Reservoir classification based on petrophysical properties of Devonian siliciclastic sediments, Russian Platform, Republic of Bashkortostan

UDK: 55(091)
DOI: 10.24887/0028-2448-2018-4-22-25
Key words: terrigenous and carbonate reservoir, the complex petrophysical studies, reservoir, porosity, permeability, residual water saturation, the study of granulometric and mineralogical composition, petrophysical constants, correlation, lithotypes, facies
Authors: A.M. Nigmatzyanova (BashNIPIneft LLC, RF, Ufa), A.A. Gubaydullina (BashNIPIneft LLC, RF, Ufa), T.V. Burikova (BashNIPIneft LLC, RF, Ufa), A.S. Dushin (BashNIPIneft LLC, RF, Ufa), O.R. Privalova (BashNIPIneft LLC, RF, Ufa), A.N. Chervyakova (BashNIPIneft LLC, RF, Ufa), R.V. Akhmetzyanov (BashNIPIneft LLC, RF, Ufa)

The aim of the authors was to create a database of reference petrophysical information for the sediments of terrigenous strata of Devonian, ranked by areas of petroleum-geological regionalization and productive formations. This database is necessary for reliable estimating the parameters of mature and new fields. Such a database of petrophysical information provide an information on petrophysical heterogeneity, using a single approach, such as in research and analysis of data and will be useful in the justification for using data on deposits-analogues in case of small fields as well as objects without their petrophysical dependencies when creating petrophysical models of oil fields. Additionally, this work is designed to bring together the geological processes involved in the formation of rocks and show how these processes are involved in the formation of the hollow space and heterogeneity of the reservoir properties of the reservoir. The work is based on the sequential study of complex data, including core information, highlighting lithological typing, laboratory core studies, a comparison of selected lithotypes and petrophysical heterogeneity, study of the factors affecting the void space of the reservoir. The work also shows the algorithm of transfer of this ranking petrophysical core data to the division by the well logging data.


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