Logging curves automatic sorting in layers

摘要

In the process of physical exploration of earth resources, artificial stratification time and labor, and with a strong subjectivity, the use of logging curve for automatic stratification, fast and objective, high precision, can facilitate the exploitation of resources and value assessment. In view of the automatic stratification problem of logging curve, This paper first normalizes the data, The main components influencing geological stratification were determined by component analysis, and then through the factor analysis will be the main factors to filter classification, the relationship between the comprehensive index and the main factor is determined by the cumulative contribution rate and the principal variance of the weight analysis. By modeling the given data, get the result of automatic stratification, the results of automatic stratification of each layer model are compared with their manual stratification results, the two data is relatively similar, indicating that the model is more accurate and reasonable.