Lapkovskiy V.V.

lapkovskiivv@ipgg.sbras.ru




Graduated from Novosibirsk State University (1978), specialization "geology".
PhD in geology and mineralogy.
Head of Laboratory, Institute of Petroleum Geology and Geophysics A.A. Trofimuka SB RAS (INGG SB RAS).
Area of scientific interest: mathematical modeling in the field of oil and gas geology, the laying and filling of sedimentary basins; computer methods for constructing stratigraphic, structural and seismogeological models.
Author of more than 50 publications, the invention "A method of constructing continuous seismic stratigraphic models based on optimal mutual display, a given time (deep) interval of a set of compared seismic traces", patent for the invention No. 2616590 of March 24, 2014
Geological simulation and issues of petroleum fields development
Section editor – PhD in geology and mineralogy Prischepa O.M.
Article # 23_2020 submitted on 05/19/2020 displayed on website on 07/03/2020
13 p.
pdf The ambiguity of correlation as a factor in stochastic modeling of oil and gas fields
In stochastic modeling of oil and gas accumulations, the main sources of uncertainty are associated with the incompleteness of structural information caused by data interpolation errors and inaccuracies in seismic velocity model. Often, porosity, permeability, and the position of phase contacts in reservoirs are represented by random variables with specified types and distribution parameters. There is another type of uncertainty caused by the ambiguity of the cross-well stratigraphic correlation and it has not been studied enough to date, mainly due to the complexity of generating multivariate equivalent correlation models. Based on the technology of automatic correlation of well sections according to their logging data, multivariate modeling of the Botuoba level of the Chayanda field was performed. Empirical distributions of level thicknesses and the position of its boundaries were obtained for the first time. The proposed solution allows to take into account the correlation variability in the stochastic estimation of oil and gas accumulations.

Keywords: stochastic modeling, correlation uncertainty, automatic well correlation, logging, Botuoba level, Chayandа field.
article citation Lapkovskiy V.V. Neodnoznachnost' korrelyatsii kak faktor pri stokhasticheskom modelirovanii zalezhey nefti i gaza [The ambiguity of correlation as a factor in stochastic modeling of oil and gas fields]. Neftegazovaya Geologiya. Teoriya I Praktika, 2020, vol. 15, no. 3, available at: http://www.ngtp.ru/rub/2020/23_2020.html
DOI https://doi.org/10.17353/2070-5379/23_2020
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   Zhang K. Hong Huo H., Chen H, WanX., Liu H., Zhang Ch., Wang Y., Guo S., Meng Z. Improved Stochastic Simulation Using Stratigraphic Forward Modeling: A Case Study of the Lithological Distribution of Tide-Dominated Estuary in JE-AW Oil Field, Ecuador. In: Qu Z., Lin J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. 2019. DOI: https://doi.org/10.1007/978-981-10-7560-5_34
Geological simulation and issues of petroleum fields development
Section editor – PhD in geology and mineralogy Prischepa O.M.
Article # 11_2018 submitted on 02/22/2018 displayed on website on 04/13/2018
17 p.
pdf  Composite well image from log data: technology of creation and application
By analogy with method of the composite photo portrait, propose to create a generalized image of a certain set of wells from their log data. Superposition of individual wells is performed on the base of the correlation model, which allows to form a set of stratigraphically equivalent points. The construction of a stratigraphic model is considered as the solution of a multidimensional optimization problem. The composite well pattern allows quantifying the typical characteristics of formations and stratums and analyzing the individual deviations specific to individual areas or wells. Based on this approach, it is possible to predict the distribution of properties for the projected wells and create three-dimensional models (cubes) of properties of the studied objects.

Keywords: automatic correlation of wells, well log data, composite portrait method, composite well, forecasting section of wells, cubes of properties.
article citation Lapkovskiy V.V., Shmelev N.E., Lunev B.V. Obobshchennyy obraz skvazhiny po karotazhnym dannym: tekhnologiya sozdaniya i primeneniya [Composite well image from log data: technology of creation and application]. Neftegazovaya Geologiya. Teoriya I Praktika, 2018, vol. 13, no. 2, available at: http://www.ngtp.ru/rub/11/11_2018.pdf
DOI https://doi.org/10.17353/2070-5379/11_2018
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