The goal of this paper is to determine a new approach for high efficient reservoir characterization by predicting dynamic petrophysical properties. In this study, by analyzing core and well log data, the effective porosity log for a productive member of Zechstein formation in four wells was determined. This member is mainly carbonate and counted as one of the producing horizons in North Sea. The variation of effective porosity versus acoustic impedance, as the bridge between seismic surveying and petrophysical properties have studied, and a meaningful trend between two properties observed .By applying genetic inversion, this trend extended to volume of seismic data. The result of this procedure confirmed by seismic attribute analysis.


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  1. Gardner, G.H.F., Wyllie, M.R.J. and Droschak, D.M.
    [1964] Effects of pressure and fluid saturation on the attenuation of elastic waves in sands. J. Petrol. Tech., 16, 189–198.
    [Google Scholar]
  2. Kozhevnikov, D., Kovalenko, K. and Deshenenkov, I.S.
    [2012] The Adaptive Well Log Data Interpretation in Geological Modeling. SPE Europec/EAGE Annual Conference, 4–7 June, Copenhagen, Denmark, SPE-152463-MS.
    [Google Scholar]
  3. Kozhevnikov, D., Kovalenko, K., Deshenenkov, I.S. and Petrov, A.N.
    [2012] The Estimation of Filtration Reservoir Properties with Log Data. SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition, 16–18 October, Moscow, Russia, SPE-160577-MS.
    [Google Scholar]
  4. Pavlova, M.A. and Reid, I.
    [2010] Geophysical inversion of 3d seismic data in panax's limestone coast geothermal project to determine reservoir porosity. World Geothermal Congress, Bali, Indonesia.
    [Google Scholar]
  5. Priezzhev, I.I., Shmaryan, L.E. and Bejarano, G.
    [2008] Nonlinear multitrace seismic inversion using neural network and genetic algorithm -"Genetic Inversion". Saint Petersburg 2008, Russia, 7–10 April, Extended Abstracts, A016.
    [Google Scholar]
  6. Priezzhev, I., Shmaryan, L. and Veeken, P.C.H.
    [2009] Genetic Seismic Inversion Using a Non-linear, Multi-trace Reservoir Modeling Approach. 71st EAGE Conference & Exhibition, Amsterdam, The Netherlands, 8–11 June, Extended Abstracts, P018.
    [Google Scholar]

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