Multiple correlation-regression analysis of the impact of major factors on oil production

This article discusses the multiple regression analysis techniques to determine effectiveness of factors used. The study examines various relationships between elements. It is important identify which factor will be most when selecting wells amount oil recovery. Nowadays, problem in fields Tatarstan and Bashkortostan depletion deposits. To maintain profitability mining companies, therefore, issue preparing new reserves remains relevant. process involves high costs risks. For a more reliable picture, it crucial relevant factors. use triad studies proposed by authors makes possible reliably companies. initial data are direct measurements methods mathematical statistics that allow accurate predictions. Statistical made parameters on depends. In domestic practice, assessment resources hydrocarbons usually deterministic methods, while abroad statistical method When studying objects, analyst should interested not only presence quantitative relations but also form relationship effective characteristics, its analytical expression. Correlation help solve these problems. aims measure tightness varying variables evaluate have greatest impact resulting trait. Regression designed select relationship, calculated values dependent variable (the feature) [1]. analysis, we used industry published annual collections Rosstat, as well specialized periodicals for ten years.