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Multivariate Analysis of Seismic Attributes by the Principal Component MethodNormal access

Author: I. Mityunina
Event name: Saint Petersburg 2018
Session: Seismic Attribute Analysis, Seismic Elastic Inversion, AVO
Publication date: 09 April 2018
DOI: 10.3997/2214-4609.201800178
Organisations: EAGE
Language: Russian
Info: Extended abstract, PDF ( 679.48Kb )
Price: € 20

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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