Geological Modelling

  • M. Hansen
  • P. Gravesen
Part of the Water Science and Technology Library book series (WSTL, volume 22)


This chapter describes the collection and processing of geological data and the Subsequent establishment of three-dimensional geological models to be used as input to threedimensional hydrogeological modelling.


Geological Data Geological Model Hard Data Borehole Data Hydrogeological Modelling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Almeida, A.S. & Frykman, P. (1995) Geostatistical Modelling of Chalk Reservoir Properties in the Dan Field, Danish North Sea. In Yarns, J.M. & Chambers, R.L. (Editors), “Stochastic Modelling and Geostatistics; Principles, Methods and Case Studies”, AAPG Special Publication.Google Scholar
  2. Anderson, M.P. (1989) Hydrogeologic fades models to delineate large-scale spatial trends in glacial and glaciojluvial sediments. Bull. Geol. Soc. America, vol 101, pp. 501–511.CrossRefGoogle Scholar
  3. Anderson, M.P. (1990) Aquifer Heterogeneity; A Geological Perspective. Proceedings, Fifth Canadian American Conference on Hydrology, Calgary, Alberta Research Council and National Ground Water Assoc. S. Bachu (ed.), pp. 3-22.Google Scholar
  4. Auken, E., Christensen, N.B., Sorensen, K.I. & Effersø, F. (1994) Large scale Hydrogeological Investigation in the Beder Area: A Case Study. Proceedings of the symposium on the Application of Geophysics to Engineering and Environmental problems, Boston, USA, pp. 615-628.Google Scholar
  5. Begg, S.H., Kay. A. Gustason, E.R. & Angert, P.F. (1994) Characterization of Complex Fluvial-Deltaic Reservoir for Simulation. Abstract in Stanford Center for Reservoir Forecasting, Report 7, May 1994.Google Scholar
  6. Bratvold, R.B. & Waagbo. K. (1994) STORM: Integrated 3D stochastic Reservoir Modelling Tool for Geologist and Reservoir Engineers. Stanford Center for Reservoir Forecasting, Report 7 May 1994.Google Scholar
  7. Christensen, N.B. & Sørensen, K.I. (1994) Integrated use of electromagnetic methods for hydrogeological investigations. Proceedings of the symposium on the Application of Geophysics to Engineering and Environmental Problems, Boston, USA, pp. 163-176.Google Scholar
  8. Clayton, V.D. & Journel A.G. (1992) GSLIB: Geostatistical Software Library and User’s Guide. Oxford University Press. ISBN 0-19-507392-4. 340 p..Google Scholar
  9. Davis, M. (1977) Geostatistical Ore Reserve Estimation. Elsevier. Amsterdam.Google Scholar
  10. DGU & GI (1992) Øresund - landanlceg Amager; Hydrogeologiske vurderinger 1992. Geological Survey of Denmark (DGU 073-023) and Danish Geotecnical Institute (GI 154-07056), 72 p. (In Danish).Google Scholar
  11. DHI (1993) MIKE SHE WM- A short description. Danish Hydraulic Institute.Google Scholar
  12. Eyles, N., Eyles, C.H. & Miall, A.D. (1983) Lithofacies types and vertical profile models: an alternative approach to the description and environmental interpretation of glacial diamict and diamict sequences. Sedimentology, vol 30, pp. 393–410.CrossRefGoogle Scholar
  13. Froidevaux, R. (1988) Geostat Toolbox. PC programme. Stanford University, 101 p.Google Scholar
  14. Galli, A., Guerillot, D., Ravenne, C. & HERESIM Group (1990) Combining Geology, geostatistics and Multiphase Fluid Flow for 3D Reservoir Studies. In: 2nd European Conference on the Mathematics of Oil Recovery, Guérillot, D. & Guillon, O. (Editors) and Éditions Technip, Paris 1990, pp. 11 – 19.Google Scholar
  15. Gómez-Hernandez, J. & Srivastava, R.M. (1990) ISIM3D: An ANSI-C three dimensional multiple indicator conditional simulation program. Computers & Geosciences, 16(4) pp. 395–440.CrossRefGoogle Scholar
  16. Gravesen, P. (1994) Modelling of the aquifers at Grundfør and Hinnerup, Eastern Jutland, Denmark-Traditional Approach and Geological Variability. Nordic Hydrological Conference, NHP-Report no. 34, pp. 305-314.Google Scholar
  17. Gravesen, P. & Fredericia, J. (1984) ZEUS-geodatabase system. Borearkivet. Danm. Geol. Unders. Serie D no. 3 1984 (in Danish but with English code terms) 259 p..Google Scholar
  18. Gravesen, P., Kelstrup, N. & Leth, J. (1995) Geological models in engineering geology: Data and process. Proceedings Eleventh European Conference on Soil Mechanics and Foundation Engineering, Copenhagen. The Interplay between Geotechnical Engineering and Engineering Geology, Bull. Danish Geotech. Soc., 11, vol. 6, pp. 39–44.Google Scholar
  19. Hansen, M. (1987) En kvartcergeologisk beskrivelse Ærø. Unpublished master thesis. Geological Institute. University of Copenhagen (in Danish), 86 p..Google Scholar
  20. Hansen, M. (1992) PC Zeus; Vejledning i anvendelse af PC Zeus. Danm. Geol. Unders. (in Danish), 90 p..Google Scholar
  21. Hansen, M. (1994) Stochastic Modelling of Quaternary Settings. Nordic Hydrological Conference, NHPReport no. 34, pp. 407-414.Google Scholar
  22. Hansen, M. (1995) ImageX; A PC programme for visualizing large 3-dimensional matrices (up to 107 cells). Submitted to Computers & Geosciences in July 1995.Google Scholar
  23. Isaaks, H.E. & Srivastava, M.R. (1989) An Introduction to Applied Geostastitics. Oxford University Press, Inc. ISBN 0-12-208916-2. 440 p..Google Scholar
  24. Journel, A.G. (1974) Geostatistics for Conditional Simulation of Ore Bodies. Economic Geology, 69(5) pp. 673–687.CrossRefGoogle Scholar
  25. Journel, A.G. & Huijbregts, C.J. (1987) Mine Geostatistics. Academic Press, New York.Google Scholar
  26. de Marsily, G. (1986) Quantitative Groundwater Hydrology for Engineers. Academic Press, Inc. ISBN 0-12-208916-2 440 p..Google Scholar
  27. Miall, A.D. (1977) A review of the braided river depositional environment. Earth-Science Reviews, vol 13, pp. 1–62.CrossRefGoogle Scholar
  28. Miall, A.D. (1985) Architectural-element analysis. A new method of facies analysis applied to fluvial deposits. Earth-Science Reviews, vol 22, pp. 261–308.CrossRefGoogle Scholar
  29. Miall, A.D. & Tyler, N. (1991) The Three-Dimensional Facies Architecture of Terrigenous Clastic Sediments and Its Implications for Hydrocarbon Discovery and Recovery. Soc. Sed. Geol., Concepts in Sedimentology and Palaeontology, vol 3, 309 p..Google Scholar
  30. Neton, M.J., Dorsch, J., Olson, C.D. & Young, S.C. (1994) Architecture and directional scales of heterogeneity in alluvial-fan aquifers. J. Sed. Research, volB64, no. 2, pp. 245–257.Google Scholar
  31. Pannatier, Y. (1993) PREVAR2D, VARI02DP, & MODEL: Three PC programs for 2-dimensional variograms modelling. Institute of Mineralogy, University of Lausanne, BFSH 2, 1015 Lausanne, Switzerland, E-Mail: Scholar
  32. Poeter, E. & Gaylord, D.R. (1990) Influence of Aquifer Heterogeneity on contaminant Transport at the Hanford Site. Ground Water, vol 28, no.6, pp. 90–909.CrossRefGoogle Scholar
  33. (RC)2 (1994) (RC)2 Reservoir Characterization Research and Consulting, Inc. 3790 El Camino Real, Suite 316, Palo Alto, CA 94360.Google Scholar
  34. Ribeiro, L. (1993) Evaluating the Uncertainty of Leakage Rates ofTejo and Sado Groundwater System. In Soares, A (Editor), Geostatistics Troia Ņ92 Volume 2, Quantitative Geology and Geostatistics, Kluvwer Avademic Publisher, ISBN 0-7923-2156-1, 1088 p..Google Scholar
  35. Ritzi, R.W. Jr., Dale, J.F., Zahradnik, A.J. Jr., Field, A.A. & Fogg, G.E., (1994) Geostatistical Modeling of Heterogeneity in Glaciofluvial, Buried-Valey Aquifers. Ground Water, vol 32, no. 4, pp. 666–674.CrossRefGoogle Scholar
  36. Schafmeister, M.-Th. & Pekdeger, A. (1993) Spatial structure of Hydraulic Conductivity in Various Porous Media - Problem and Experiance. In Soares, A (Editor), Geostatistics Tróia Ņ92 Volume 2, Quantitative Geology and Geostatistics, Kluvwer Avademic Publisher, ISBN 0-7923-2156-1, 1088 p..Google Scholar
  37. Spyglass (1994) Slicer; The Quickest Tool for Visualizing Volumetric Data. Spyglass, Inc. P.O. Bax 6388, Champaign, IL 61862. E-Mail, 146 p..Google Scholar
  38. Tillman, R.W. & Weber, K.J. (eds.), (1987) Reservoir sedimentology. Soc. Econ. Pal. Min. Sp. Pub. No. 40, 357 p..Google Scholar
  39. Tyler, K.J. (1994) Heterogenics: Challenges in Reservoir Management. Doctor theses Hogskolen i Stavanger, Norway. Skrifter nr. 9/1994, 61 p..Google Scholar
  40. Tyler, K.J., Svanes, T. & Henriquez, A. (1994) Heterogenity Modelling Usedfor Production Simulation of a Fluvial Reservoir. SPE Formation Evaluation, June 1994. pp. 85-92.Google Scholar
  41. Webb, E.K. (1994) Simulating the three-dimensional Distribution of Sediments Units in Braided-Stream Deposits. J. Sed. Research,Vol.B64,No. 2, May, 1994, pp. 219–231.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • M. Hansen
    • 1
  • P. Gravesen
    • 1
  1. 1.Geological Survey of Denmark and GreenlandDenmark

Personalised recommendations