Skip to main content

Value Potential of Expert Systems for Offshore Oil and Gas Assets from a Maintenance Perspective: A Case from Norway With Respect to Integrated Operations

  • Conference paper
  • First Online:
Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012)

Abstract

Expert systems (ES) broaden the possibilities for solving complex practical challenges, providing quick decision support, particularly when operations become complicated and collaborative. Such systems can contribute to improve overall technical integrity of offshore asset, subsequently creating value for oil and gas (O&G) companies. Consequently, this paper summarizes the results of the data collected through multiple case studies to investigate how sophisticated tools and technologies, such as ES, can contribute to improve the technical integrity of assets and add value to the Norwegian continental shelf (NCS) under the new operating environment known as integrated operation (IO). The paper highlights the potential of ES to be effectively deployed for real-time decision-making, enhancing predictive/dynamic maintenance capabilities, improving equipment reliability and availability, and optimizing work planning and resource allocation. Given the practical complexities of IO, the paper also identifies potential challenges, obstacles, and factors in the use of such advanced applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 199.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Norwegian University of Science and Technology (n.d.) Center for Integrated Operations in the Petroleum Industry. Available at http://www.ntnu.edu/iocenter. Accessed Apr 2012

  2. Norwegian Oil Industry Association (2005) Integrated work processes: future work processes on the Norwegian continental shelf. Stavanger

    Google Scholar 

  3. Liyanage J (2008) Integrated eOperations—eMaintenance: applications in North Sea offshore assets. In: Murthy D, Kobbacy K (eds) Complex system maintenance handbook. Springer, London, pp 585–610

    Google Scholar 

  4. Badiru A, Cheung J (2002) Fuzzy engineering expert systems with neural network applications. Wiley, New York

    Google Scholar 

  5. Siler W, Buckley J (2005) Fuzzy expert systems and fuzzy reasoning. Wiley, New York

    Google Scholar 

  6. Noran O (n.d.) The evolution of expert systems. Available at http://www.ict.griffith.edu.au/noran/Docs/ES-Evolution.pdf. Accessed Apr 2012

  7. Krishnamoorthy C, Rajeev S (1996) Artificial intelligence and expert systems for engineers. CRC Press, Boca Raton

    Google Scholar 

  8. Bassiliades N, Vlahavas I (2000) Active knowledge-based systems. In: Leondes CT (ed) Knowledged-based system: techniques and applications, Academic Press, USA, pp 1–34

    Google Scholar 

  9. Dwyer J, Chmela W, Lamborn R, Colomb C, Quinn T (2008) Real-time connectivity and potential benefits to Appalachian operations, in SPE eastern regional/AAPG eastern section joint meeting. Pittsburg, Pennsylvania

    Google Scholar 

Download references

Acknowledgments

We would like to acknowledge all contributors to this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nii Nortey B. C. Lokko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Lokko, N.N.B.C., Raza, J., Liyanage, J.P. (2015). Value Potential of Expert Systems for Offshore Oil and Gas Assets from a Maintenance Perspective: A Case from Norway With Respect to Integrated Operations. In: Lee, W., Choi, B., Ma, L., Mathew, J. (eds) Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-06966-1_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06966-1_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02461-5

  • Online ISBN: 978-3-319-06966-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics