One of the main issues while reservoir geological model creation is to establish the relationship between measured rock properties (e.g. porosity, permeability) and well logs values. Standard approaches consist in using deductive mathematical modeling algorithms to solve this problem. The primary objective of this study was to develop the best mathematical model for Dolgan reservoir rock characteristics estimation using all available well logs information. It is obvious that simple polynomial models for this area were not applicable due to special properties of water saturated. Matched rock properties lab measurements in reference wells and well logs data were available.In the frameworks of this article several statistical methods including various regression types and neural networks were analyzed. The best relation in terms of statistical criteria was obtained by the group method of data handling (GMDH) method. GMDH is an inductive modeling algorithm using neural network with active neurons. This approach optimizes not only model coefficients for predetermine mathematical equation but also select optimal model complexity.Multilayered algorithm of GMDH, based on polynomial reference function allowed maximizing amount of information being used from different types of well logs in reference wells for target relation. Data from neutron, density, resistivity and PS logs were the most significant for the final model of Dolgan resorvoir.So using of GMDH cybernetics algorithms may significantly increase precision of rock properties forecast for further geomodeling purposes.

The Vankor oilfield in Eastern Siberia is characterized by multiple layers of varying types of hydrocarbons, including oils ranging in viscosity from less than 1 cp to over 20 cp, the Russian regulatory cut-off for heavy oil. It is important for every reservoir penetration to determine the type of oil encountered and also to make any possible inferences about reservoir connectivity. Wireline formation testers equipped with downhole fluid analysis (DFA) sensors acquiring color and gas-oil ratio data (GOR) are used to determine the hydrocarbon type and fluid property gradients. Then, using the emerging technology of asphaltene gradient modeling and prediction for heavier oils, we are able to help support conclusions of reservoir connectivity.In this paper we present datasets from wells where we determine the fluid type from DFA data. Additionally, we incorporate color with pressure gradient data to help build reservoir models that predict reservoir connectivity and compartmentalization.

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One of the main issues while reservoir geological model creation is to establish the relationship between measured rock properties (e.g. porosity, permeability) and well logs values. Standard approaches consist in using deductive mathematical modeling algorithms to solve this problem. The primary objective of this study was to develop the best mathematical model for Dolgan reservoir rock characteristics estimation using all available well logs information. It is obvious that simple polynomial models for this area were not applicable due to special properties of water saturated. Matched rock properties lab measurements in reference wells and well logs data were available.In the frameworks of this article several statistical methods including various regression types and neural networks were analyzed. The best relation in terms of statistical criteria was obtained by the group method of data handling (GMDH) method. GMDH is an inductive modeling algorithm using neural network with active neurons. This approach optimizes not only model coefficients for predetermine mathematical equation but also select optimal model complexity.Multilayered algorithm of GMDH, based on polynomial reference function allowed maximizing amount of information being used from different types of well logs in reference wells for target relation. Data from neutron, density, resistivity and PS logs were the most significant for the final model of Dolgan resorvoir.So using of GMDH cybernetics algorithms may significantly increase precision of rock properties forecast for further geomodeling purposes.

Розглянуто проблемні питання споживання електроенергії по Україні. Проаналізовано динаміку споживання електроенергії та запропоновано методичні рекомендації щодо ефективного використання електроенергії. Дослі-джені прогнозні сценарії споживання електроенергії загалом по всій Україні. Базовою основою формування енерго-системи України є побудова прогнозних сценаріїв за різними видами енергоресурсів та різноманітними критеріями ефективного використання паливно-енергетичних ресурсів. Проблема ефективного використання паливно-енергетичних ресурсів постає дуже важливою для сталого економічного розвитку енергетики на фоні збереження залежності національної економіки від імпорту енергоносіїв, а також зростання цін на дані ресурси. Вирішення цієї проблеми пов'язано не тільки з забезпеченням енергетичної безпеки країни, але також із підвищенням рівня розвит-ку регіонів країни та забезпечення якості життя його населення. Ключові слова: енергетичний баланс; енергозбереження; енергоефективність; енергетична статистика. Табл.: 7. Бібл.: 6. Рассмотрены проблемные вопросы потребления электроэнергии по Украине. Проанализирована динамика по-требления электроэнергии и предложены методические рекомендации относительно эффективного использования электроэнергии. Исследованы прогнозные сценарии потребления электроэнергии в целом по всей Украине. Базовой основой формирования энергосистемы Украины является построение прогнозных сценариев по различным видам энергоресурсов и разнообразным критериям эффективного использования топливно-энергетических ресурсов. Про-блема эффективного использования топливно-энергетических ресурсов возникает крайне важной для устойчивого экономического развития энергетики на фоне сохранения зависимости национальной экономики от импорта энер-гоносителей, а также рост цен на данные ресурсы. Решение данной проблемы связано не только с обеспечением энергетической безопасности страны, но также с повышением уровня развития регионов страны и качества жиз-ни его населения. Ключевые слова: энергетический баланс; энергосбережение; энергоэффективность; энергетическая стати-стика. Табл.: 7. Библ.: 6. Considered problem issues of electricity consumption in Ukraine. The dynamics of energy consumption and the proposed guidelines gait efficient use of electricity. Researched and projected scenarios projected electricity consumption in general throughout Ukraine. The basic foundation of the formation of the Ukraine grid construction is forecasting scenarios for different types of energy and the various criteria for effective use of energy resources. The problem of efficient use of energy resources raises crucial for sustainable economic development against the backdrop of energy saving national economy depends on energy imports, on the one hand, and rising prices for these resources. The solution to this problem is not only with ensuring energy security, but also with the level of development of regions and the quality of life of its population.