Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/123456789/32553
Title: Applying Bootstrap Method to Assess Fractured Reservoirs
Authors: Shchekin, A. I.
Щекин, А. И.
Khandzel, A. V.
Хандзель, А. В.
Kalashnikov, D. S.
Калашников, Д. С.
Keywords: Bootstrap method;Classification of fractured reservoirs;Fracture impact coefficient;Fractured reservoirs;Lorenz curve;Productivity index
Issue Date: 2025
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Shchekin, A., Handzel, A., Kalashnikov, D. S. Applying Bootstrap Method to Assess Fractured Reservoirs // 6th International Conference on Problems of Cybernetics and Informatics PCI 2025. - DOI: 10.1109/PCI66488.2025.11219773
Series/Report no.: 6th International Conference on Problems of Cybernetics and Informatics PCI 2025
Abstract: Identifying the type of a fractured reservoir at the initial stages of field development is of extreme importance. The paper examines the applicability of the cumulative production indicator and the productivity index of wells to determine the type of fractured reservoir. To achieve this, a statistical method for analyzing the Lorenz curve and the Gini coefficient (as applied to determine the impact of fractures) with small data samples and at the initial stages of field development is used. The bootstrap method is applied to analyze the fracture impact coefficient for a small number of wells. It is shown that similar results were obtained when using cumulative production and productivity index to identify fractured reservoirs with a small number of wells. To increase the reliability of classification for a small number of wells, a data sample is required that most fully describes the field.
URI: https://dspace.ncfu.ru/handle/123456789/32553
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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