Skip to main content
SpringerLink
Log in

A Web-Based Steam Assisted Gravity Drainage (SAGD) Data Visualization and Analytical System

  • Conference paper
  • First Online:
Web and Wireless Geographical Information Systems (W2GIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9080))

  • 661 Accesses

Abstract

To manage the voluminous and complex Steam Assisted Gravity Drainage (SAGD) data and accommodate the spatial and temporal components, a database management system working interactively with a web GIS mapping interface is designed and built. Public and proprietary SAGD data are collected from multiple sources and archived. Multiple spatial layers and flexible spatial queries can help users efficiently target SAGD wells. Furthermore, intuitive and interactive data visualization methods like attribute table, histograms and charts and time-series data viewers, as well as data mining techniques like clustering and association rule mining are implemented in the system for users to explore and comprehend SAGD data and make decisions.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Canadian Energy Research Institute (CERI), http://www.ceri.ca

  2. Butler, R.: SAGD Comes of AGE! Journal of Canadian Petroleum Technology. 37(07), 1–4 (2013)

    Google Scholar 

  3. Alberta Energy Regulator (AER), http://www.aer.ca

  4. Alberta Energy, http://www.energy.alberta.ca

  5. IHS, http://www.ihs.com

  6. Divestco, http://www.divestco.com

  7. GeoLOGIC systems ltd., http://www.geologic.com

  8. Zangl, G., Hannerer, J.: Data Mining: Applications in the Petroleum Industry. Round Oak Pub (2003)

    Google Scholar 

  9. Lienert, C., Weingartner, R., Hurni, L.: An interactive, web-based, real-time hydrological map information system. Hydrological Sciences Journal. 56(1), 1–16 (2011)

    Article  Google Scholar 

  10. Lai, J., Luo, J., Zhang, M.: Design and Realization of the Intangible Cultural Heritage Information Management System Based on Web Map Service. Advances in Information Technology and Industry Applications. 605-612 (2012)

    Google Scholar 

  11. Freyman, W. A., Glennemeier, K. A.: Restoration Map: A Web-based Tool for Spatial and Participatory Adaptive Management of Ecological Restoration Projects. 32(1), 3–6 (2014)

    Google Scholar 

  12. Government of Saskatchewan, http://www.infomaps.gov.sk.ca

  13. PetroFeed Inc., https://www.petrofeed.com/maps

  14. Evans, F., Volz, W., Dorn, G., Fröhlich, B., Roberts, D.M.: Future trends in oil and gas visualization. In: Proceedings of the conference on Visualization 2002 (VIS 2002), pp. 567-570. IEEE Computer Society, Washington, DC (2002)

    Google Scholar 

  15. Jiawei, H., Kamber, M., Jian, P.: Data Mining: Concepts and Techniques. Morgan Kaufman, San Francisco (2001)

    Google Scholar 

  16. Liu, S., Xue, L.: The Application of Fuzzy Clustering to Oil and Gas Evaluation. In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, vol. 3, pp. 644-647. IEEE Press, New York (2008)

    Google Scholar 

  17. Cai, Y., Wang, X., Hu, K., Dong, M.: A Data Mining Approach to Finding Relationships between Reservoir Properties and Oil Production for CHOPS. Computers & Geosciences. 73, 37–47 (2014)

    Article  Google Scholar 

  18. Aulia, A., Keat, T.B., Maulut, M.S., El-Khatib, N., Jasamai, M.: Smart Oilfield Data Mining for Reservoir Analysis. International Journal of Engineering and Technology. 10(6), 78–88 (2010)

    Google Scholar 

  19. Montgomery, E.B., Clark, D.A., Gibson, B.B., Sheptycki, R.J., Batty, I.: The Canadian Unique Well Identifier (1978)

    Google Scholar 

  20. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, pp. 487-499 (1994)

    Google Scholar 

  21. Cenovus, http://www.cenovus.com

Download references

Author information

Authors and Affiliations

  1. Department of Geomatics Engineering, University of Calgary, Calgary, Canada

    Bingjie Wei, Rodrigo Silva & Xin Wang

  2. Department of Computer Engineering, University of Pernambuco, Recife, Brazil

    Rodrigo Silva

Authors
  1. Bingjie Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rodrigo Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xin Wang .

Editor information

Editors and Affiliations

  1. Université Grenoble Alpes, Saint Martin d'Heres, France

    Jérôme Gensel

  2. University of Zurich - Irchel, Zurich, Switzerland

    Martin Tomko

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Wei, B., Silva, R., Wang, X. (2015). A Web-Based Steam Assisted Gravity Drainage (SAGD) Data Visualization and Analytical System. In: Gensel, J., Tomko, M. (eds) Web and Wireless Geographical Information Systems. W2GIS 2015. Lecture Notes in Computer Science(), vol 9080. Springer, Cham. https://doi.org/10.1007/978-3-319-18251-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-18251-3_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18250-6

  • Online ISBN: 978-3-319-18251-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation