georesГеоресурсыGeoresources1608-50431608-5078Georesursy LLC10.18599/grs.2022.3.14geores-121Research ArticleРАЗРАБОТКА И ЭКСПЛУАТАЦИЯ МЕСТОРОЖДЕНИЙ ПОЛЕЗНЫХ ИСКОПАЕМЫХEXPLORATION AND DEVELOPMENT OF MINERAL DEPOSITSПоэтапный подход к созданию и адаптации PVT-моделей пластовых углеводородных систем на основе уравнения состоянияA step-by-step approach to creating and tuning PVT-models of reservoir hydrocarbon systems based on the state equationЮщенкоТ. С.YushchenkoT. S.

Тарас Сергеевич Ющенко – кандидат физ.-мат. наук, старший научный сотрудник

119333, Москва, ул. Губкина, д. 3

Taras S. Yushchenko – Cand. Sci. (Physics and Mathematics), Senior Researcher

3, Gubkin st., Moscow, 119333

yushchenko@phystech.eduБрусиловскийА. И.BrusilovskyA. I.

Александр Иосифович Брусиловский – доктор тех. наук, профессор, ведущий эксперт

190000, Санкт-Петербург, наб. Реки Мойки, Д. 75-79, Литер Д

Alexander I. Brusilovsky – Dr. Sci. (Engineering), Professor, Senior Expert

Liter D, 75–79, Moyka river emb., St.Petersburg, 190000

Институт проблем нефти и газа РАНРоссияOil and Gas Research Institute of the Russian Academy of SciencesRussian FederationООО «Газпромнефть НТЦ»РоссияGazpromneft NTC LLCRussian Federation202213042024243164181Copyright © Ющенко Т.С., Брусиловский А.И., 20242024Ющенко Т.С., Брусиловский А.И.Yushchenko T.S., Brusilovsky A.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.geors.ru/jour/article/view/121

Целью работы является разработка единого поэтапного подхода по созданию и адаптации PVT-моделей пластовых углеводородных систем на основе трехпараметрического кубического уравнения состояния для достоверного моделирования PVT-свойств пластовых флюидов (пластовой нефти и пластового газа) при проектировании и мониторинге разработки месторождений, расчете многофазного течения в скважинах и промысловых трубопроводах, а также при бассейновом моделировании.Предлагаемый авторами подход позволяет с высокой точностью адаптировать PVT-модель как пластовой нефти, так и пластовой газоконденсатной системы на экспериментальные данные с помощью поэтапной процедуры, где на каждом шаге с помощью изменения одного из параметров уравнения состояния настраивается одно из PVT-свойств углеводородной системы. Возможна алгоритмизация и автоматизированное применение данного подхода в специализированных программных продуктах.Для PVT-модели пластовой нефти предлагаемый авторами подход позволяет с высокой точностью воспроизвести значения давления насыщения, объемного коэффициента, газосодержания пластовой нефти, динамику изменения изотермического коэффициента сжимаемости и динамической вязкости пластовой нефти от давления при пластовой температуре, а также плотность сепарированной нефти. Для PVT-модели пластовой газоконденсатной системы разработанный подход позволяет с высокой точностью воспроизвести давление начала ретроградной конденсации, Z-фактор пластового газа, потенциальное содержание стабильного конденсата в пластовом газе, динамику изменения потерь насыщенного конденсата и динамической вязкости фаз от давления при пластовой температуре, а также плотность стабильного конденсата и конденсатогазовый фактор.Созданная, на основе предлагаемого в статье подхода, корректная PVT-модель может применяться как в композиционном гидродинамическом моделировании, так и в моделях типа «черная нефть». Применение разработанного подхода проиллюстрировано на примерах 8 различных месторождений пластовой нефти и газоконденсатных систем различных регионов России.

The article is considering a new effective step-by-step approach to creating and tuning PVT-models of reservoir oil and reservoir gas condensate mixtures. The method is based on the reproducing of the results of field measurements and basic laboratory studies of representative samples in thermodynamic modeling using cubic three parameters equation of state. Tuning PVT-model is used for reliable modeling of PVT properties of reservoir fluids (reservoir oil and reservoir gas) in the design and monitoring of field development, calculation of multiphase flow in wells and field pipelines, as well as in basin modeling.Proposed approach makes possible to tune the PVT model with high accuracy of both reservoir oil and reservoir gas condensate system to experimental data using a step-bystep procedure, where at each step, by changing one of the parameters of the equation of state, one of the PVT properties of the hydrocarbon system is tuned. Algorithmization and automated application of this approach in specialized software products is possible.Proposed approach allows tune reservoir oil PVT-models on the main PVT-properties such as saturation pressure, FVF, STO density, gas-oil ratio of reservoir oil and dependencies of dynamic viscosity and compressibility on pressure at reservoir temperature as well as STO density. The tuned gas-condensate PVT-model precisely reproduces the key properties such as dew point pressure, initial condensate content in the reservoir gas, z-factor of the reservoir gas, gas-oil ratio, stable condensate density, drop down curve by the result of CVD-test.PVT-models created on the base of the proposed method, provide reliable information on the properties of a reservoir fluid in development of flow simulation both using a reservoir simulation compositional models and using pseudo models “black oil”. The method is illustrated by the example of creation of the adequate PVT-models of various regions of Russia reservoir oil and reservoir gas condensate mixtures.

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The authors declare that there are no conflicts of interest present.