Implementation of Fractal Analysis to Improve the Quality of Oil and Gas Condensate Deposits Development: Theory, Methods, and Practical Application
Автор: E.Yu. Golovina, P.A. Lontsikh, M.V. Bogatyreva, R.D. Kuznetsov
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Машиностроение и машиноведение
Статья в выпуске: 6 т.27, 2025 года.
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The article discusses modern approaches to the application of fractal analysis for characterizing the heterogeneity of productive reservoirs in oil and gas condensate fields (OGCFs). Traditional deterministic and stochastic modeling methods often do not fully take into account the multi-scale nature of geological bodies, which leads to significant errors in predicting the filtration and storage properties (FPS) and, consequently, to suboptimal design solutions. Fractal analysis makes it possible to improve the quality of calculations through a quantitative description of the complexity and hierarchical structure of porosity, permeability and fracturing of reservoirs [1]. The paper presents a method for calculating the fractal dimension based on core data and geophysical well surveys (GIS) using the example of one of the deposits in Western Siberia. It is shown that the distribution of filtration-capacitance properties (FEF) of the studied object has a pronounced fractal character. The specific example demonstrates how the use of fractal models allows to refine the geological model, substantiate the choice of the optimal grid of well placement and predict the dynamics of production with greater accuracy than traditional methods. The results of the study confirm that the introduction of fractal analysis into the practice of geological modeling and design of the development of NGKMs contributes to the reduction of geological risks and increase the economic efficiency of projects.
Fractal analysis, fractal dimension, oil and gas condensate field, reservoir heterogeneity, geological modeling, filtration and capacity properties (FCP), core, GIS, and development optimization
Короткий адрес: https://sciup.org/148332847
IDR: 148332847 | УДК: 622.276.1/4:550.837 | DOI: 10.37313/1990-5378-2025-27-6-79-87