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Multivariate Analysis of Seismic Attributes by the Principal Component Method
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Saint Petersburg 2018, Apr 2018, Volume 2018, p.1 - 6
Abstract
Summary
The possibilities of multiattribute analysis of seismic data by the principal component method are considered. A technology based on a comprehensive assessment of the statistical characteristics of a data set, classification and factor analysis of a multidimensional space of seismic attributes is presented. The technology is implemented on the basis of multivariate analysis of raster spatial data models in the geographic information system ArcGIS. Practical examples of the successful application of technology for forecasting effective reservoir thicknesses in the interwell space are given.
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