Seismic Facies using Seismic Attributes

in: 23th gOcad Meeting, ASGA

Abstract

Last year, we proposed several algorithms to extract all the information contained in a seismic cube : the seismic attributes. In this paper, we present a method to perform a quick and efficient analysis of a seismic cube using a set of these attributes. The redundancy of the input attributes are first reduced thanks to a principal component analysis tool. Then seismic facies are computed using a moving centers clustering. Applied to real field data using a specific selection of attributes, this approach succeeds in revealing channels which was not visible on the seismic data.

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    BibTeX Reference

    @inproceedings{LabrunyeRM2003,
     abstract = { Last year, we proposed several algorithms to extract all the information contained in a seismic cube : the seismic attributes. In this paper, we present a method to perform a quick and efficient analysis of a seismic cube using a set of these attributes. The redundancy of the input attributes are first reduced thanks to a principal component analysis tool. Then seismic facies are computed using a moving centers clustering. Applied to real field data using a specific selection of attributes, this approach succeeds in revealing channels which was not visible on the seismic data. },
     author = { Labrunye, Emmanuel },
     booktitle = { 23th gOcad Meeting },
     month = { "june" },
     publisher = { ASGA },
     title = { Seismic Facies using Seismic Attributes },
     year = { 2003 }
    }