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The Impact of Well Selection on the Results of Petrophysical Modeling and Stochastic Seismic InversionNormal access

Authors: K. Kozlov, A. Radchenko, K. Filippova, I. Nizhegorodova and M. Podberezhny
Event name: Saint Petersburg 2018
Session: Rock Physics and Geomechanics
Publication date: 09 April 2018
DOI: 10.3997/2214-4609.201800185
Organisations: EAGE
Language: Russian
Info: Extended abstract, PDF ( 919.01Kb )
Price: € 20

This paper shows an example of the impact of the well selection on the reliability of the petrophysical model and further reservoir characterization at one of the fields in Western Siberia. The petrophysical model comprises a statistical description of modeled lithotypes in terms of elastic properties and is subsequently used for parameters selection for performing the pre-stack geostatistical seismic inversion. Hence, the errors and uncertainties in petrophysical model entail distortion and lead to an inaccurate result of seismic reservoir characterization. The creation of a petrophysical model was done in two stages. At the first stage wells with a thick oil-saturated reservoir were used for modeling of elastic properties of rocks. Statistics on the water-saturated reservoir was obtained by fluid substitution of oil on water. Detailed analysis of well data showed that the reservoir properties of water-saturated formation differ from oil-saturated. In the second phase, in the petrophysical new wells were added, it significantly improved the results of the stochastic inversion. This fact emphasizes the need for a statistical description of all the lithotypes by well data when you create models for stochastic inversion.

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