The paper considers a problem of water saturation determination in the interwell space based on comprehensive analysis of well logging and seismic data, as well as identification of reservoirs with high potential of water breakthrough. The authors analyze relations between elastic parameters and petrophysical properties and saturation, and present procedure for generation of a resistivity cube using a neural network algorithm. Quality assessment has been performed, as well as analysis of production operations effect on input data used for resistivity cube forecasting. The paper presents actual drilling data confirming water saturation forecast made from seismic data. It also demonstrates how the results obtained affect the final geologic model and reserves estimation.
sedimentary deposits, gas field, water producing interval, seismic forecast, neural network
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Sitdikov R.R., AO Rospan International, Novy Urengoy, Russian Federation E-mail:
M.P. Kalashnikova, R.B. Yanevits, N.Yu. Natchuk, R.R. Sitdikov Modelirovanie haraktera nasyshhenija na osnove sejsmicheskogo prognoza petrofizicheskih parametrov (na primere achimovskih otlozhenij mestorozhdenija v JaNAO) [Modeling of saturation behavior based on seismic forecast of petrophysical parameters (on the example of achimov deposits of a field in yanao)]. Neftyanaya Provintsiya, No. 3(19), 2019. pp. 115-128. https://doi.org/10.25689/NP.2019.3.115-128 (in Russian)