Petersilje info 5.2018 | oilandgasgeology

Якорь 1

V.I. Petersil'e, N.V. Komar, S.M. Frenkel'

Methods for the Bazhenov formation reserves assessment

DOI 10.31087/0016-7894-2018-5-51-59

The authors propose an algorithm using the volumetric method for reserves calculation of the Bazhenov Fm in one of the fields within the West Siberian Petroleum Province. It is suggested to consider two reservoir types. 1st type reservoir is a porous reservoir with net thickness determined in accordance with the direct qualitative features on the basis of log and core data. 2nd type reservoir is identified on the basis of PL data in the producing intervals after fracturing or some other stimulation/treatment. Before fracturing, total reservoir thickness over the well is determined basing on the statistically revealed relationship between thickness of 1st and 2nd type reservoirs. Porosity and oil saturation are determined from core and log data. The proposed algorithm allows to identify as reservoirs the permeable intervals characterised by the direct qualitative indicators or inflows in accordance with PLT, instead of lithotypes or beds with certain geochemical features. Reserves calculation in the Bazhenov Fm is possible only when the most advanced methods of site and section exploration using seismic, core, and log data are applied together with the focused formation testing efforts. One cannot hope for success by means of processing a large number of wells with old materials for such a complicated object. The presented reserves assessment algorithm should be considered a purely engineering solution; the authors believe that analysis of all the material complied on the problem allows making a conclusion that today there is still no rigorous solution for reserves assessment in the Bazhenov-type formations.

Key words: reservoir; reserves calculation; Bazhenov formation; oil and gas saturation.

For citation: Petersil'e V.I., Komar N.V., Frenkel' S.M. Methods for the Bazhenov formation reserves assessment. Geologiya nefti i gaza. 2018;(5):51–59. DOI: 10.31087/0016-7894-2018-5-51-59.

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