Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Open Geosciences

formerly Central European Journal of Geosciences

Editor-in-Chief: Jankowski, Piotr

1 Issue per year


IMPACT FACTOR 2016 (Open Geosciences): 0.475

CiteScore 2016: 0.87

SCImago Journal Rank (SJR) 2016: 0.346
Source Normalized Impact per Paper (SNIP) 2016: 0.690

Open Access
Online
ISSN
2391-5447
See all formats and pricing
More options …

Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia

Amir Torghabeh / Reza Rezaee / Reza Moussavi-Harami / Biswajeet Pradhan / Mohammad Kamali / Ali Kadkhodaie-Ilkhchi
Published Online: 2014-08-06 | DOI: https://doi.org/10.2478/s13533-012-0177-9

Abstract

Identifying reservoir electrofacies has an important role in determining hydrocarbon bearing intervals. In this study, electrofacies of the Kockatea Formation in the Perth Basin were determined via cluster analysis. In this method, distance data were initially calculated and then connected spatially by using a linkage function. The dendrogram function was used to extract the cluster tree for formations over the study area. Input logs were sonic log (DT), gamma ray log (GR), resistivity log (IND), and spontaneous potential (SP). A total of 30 reservoir electrofacies were identified within this formation. Integrated geochemical and petrophysics data showed that zones with electrofacies 3, 4, 9, and 10 have potential for shale gas production. In addition, the results showed that cluster analysis is a precise, rapid, and cost-effective method for zoning reservoirs and determining electrofacies in hydrocarbon reservoirs.

Keywords: electrofacies; cluster analysis; gas shale; Kockatea shale; Perth Basin

  • [1] Singh P., Lithofacies and Sequence Stratigraphic Framework of the Barnett Shale. Northeast Texas, The University of Oklahoma, Norman, Oklahoma, 2008 Google Scholar

  • [2] GWPC (Ground Water Protection Council) Report, Modern shale gas development in the United States: A Primer. GWPC, Oklahoma City, 2009 Google Scholar

  • [3] Busch, J. M., Fortney, W. G., and Berry, L. N., Determination of lithology from well logs by statistical analysis. Society of Petroleum Engineers Formation Evaluation, 2, 412–418, 1987 http://dx.doi.org/10.2118/14301-PACrossrefGoogle Scholar

  • [4] Sancevero, S. S., Remacre, A. Z., Vidal, A. C., and Portugal, R. S., Aplicação de técnicas de estatística multivariada na identificação da litologia de perfis geofísicos de poços. Revista Brasileira de Geociências, 38, 61–74, 2008 Google Scholar

  • [5] Mory, A. J., and Iasky, R. P., Stratigraphy and structure of the onshore northern Perth Basin, Report 46, Western Australia: Western Australia Geological Survey, Report 46, 1996 Google Scholar

  • [6] Geoscience Australia web page, Perth Basin. Government of Australia, 2012. http://www.ga.gov.au/energy/province-sedimentary-basin-geology/petroleum/offhshore-southwest-australia/perth-basin.html (accessed October 19th 2012) Google Scholar

  • [7] Jones D. K., Perth Basin. In: Leslie R. B., Evans H. J. and Knight C. L., Economic geology of Australia and Papua New Guinea Australasian Institute of Mining and Metallurgy, Monograph 7, 1976, 108–126 Google Scholar

  • [8] Cadman S. J., Pain L. and Vuckovic V., Perth Basin, W. A., Australian Petroleum Accumulations, Report 10, Bureau of Resource Sciences, Canberra, 1994 Google Scholar

  • [9] Crostella A., An evaluation of the hydrocarbon potential of the onshore northern Perth Basin: Western Australia Geological Survey, Report 43, 1995, 67 Google Scholar

  • [10] Playford P. E., Cockbain A. E. and Low G. H., Geology of the Perth Basin, Western Australia, Geological Survey of Western Australia, Bulletin 124, 1976 Google Scholar

  • [11] Mooi E. and Sarstedt M., A Concise Guide to Market Research, Springer-Verlag Berlin Heidelberg, 238–284 2011 http://dx.doi.org/10.1007/978-3-642-12541-6CrossrefGoogle Scholar

  • [12] Euzen, T., Power, M. R., Well log cluster analysis and electrofacies classification: a probabilistic approach for integrating log with mineralogical data. Geoconvention, Canadian Society of Petrole-Geologists,3p. http://www.cspg.org/documents/Conventions/Archives/Annual/2012/275_GC2012_Well_Log_Cluster_Analysis.pdf, 2012 Google Scholar

  • [13] Kuroda, M. C., Vidal, A. C., Leite, E. P., Electrofacies characterization using self-organized maps, Rev. Bras Geofísica, 30(3), 2012, 287–299 Google Scholar

  • [14] Zee Ma, Y., Lithofacies Clustering Using Principal Component Analysis and Neural Network: Applications to Wireline Logs, Mathematical Geosciences, 43(4), 2011, 401–419 http://dx.doi.org/10.1007/s11004-011-9335-8CrossrefGoogle Scholar

  • [15] Euzen, T., Delamaide, E., Feuchtwanger, T., and Kingsmith, K. D., Well Log Cluster Analysis: An Innovative Tool for Unconventional Exploration. In CSUG/SPE 137822 (Ed.), Canadian Unconventional Resources & International Petroleum Conference held in Calgary, Alberta, Canada, 19–21 October 2010. Google Scholar

  • [16] Shin J.Y. and Philippe R., A new tool for electro-facies analysis: Multi-Resolution Graph Based Clustering. SPWLA 41st Annual Logging Symposium, 2000 Google Scholar

  • [17] Kochenov A.V. and G. N. Baturin., The paragenesis of organic matter, Phosphorous and Uranium in Marine sediments, Lithology and Mineral Res.,37, 2002, 2 Google Scholar

  • [18] Bohacs K. and Schwalbach J., Sequence stratigraphy of fine-grained rocks with special reference to the Monterey Formation, Pacific Section, 70, 1992, 7–19 Google Scholar

  • [19] Passey Q. R., Bohacs K. M., Esch W. L., Klimentidis R and Sinha S. 2010 From oil-prone source rock to gas-producing shale reservoir. Geologic and petrophysical characterization of unconventional shale gas reservoirs, Beijing, China: SPE 131350, 2010 Google Scholar

About the article

Published Online: 2014-08-06

Published in Print: 2014-09-01


Citation Information: Open Geosciences, ISSN (Online) 2391-5447, DOI: https://doi.org/10.2478/s13533-012-0177-9.

Export Citation

© 2014 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

Comments (0)

Please log in or register to comment.
Log in