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2019/1
Petrophysical Model of Dependence between Resistivity Saturation Factor and Normalized Effective Porosity
Geosciences

Authors: Kazimir V. KOVALENKO is Doctor of Geological and Mineralogical Sciences, Professor of the Geophysical Information Systems Department, Gubkin Russian State University of Oil and Gas (National Research University). His research interests focus on algorithmical formalization of petrophysical interpretation of well-logging data. He is author and co-author of more than 50 scientific publications. E-mail: kazimirk@hotmail.com
Ziyun CHENG is student of the master’s program at the Geophysical Information Systems Department, Gubkin Russian State University of Oil and Gas (National Research University). Her research interests are petrophysics and well logging analysis.
E-mail: chengziyun7@gmail.com

Abstract: На основании разработанной модели предложены алгоритмы расчета коэффициента нефтегазонасыщенности и способы контроля результатов интерпретации данных комплекса геофизических исследований скважин (ГИС). The paper considers derivation of the dependence between resistivity saturation factor and normalized effective porosity in the zone of maximum hydrocarbon saturation of the reservoir. Verification of the developed parametric model showed good agreement between the calculated values of the resistivity saturation factor and the results of the laboratory petrophysical measurements on core samples from terrigenous reservoirs of Western Siberia.
On the basis of the developed model algorithms for calculating oil and gas saturation coefficient and methods for monitoring the interpretation results of well logging data are proposed

Index UDK: 550.83

Keywords: petrophysical modeling, resistivity saturation factor, effective porosity

Bibliography:
1. Dahnov V.N. Geofizicheskie metodi opredeleniya kollektorskih svoystv I neftegazonasisheniya gornih porod [Geophysical methods for determining reservoir properties and oil and gas saturation of reservoirs]. M.: Nedra, 1975, 344 p. (in Russian).
2. Dobrinin V.M., Vendelshteyn B.Yu., Kozhevnikov D.A. Petrofizika (Fizika gornih porod) [Petrophysics (Physics of rocks)]. M.: Neft I gas, 2004, 368 p. (in Russian).
3. Kozhevnikov D.A., Kovalenko K.V. Izuchenie kollektorov nefti i gaza po dannim adaptivnoy interpretacii geofizicheskih issledovaniy skvazhin [The study of oil and gas reservoirs based on the results of adaptive interpretation of well logging data]. Moscow, 2011, 219 p. (in Russian).
4. Kozhevnikov D.A., Kovalenko K.V. Princip petrofizicheskoy invariantnosti kollektorov I ego primemenie pri geomodelirovanii mestorozhdeniy nefti i gaza [The principle of petrophysical invariance of reservoirs and its use in geomodeling oil and gas reservoirs]. Doklady Earth Sciences, 2011, v. 440, no. 4, p. 530-532 (in Russian).
5. Leontyev E.I. Modelirovaniye v petrofizike [Petrophysics Modeling]. M.: Nedra, 1978, 125 p. (in Russian).

2017/4
The influence of clay cement composition on reliability of volumetric parameters of terrigenous reservoirs from well logs
Geosciences

Authors: Kazimir V. KOVALENKO is Doctor of Geological and Mineralogical Sciences, professor of the Department of Geophysical Well Logging of Gubkin Russian State University of Oil and Gas (National Research University). He is author of more than 50 scientific publications. He is Member of SPWLA and Nuclear geophysical Society. E-mail: kazimirk@hotmail.com
Natalya E. LAZUTKINA is Candidate of Technical Sciences, assistant professor of the Department of Geophysical Well Logging of Gubkin Russian State University of Oil and Gas (National Research University). She is author of more than 30 scientific publications, co-editor of the handbook „Geophysical Well Logging” and textbook of the same title for universities.
E-mail: lazutnat@mail.ru
Anvar S. MUMINOV graduated from Tashkent Polytechnic Institute in 1972. Candidate of Physical and Mathematical Technical Sciences, assistant professor of the Department of Geological and Geophysical Exploration of the branch of Gubkin Russian State University of Oil and Gas (National Research University) in Tashkent. He is author of more than 30 scientific publications and a patent.
E-mail: an.sul.mum@mail.ru

Abstract: Methodical basis of petrophysical support of well logging data interpretation is provided. This allows to take into account the clay mineral composition while evaluating reservoir properties based on the analysis of residual water saturation and porosity

Index UDK: 550.83

Keywords: рetrophysical мodeling, рhase рermeability, еffective porosity

Bibliography:
1. Abidov А.А., Abetov А.Е., Kirshin А.V., Rzaeva V.А. Peculiarities of the structure and prospects of the oil and gas potential of the Kuanysh-Koskalinsky shaft in connection with the types of consolidated crust. DAN RUz, 1996, no. 8, p. 41-43 (in Russian).
2. Babаdzhanov T.L., Kim G.B., Rubo V.V. Prospects of oil and gas potential of the Aral Basin. Geolodiya regionov Kaspiyskogo I Aralskogo morey, 2004, p. 282-289 (in Russian).
3. Blinova E.Yu., Indrupskiy I.M., Kovalenko K.V. Influence of the heterogeneity of the cement’s material composition on the petrophysical and filtration characteristics of the reservoir. Neftyanoe khozyaistvo. [Oil Industry], 2013, no. 7, p. 76-80 (in Russian)
4. Dobrynin V.M., Vendelshteyn B.Yu., Rezvanov R.A., Afrikyan A.N. Pro-mislovaya gefizika [Well geophysics]. Teaching book for universities. Edited by V.M. Dobrynin, N.E. Lazutkina. Moscow, Isd. „Neft’ i gaz”, 2004, p. 400 (in Russian).
5. Kozhevnikov D.A., Kovalenko K.V. Izuchenie kollektorov nefti i gaza po dannim adaptivnoy interpretacii geofizicheskih issledovaniy skvazhin [The study of oil and gas reservoirs based on the results of adaptive interpretation of well logging data]. Moscow, RGU nefti i gaza, 2011, p. 219 (in Russian).
6. Kozhevnikov D.A., Lazutkina N.E., Kovalenko K.V. Determination of the effective porosity in the granular reservoir from well logging data with the justification of the reference parameters. NTV Karotazhnik, 2016, no. 259, p. 45-54 (in Russian).
7. Latishova M.G., Dyakonova T.F. Sposob statisticheskoy obrabotki i kontro- lya kachestva promislovo-geofizicheskih dannih po mestorozhdeniyam nefti i gaza [The method of statistical processing and quality control of field geophysical data on oil and gas fields]. Moscow, VNIIOENG, 1978, p. 200 (in Russian).

2012/2
Using petrophysical model of effective industry in geomodeling
Petroleum geology, geophysics

Authors: The concept of effective pore space actualized the need for information technology, to solve the problems of geomodeling of oil and gas fields with the aim of calculating dynamic parameters of reservoirs and «non-reservoirs» (effective and dynamic porosity as well as effective permeability for water and oil). This technology is implemented through a system of adaptive interpretation of well logging data, comprising petrophysical, methodological and interpretational-algorithmic software based on new methodological principles: adaptability and petrophysical invariance of granular reservoirs. The substantiation of the petrophysical invariant as interpretive parameter of logging methods allowed to move from empirical algorithms to the algorithms of interpretation, relying on the analytical petrophysical models of reservoirs, with the model of effective porosity being the basic one.

Abstract: Kazimir V. KOVALENKO was born in 1975. He graduated from Gubkin Russian State University of Oil and Gas in 1977. Is assistant professor of the Department of Geophysical Information Systems of Gubkin Russian State University of Oil and Gas, candidate of technical sciences. Нe is member of EAGO, SPWLA, SPE. He specializes in the development of methodological support and algorithmization of the procedures of petrophysical interpretation of well logging data. He published over 30 works. E-mail: biblioteka@nedrainform.ru
Dmitry A. KOZHEVNIKOV was born in 1935. He is professor of the Department of Geophysical Information Systems of Gubkin Russian State University of Oil and Gas, doctor of physical and mathematical sciences, member of the Russian Academy of Natural Sciences. He specializes in the field of petrophysics, nuclear geophysics and well logging data interpretation. He is Honorary Geologist, published over 300 works both in national and international periodicals. E-mail: biblioteka@nedrainform.ru
Viktor G. MARTYNOV was born in 1953. He graduated with honors from Gubkin Moscow Institute of Petrochemical and Gas Industry in 1975 as geophysicist. He is Doctor of Economic Sciences, professor, Rector of Gubkin Russian State University of Oil and Gas, Head of the Department of Geophysical Information Systems, member of the International Academy of Higher Education, member of the Russian Academy of Natural Sciences. He has published over 100 scientific and methodological works. E-mail: biblioteka@nedrainform.ru

Index UDK: 550.83

Keywords: geomodeling, well logging, reservoirs, effective porosity

Bibliography:

2009/3
Adaptive interpretation of well logging data
Petroleum geology, geophysics

Authors: Dmitry A. KOZHEVNIKOV professor at Dept. of geophysical information systems at Gubkin Russian University of Oil and Gas, doctor of physical and mathematical sciences, academician of RANS, specializes in petrophysics, nuclear geophysics and logging data interpretation. Over 300 publications.
Kazimir V. KOVALENKO graduated from Gubkin Russian State University of Oil and Gas 1997, assistant-prof. at Dept. of geophysical information systems at Gubkin Russian University of Oil and Gas, candidate of technical sciences. Specializes in methodological support and algorithmiaztion of petrophysical interpretation of logging data. 26 publications. E-mail: biblioteka@nedrainform.ru

Abstract: The petrophysical invariance determination as an interpretation parameter of well logging data has allowed to move from empirical algorithms («cross-plotting») to the algorithms of interpretation which are based on analytical petrophysical models of reservoirs reflecting set of conditions of their genesis. The principle of petrophysical invariance has allowed to present in generalized analytical form the dependence between interpretation parameters and filtration-capacity characteristics of complex reservoirs. In deficiency of petrophysical information or even in absence of reference layers adaptive tuning of algorithms reduces the number of errors sources.

Index UDK: 550.83

Keywords: petrophysics, interpretation, free fluid porosity, complex collectors, cement

Bibliography:

2010/1
Adaptive interpretation of borehole electrical measurements
Petroleum geology, geophysics

Authors: Dmitriy A. KOZHEVNIKOV graduated from Moscow Institute of Petrochemical and Gas Industry 1958. Doctor of Physical and Mathematical Sciences, prof. of the Dept. of Geophysical and information Systems of Gubkin Russian State University of Oil and Gas. Specializes in nuclear geophysics, logging data interpretation, petrophysics. Published over 300 works.
Kazimir V. KOVALENKO graduated from Gubkin Russian State University of Oil and Gas 1997, assistant-prof. at Dept. of geophysical information systems at Gubkin Russian University of Oil and Gas, candidate of technical sciences. Specializes in methodological support and algorithmiaztion of petrophysical interpretation of logging data. 26 publications. E-mail: biblioteka@nedrainform.ru

Abstract: Interpretation of resistivity method data for oil and gas reservoir identification and evaluation is purely empirical. The application of available petrophysical models is restricted by the necessity to assign a great number of unknown parameters. Extending the Dahnov-Archy formula on the basis of the petrophysical model of the reservoir and the principle of adaptivity allows to substantially increase the accuracy and reliability of oil-and-gas saturation estimates, while decreasing the number of sources of errors

Index UDK: 550.83

Keywords: petrophysical invariant, effective porosity, true resistivity, oil-and-gas saturation

Bibliography:

2011/1
Adaptive interpretation of nuclear well logging data
Petroleum geology, geophysics

Authors: Dmitry A. KOZHEVNIKOV was born in 1935. He is professor of the Department of Geophysical Information Systems of Gubkin Russian State University of Oil and Gas, doctor of physical and mathematical sciences, member of the Russian Academy of Natural Sciences. He specializes in the field of petrophysics, nuclear geophysics and well logging data interpretation. He is Honorary Geologist, published over 300 works both in national and international periodicals. E-mail: biblioteka@nedrainform.ru
Kazimir V. KOVALENKO was born in 1975. He graduated from Gubkin Russian State University of Oil and Gas in 1977. Is assistant professor of the Department of Geophysical Information Systems of Gubkin Russian State University of Oil and Gas, candidate of technical sciences. Нe is member of EAGO, SPWLA, SPE. He specializes in the development of methodological support and algorithmization of the procedures of petrophysical interpretation of well logging data. He published over 30 works. E-mail: biblioteka@nedrainform.ru

Abstract: The combination of petrophysical modeling results along with petrophysical invariance principle allow to introduce the adaptive technique of effective porosity determination using nuclear well logging data.

Index UDK: 550.83

Keywords: petrophysical invariant, effective porosity, nuclear well logs

Bibliography: