Methodical approach to substantiation of the strategy for the development of residual oil reserves at the final stage of development, taking into account facies analysis İşlǝnmǝnin son mǝrhǝlǝsindǝ fasiya analizinin nǝzǝrǝ alınması ilǝ qalıq neft ehtiyatlarının işlǝnmǝsi strategiyasının ǝsaslandırılmasına metodiki yanaşma Методический подход к обоснованию стратегии выработки остаточных запасов нефти на завершающей стадии разработки с учётом фациального анализа

Grishchenko V., Mukhametshin V., BAXTİZİN R., Zeigman Y., Kuleshova L., Yakupov R., ...daha çox

SOCAR Proceedings, no.3, pp.66-75, 2022 (ESCI, Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Nəşr tarixi: 2022
  • Doi nömrəsi: 10.5510/ogp20220300710
  • jurnalın adı: SOCAR Proceedings
  • Jurnalın baxıldığı indekslər: Emerging Sources Citation Index (ESCI), Scopus, Compendex
  • Səhifə sayı: pp.66-75
  • Açar sözlər: Facies model, Geological structure, Horizontal wells, Hydraulic fracturing, Hydrodynamic model, Multiple regression analysis, Oil field development
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

The article considers and solves the problem of finding the optimal strategy for the development of terrigenous deposits of the Bobrikovsko-Radaev horizon of one of the deposits of the Ural-Volga region. Based on the analysis of the behavior of the curves obtained during geophysical surveys in more than three thousand wells, four main types of facies zones were identified, characterized by different porosity and permeability properties and formed development systems. As part of the analysis of the reservoir pressure maintenance system, a direct influence of reservoir properties on the efficiency of waterflooding was established, which made it possible to develop an optimization strategy and the formation of new injection sites. Using the method of multiple regression analysis, two statistical models have been obtained – the reservoir properties model and the facies model, which make it possible to quickly assess the recovery factor and select the optimal development system for fields with a lesser degree of knowledge.