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Geostatistical Simulation of Hydrofacies Heterogeneity of the West Thessaly Aquifer Systems in Greece

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Abstract

Integrating geological properties, such as relative positions and proportions of different hydrofacies, is of highest importance in order to render realistic geological patterns. Sequential indicator simulation (SIS) and Plurigaussian simulation (PS) are alternative methods for conceptual and deterministic modeling for the characterization of hydrofacies distribution. In this work, we studied the spatial differentiation of hydrofacies in the alluvial aquifer system of West Thessaly basin in Greece. For this, we applied both SIS and PS techniques to an extensive set of borehole data from that basin. Histograms of model versus experimental hydrofacies proportions and indicative cross sections were plotted in order to validate the results. The PS technique was shown to be more effective in reproducing the spatial characteristics of the different hydrofacies and their distribution across the study area. In addition, the permeability differentiations reflected in the PS model are in accordance to known heterogeneities of the aquifer capacity.

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References

  • Alabert, F. G. (1987). Stochastic imaging of spatial distributions using hard and soft data. M.Sc. Dissertation, Department of Applied Earth Sciences, Stanford University, 198 pp.

  • Apostolidis, E., & Georgiou, H. (2007). Geotechnical research of the surface ground ruptures in Thessaly basin sites, recording and documentation. Institute of Geology and Mineral Exploration (IGME), Unpublished report (in Greek).

  • Armstrong, M., Galli, A., Beucher, H., Le Loc’h, G., Renard, D., Doligez, B., et al. (2011). Plurigaussian simulations in geosciences. Berlin: Springer.

    Book  Google Scholar 

  • Bierkens, M. F. P., & Burrough, P. A. (1993). The indicator approach to categorical soil data. I. Theory. Journal of Soil Sciences, 44, 361–368.

    Article  Google Scholar 

  • Bornovas, I., Philippakis N., & Bizon G., (1969). Geological map of Greece—Farsala sheet, Institute for Geology and Mineral Exploration (IGME).

  • Chiles, J. P., & Delfiner, P. (1999). Geostatistics: Modelling spatial uncertainty. New York: Wiley.

    Book  Google Scholar 

  • Deutsch, C. V. (2006). A sequential indicator simulation program for categorical variables with point and block data: BlockSIS. Computers & Geosciences, 32, 1669–1681.

    Article  Google Scholar 

  • Deutsch, C. V., & Journel, A. G. (1997). GSLIB: Geostatistical software library and user’s guide (Applied geostatistics series) (2nd ed.). New York: Oxford University Press.

    Google Scholar 

  • Emery, X. (2004). Properties and limitations of sequential indicator simulation. Stochastic Environmental Research and Risk Assessment, 18, 414–424.

    Article  Google Scholar 

  • Falivene, O., Cabrera, L., Muñoz, J. A., Arbués, P., Fernández, O., & Sáez, A. (2007). Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples. Geologica Acta, 5, 199–230.

    Google Scholar 

  • Galli, A., Beucher, H., Le Loc’h, G., Doligez, B., & the Heresim Group. (1994). The pros and cons of the truncated Gaussian method. In: M. Armstrong & P. Dowd (Eds.), Geostatistical Simulations: Proceedings of the Geostatistical Workshop, Fontainebleau, France (pp. 217–233). Dordrecht: Kluwer Academic Publishers.

  • Gomez-Hernandez, J. J., & Srivastava, R. M. (1990). ISIM3D: An ANSI-C three dimensional multiple indicator conditional simulation program. Computers & Geosciences, 16, 395–410.

    Article  Google Scholar 

  • Goovaerts, P. (1994). Comparative performance of indicator algorithms for modeling conditional probability distribution functions. Mathematical Geology, 26, 385–410.

    Google Scholar 

  • Goovaerts, P. (1997). Geostatistics for natural resources evaluation (p. 496). New York: Oxford University Press.

    Google Scholar 

  • Journel, A. G., & Alabert, F. (1990). New method for reservoir mapping. Journal of Petroleum Technology, SPE paper 20781.

  • Journel, A. G., & Huijbregts, Ch J. (1978). Mining geostatistics. London: Academic Press.

    Google Scholar 

  • Kallergis, G. (1973). Hydrogeological study in sub-basin of Kalampaka (Western Thessaly). Institute of Geology and Mineral Exploration (IGME), Vol. XIV, Νο. 1, Athens, Unpublished report (in Greek).

  • Kerrou, J., Renard, P., Hendricks-Franssen, H.-J., & Lunati, I. (2007). Issues in characterizing heterogeneity and connectivity in non-multi-Gaussian media. Advances in Water Resources, 31, 147–159.

    Article  Google Scholar 

  • Koike, K., & Matsuda, S. (2005). Spatial modeling of discontinuous geologic attributes with geotechnical applications. Engineering Geology, 78, 143–161.

    Article  Google Scholar 

  • Koike, K., Sakamoto, H., & Ohmi, M. (2001). Detection and hydrologic modeling of aquifers in unconsolidated alluvial plains through combination of borehole data sets: A case study of the Arao Area, Southwest Japan. Engineering Geology, 62, 301–317.

    Article  Google Scholar 

  • Komnitsas, K., & Modis, K. (2006). Soil risk assessment of As and Zn contamination in a coal mining region using geostatistics. Science of the Total Environment, 371, 190–196.

    Article  Google Scholar 

  • Le Loc’h, G., Beucher, H., Galli, A., Doligez, B., & the Heresim Group. (1994). Improvement in the truncated gaussian method: Combining several Gaussian functions. ECMOR IV: 4th European Conference on the Mathematics of Oil Recovery, Roros, Norway, Conference Proceedings, 13 pp.

  • Mariethoz, G., Renard, P., Cornaton, F., & Jaquet, O. (2009). Truncated plurigaussian simulations to characterize aquifer heterogeneity. Ground Water, 47, 13–24.

    Article  Google Scholar 

  • Marinos, P., Perleros, V., & Kavadas, M. (1997). Deposited and karsic aquifers of Thessaly plain. New data for the status of their overexploitation. In Proceedings of the 4th Hydrogeological Congress, Athens (in Greek).

  • Marinos, P., Thanos, M., Perleros, V., & Kavadas, M. (1995). Water dynamic of Thessaly basin and the consequences from its overexploitation. Proceedings of the 3rd Hydrogeological Congress, Heraklion, Crete (in Greek).

  • Mariolakos, H., Lekkas, S., Papadopoulos, T., Alexopoulos, A., Spyridonos, E., Mandekas, Ι., & Andreadakis, E. (2001). Underground tectonic structure in Farsala plain (Thessaly) as a determinative factor of the formation of the hydrogeological conditions of the area. In Proceedings of the 9th Congress of Greek Geological Society (in Greek).

  • Matheron, G. (1965). Les variables regionalisees et leur estimation. Paris: Masson.

    Google Scholar 

  • Matheron, G., Beucher, H., de Fouquet, C., Galli, A., Guerillot, D., & Ravenne, C. (1987). Conditional simulation of the geometry of fluvio-deltaic reservoirs. SPE 1987 Annual technical conference and exhibition, Dallas, Texas, pp. 591–599. SPE 16753.

  • Ministry of National Economy - General Direction of Agriculture. (1973). Execution of 200 boreholes for the groundwater development in Thessaly, Unpublished report, Athens, Greece.

  • Modis, K., Stavrou, S., Terezopoulos, N., & Vattis, D. (2008). Geostatistics versus inverse distance squares in ore reserves estimation: Comparative case study in copper ore body in Cyprus. Mining Technology, 117, 48–52.

    Article  Google Scholar 

  • Rozos, D., Sideri, D., Loupasakis, C., & Aposolidis, E. (2010). Land subsidence due to excessive ground water withdrawal. A case study from Stavros—Farsala Site, West Thessaly Greece. In Proceedings of the 12th International Congress, Patras, Greece.

  • Rozos, D., & Tzitziras, A. (2002). Report of the Engineering geological examination of ground water in Farsala area. Institute of Geology and Mineral Exploration (IGME), Unpublished report (in Greek).

  • Soares, A. (2001). Direct sequential simulation and cosimulation. Mathematical Geology, 33, 911–926.

    Article  Google Scholar 

  • SOGREAH SA (1974). Groundwater development project of the plain of Thessaly. Republic of Greece, Ministry of Agriculture, Directorate General of Agricultural Development and Research Land Reclamation Service, Athens.

  • Stafleu, J., Maljers, D., Gunnink, J. L., Menkovic, A., & Busschers, F. S. (2011). 3D modelling of the shallow subsurface of Zealand, The Netherlands. Netherlands Journal of Geosciences, 90, 293–310.

    Google Scholar 

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Acknowledgments

We acknowledge Edafos S.A., Ferrovial Agroman S.A., and HellasLab for the supply of all necessary borehole data for the analysis.We also thank the two anonymous reviewers and the Editor-in-Chief, who made critical reviews and detailed comments and gave us the opportunity to substantially improve the original manuscript.

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Modis, K., Sideri, D. Geostatistical Simulation of Hydrofacies Heterogeneity of the West Thessaly Aquifer Systems in Greece. Nat Resour Res 22, 123–138 (2013). https://doi.org/10.1007/s11053-013-9200-1

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