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2014/4
Using safe process oils produced by deasphalting in tire-tread compounds
Technical sciences

Authors: Dmitrij А. KOZHEVNIKOV graduated from Gubkin Russian State University of Oil and Gas in 2011. Postgraduate of the Department of Chemistry and Technology of lubricants and Chemmotology of Gubkin Russian State University of Oil and Gas.E-mail: d.a.kozhevnikov@yandex.ru
Boris P. TONKONOGOV graduated from Gubkin Russian State University of Oil and Gas in 1973. Doctor of Chemistry, Professor, Dean of the Faculty of Chemical Engineering and Environment, Head of the Department of Chemistry and Technology of lubricants and Chemmotology of Gubkin Russian State University of Oil and Gas. Specialist in the field of alternative motor fuels based on natural gas, lubricants and additives, including additives for alternative motor fuels. He is author of over 100 scientific and educational works.E-mail:bpt@gubkin.ru
Vladimir A. OS’MUSHNIKOV graduated from Gubkin Russian State University of Oil and Gas in 2001. Postgraduate of the Department of Chemistry and Technology of lubricants and Chemmotology of Gubkin Russian State University of Oil and Gas.E-mail: Ocmushnikov.VA@gazprom-neft.ru
Anzhela F. KARIMOVA graduated from Gubkin Russian State University of Oil and Gas in 2013. Postgraduate of the Department of Chemistry and Technology of lubricants and Chemmotology of Gubkin Russian State University of Oil and Gas.E-mail: angela.f.karimova@gmail.com

Abstract: To improve the environmental safety of tires the use of plasticizers derived from extracts of selective treatment by propane de-asphalting in commercial tire stocks for passenger cars was studied. Comparative tests with commercial samples of environmentally friendly oils were carried out. It is shown that plasticizers obtained by propane de-asphalting are flexible in processing rubber and possess better physical and mechanical properties in comparison with control samples. Thus, the presented plasticizer is a promising alternative to aromatic oils. This product allows reducing the impact on the environment and contributes to the expansion of the product line of domestic agents

Index UDK: 678.8

Keywords: petroleum plasticizers, rubber softening agents, de-asphalting of lubricant oils, polycyclic aromatic hydrocarbons, tire rubber

Bibliography:
1. Null V. Safe Process Oils for Tires with Low Environmental Impact. Kautschuk Gummi Kunststoffe, 1999, no. 12, pp. 799-805.
2. Hesin A.I., Skudatin M.E., Ushmodin V.N. Carcinogenic risk of tires. Nacional’naja bezopasnost’ I geopolitika Rossii. [National Security and Geopolitics of Russia], 2003, no. 10-11, pp. 51-52 (in Russian).
3. Montague P. Tire dust. Rachel’s Environment & Health Weekly. Electronic Edition, 1995,no. 439. Available athttp://www.ejnet.org/rachel/rehw439.htm (Accessed 5 May 2014).
4. Information bulletin „Syr’e I materially shinnoj promyshlennosti” [Raw materials of tire industry]. Institut shinnoj promyshlennosti [Institute of tire industry], 2011, р. 194 (in Russian).
5. Markova L.M. Issledovanie produktov pererabotki nefti kak plastifikatorov kauchukov i rezin. Cand, Diss. [Study of refined petroleum products as plasticizers for rubbers. Cand, Diss.]. Moscow, 1964.
6. Rabinovich V.Ju. Рoluchenie masel-plastifikatorov dlja kauchukov i rezin razlichnogo naznachenija. Cand, Diss. [Obtaining of oil-plasticizers for rubbers different purposes. Cand, Diss.]. Moscow, 1975.
7. Bowman I., Da Via M., Pattnelli M. E., Tortoreto P. The Influence of Non-Toxic Blender Oil on SBR Perfomances. [Kautschuk Gummi Kunststoffe], 2004, no. 01-02, pp. 31-36.
8. Kuta A., Hrdlicka Z., Voldanova J., Brejcha J., Pokorny J., Plitz J. Dynamic Mechanical Properties of Rubbers with Standart Oils and Ois with Low Content of Polycyclic Aromatic Hydrocarbons. KautschukGummiKunststoffe, 2010, no. 04, pp. 120-122.
9. Flanigan С., Beyer L., Klekamp D., Rohweder D., Haakenson D. Using bio-based plasticizers, alternative rubber. Rubber & Plastics News, 2013, February, 11, pp. 15-19.
10. Tonkonogov B.P., Bagdasarov L.N., Kozhevnikov D.A., Karimova A.F. Separation of solvent extracts using liquid propane to obtain petroleum plasticizers. Himija i tehnologija topliv i masel [Chemistry and Technology of Fuels and Oils], 2013, no. 5, pp. 3-6.
11. Petchkaew A., Sahakaro K., Noordermeer J.W.M. — Petroleum-based Safe Process Oils in NR, SBR and their Blends: Study on Unfilled Compounds. Part I. Oil Characteristics and Solubility Aspects. KautschukGummiKunststoffe, 2013, no. 04, pp. 43-47.
12. Bergmann C., Trimbach J., Haase-Held M., Seidel A. Consequences of European Directive 2005/69/EC for Tire Industry. Kautschuk Gummi Kunststoffe, 2011, no. 10, pp. 25-35.

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:

2010/1
Cheching validity of results of data interpretation of wells gamma-spectrometry
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. Speci- alizes in nuclear geophysics, logging data interpretation, petrophysics. Published over 300 works.
Natalia E. LAZUTKINA graduated from Gubkin State Academy of Oil and Gas 1990 of the Dept. of Geophysical Information Systems Candidate of Technical Sciences, assistant-prof. of the Dept. of Geophysical Information Systems. Published 26 works on interpretation and geological information capacity of the gamma-method, co-author of a teaching aid on logging data interpretation and co-editor of a textbook for university students.
Kirill А. EZHOV graduated from Gubkin Russian State University of Oil and Gas. Candidate for Master’s Degree of the Dept. of Geophysical Information Systems. Winner of the 61st and 62nd Students’ Scientific Conferences of Gubkin Russian State University of Oil and Gas, participant of interuniversity and research and practice conferences, prize-winner of the 3rd Moscow Research and Practice Conference «Students’ Research». E-mail: biblioteka@gubkin.ru

Abstract: Typical mistakes of interpretive and algorithmic support of gamma-spectrometry of oil and gas wells are analyzed. A method to control the quality of measurements, the results of determining the weight content of normally occurring radioactive elements and the process of software quality control of spectrometers is proposed. An error-diagnostic diagram for determining the content of normally occurring radioactive elements is developed on the basis of the interpretation model of gamma-spectrometry and relevant algorithms

Index UDK: 550.83

Keywords: gamma-spectrometry, potassium, uranium, thorium, interpretation, metrology, spectrometer

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: