & gas industry. Proceedings of the 19th International Conference on Modeling & Applied Simulation (MAS 2020), pp. 107-117. DOI: https://doi.org/10.46354/i3m.2020.mas.014

Abstract

It is proved that most of industrial accidents are related to some kind of human failure, sometimes with catastrophic consequences. The estimation of human error is a contributory factor for many industrial accident occurrences. The present paper refers to human error probability in industrial activities. The paper intends to make a literature revision referring important concepts about human behavior and human reliability. It is fundamental to identify tasks, actions or activities that depend on human behavior or even determine the conditions that influence human error and thus increasing risk. With this target, the most important methods, techniques and tools to assess human failure (error) are referred showing their potential applicability. Secondly, the paper proposes the approach that gives an insight on training quality, with a dedicated focus on virtual reality training, based on which suitable corrective measure can be adopted to decrease human error. Pioneering organizations are using Virtual Reality (VR) to improve productivity and quality of the operations. By combining the strengths of humans and machines, VR will dramatically increase value creation for the organization. The effectiveness of the VR-based training process depends directly on the quality of the prepared training material and on the quality of the prepared virtual training environment, which directly improves learning curve of the trainee. Virtual training is a promising solution to bypass the limitations of hardware training and especially to test and secure production processes in a safe environment. O&G has remarkable interest in applying VR/AR techniques in training, maintenance, operation.

References

  1. Borsci, S., Lawson, G., Jha, B., Burges, M., Salanitri, D., (2016) Effectiveness of a multidevice 3D virtual environment application to train car service maintenance procedures, Virtual Reality (2016) 20:41–55.
  2. De Crescenzio, F., Fantini, M., Persiani, F., Di Stefano, L., Azzari, P. and Salti, S. (2011) Augmented Reality for Aircraft Maintenance Training and Operations Support, Article in IEEE Computer Graphics and Applications.
  3. Di Gironimo, G., Mozzillo, R., Tarallo, A., (2013) From virtual reality to web-based multimedia
    maintenance manuals, Int J Interact Des Manuf 7:183–190, 2013.
  4. Di Pasquale, V., Miranda, S., Iannone, R., Riemma, S., (2015a) A Simulator for Human Error Probability Analysis (SHERPA), Reliability Engineering and System Safety 139 17–32, 2015.
  5. Di Pasquale, V., Miranda, S., Iannone, R., Riemma, S. (2015b) Integration of learning and forgetting processes with the SHERPA model, Conference Paper in Lecture Notes in Computer Science, July 2015.
  6. Di Pasquale, V., Franciosi, C., Iannone R., Malfettone, I., Miranda , S., Human error in industrial
    maintenance: a systematic literature review, XXII Summer School “Francesco Turco” – Industrial
    Systems Engineering.
  7. Ferrise , F., Caruso, G., Bordegoni, M., (2013), Multimodal training and tele-assistance systems
    for the maintenance of industrial products, Virtual and Physical Prototyping, 8:2, 113 -126
  8. Gerbaud, S., Arnaldi, B., (2008) Scenario sharing in a collaborative virtual environment for training, In VRST ’08: Proceedings of the 2008 ACM symposium on Virtual reality software and
    technology, pages 109–112, Bordeaux, France.
  9. Oliveira, A., Caetano, N., Botega, L. and Borges de Araujo, R., (2006) A Head -Up Display with
    Augmented Reality and Gamification for an E-Maintenance System: Using interfaces and
    Gamification to motivate workers in procedural tasks, Heat Mass Transfer 43, pp. 123- 134,
  10. Pallerosi, C. (2008). Confiabilidade Humana: Nova metodologia de Análise Qualitativa eQuantitativa. 6º Simpósio Internacional deConfiabilidade. Florianópolis, Brasil
  11. Schroeder, H., Friedewald, A., Kahlefendt, C., Lödding, H., (2017). Virtual Reality for the Training of Operators in Industry 4.0. IFIP International Conference on Advances in Production Management Systems (APMS), Hamburg, Germany. pp.330 -337
  12. Shamsuzzoha, A., Toshev, R., Tuan, V. V., Kankaanpaa, T. & Helo, P., (2019) Digital factory – virtual reality environments for industrial training and maintenance,
    DOI:10.1080/10494820.2019.1628072.
  13. Sheikhalishahi, M., Pintelon, L., Azadeh, A. , (2016) Human factors in maintenance: a review, Journal of Quality in Maintenance Engineering, Vol. 22 Iss 3 pp 
    http://dx.doi.org/10.1108/JQME-12-2015-0064
  14. Sobrals, J., Understanding Human Error In Industry , (2018) 7th International Symposium on Industrial Engineering,.
  15. Uva, A. E., Gattullo M., Manghisi V. M., Spagnulo D., Cascella G. L., Fiorentino, M. , (2018) Evaluating the effectiveness of spatial augmented reality in smart manufacturing: a solution for manual working stations, Int J Adv Manuf Technol 94:509–521.