Open AccessUsing the Method of Principal Components and Discriminant Analysis with Aim of Simplifying the Selection of Analogue Object for New Area
Author(s) -
R. I. Bulatov
Publication year - 2021
Publication title -
tehnologii nefti i gaza
Language(s) - English
Resource type - Journals
ISSN - 1815-2600
DOI - 10.32935/1815-2600-2021-133-2-42-46
Subject(s) - principal component analysis , linear discriminant analysis , optimal discriminant analysis , discriminant , discriminant function analysis , pattern recognition (psychology) , selection (genetic algorithm) , object (grammar) , artificial intelligence , multiple discriminant analysis , computer science , function (biology) , constant (computer programming) , homogeneous , mathematics , statistics , biology , combinatorics , evolutionary biology , programming language
The article discusses the main geo-physical parameters from 66 development objects. This data is analyzed using component and discriminant analysis methods. Using the principal component method, relatively homogeneous analog groups are distinguished, and discriminant analysis is used to derive the discriminant function and its constants. Based on the values of this function and constants, the new development object is assigned to the analog group.