Conformity of hydrodynamic modeling systems to natural and technogenic processes of oil and gas production

About the authors:

Sergei I. Grachev, Dr. Sci. (Tech.), Professor, Tyumen Industrial University; grachevsi@mail.ru

Alexander V. Strekalov, Dr. Sci. (Tech.), Senior Expert, Tyumen Petroleum Research Center, Rosneft; avstrekalov@tnnc.rosneft.ru

Artyom T. Husainov, Cand. Tech. Sci., Associate Professor, Department of Development and Exploitation of Oil and Gas Fields, Tyumen State Oil and Gas University

Abstract:

The article considers the major problems and solutions in the field of process modeling and oil and gas field development systems. Tyumen State Oil and Gas University (TSOGU) and the Department of Development and Exploitation of Oil and Gas Fields have conducted theoretical and experimental research of high-precision complex hydrodynamic modeling over 15 years. Due to the impossibility of a detailed review of modeling problems in the oil and gas industry, the aim of the article is to demonstrate the most significant results obtained by the Department of Development and Exploitation of Oil and Gas Fields. It is a known fact that core data, PLT, hydrodynamic and physico-chemical studies cannot always guarantee the accuracy of forecasting field development data. The works of TSOGU scientific school (R.Ya. Kuchumov et al.) present the results of the analysis of more than 3000 deposits in Khanty-Mansi Autonomous Area–Yugra, in which regression relationship between the oil recovery factor and about a dozen geological and physical parameters of their collectors have not been revealed. In this context, the design and management of field development, is, unfortunately, mostly based on the analysis of digital simulation models. Moreover, simulation is the key predictor of performance and characteristics of hydrocarbon resource development and transportation. Its reliability and accuracy determine the quality of design decisions and the efficiency of field development management. A reliable and rigorous model of an object or process is the key to the effectiveness of implemented technologies and operations. In this regard, it is not surprising that the main issues of design and management involve developing accurate models and their efficient use.

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