Integral analysis aimed at identification and analytical solution of issues on oil recovery efficiency enhancement

BAXTİZİN R., Fattakhov I. G., Kadyrov R. R., Safiullina A. R.

International Journal of Applied Engineering Research, vol.11, no.3, pp.1612-1621, 2016 (Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 11 Say: 3
  • Nəşr tarixi: 2016
  • jurnalın adı: International Journal of Applied Engineering Research
  • Jurnalın baxıldığı indekslər: Scopus
  • Səhifə sayı: pp.1612-1621
  • Açar sözlər: Classes, Cluster analysis, Equation, Polymer-acid treatment, Principal components method, Regression
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

This paper covers a selection of 28 wells of Zavolzhsky superhorizon of Mikhailovsk and Kopey-Kubovsk fields, upon polymer-acid treatment, with 39 parameters for each. Regression and cluster analyses were made, principal components method was applied. Graphs were built and calculated using Statistica 6.0 software. The regression equation after the analysis was obtained and dependency plot between observed and predicted values of well flow rate growth was drawn. Wells were divided into clusters.