The Determination of Representative Elementary Volume by Valuing Petroleum Properties of Samotlor Field

Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy


Release:

2017, Vol. 3. №2

Title: 
The Determination of Representative Elementary Volume by Valuing Petroleum Properties of Samotlor Field


For citation: Zhizhimontov I. N., Stepanov S. V. 2017. “The Determination of Representative Elementary Volume by Valuing Petroleum Properties of Samotlor Field”. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, vol. 3, no 2, pp. 46-59. DOI: 10.21684/2411-7978-2017-3-2-46-59

About the authors:

Ivan N. Zhizhimontov, Postgraduate Student, Tyumen State University; Specialist, Tyumen Petroleum Research Center; inzhizhimontov@yandex.ru

Sergei V. Stepanov, Dr. Sci. (Tech.), Senior Expert, Tyumen Petroleum Research Center; Professor, Applied Physics Department, University of Tyumen; eLibrary AuthorID, svstepanov@tnnc.rosneft.ru

Abstract:

The purpose of our research is to create scientific basement for numerical calculation of filtration-capacitive rock sample’s properties and to study scale effects. A complex of computer programs was developed and implemented during our work. The first program can generate a stochastic pore-network model, the next one — imitate numerically the flow in this pore-network model.

The results of the imitation for single-phase flow of incompressible fluid in pores and throats of virtually made terrigenous deposits of Western Siberia fields rock samples are represented by the dimensions of the network calculation area. The article describes that it is necessary to determine the representative elementary volume (REV) for every rock property and lithotype to make reliable results of macroscopic rock sample properties.

The results, which are illustrated in this article, became the foundation for refinement of author petroleum model of low core information group of beds of Samotlor field, and implemented for adaptation the hydrodynamic model by real data.

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