Data mining for large scale 3D seismic data analysis
M Deighton, M Petrou - Machine vision and applications, 2009 - Springer
M Deighton, M Petrou
Machine vision and applications, 2009•SpringerThe automation of the analysis of large volumes of seismic data is a data mining problem,
where a large database of 3D images is searched by content, for the identification of the
regions that are of most interest to the oil industry. In this paper we perform this search using
the 3D orientation histogram as a texture analysis tool to represent and identify regions
within the data, which are compatible with a query texture.
where a large database of 3D images is searched by content, for the identification of the
regions that are of most interest to the oil industry. In this paper we perform this search using
the 3D orientation histogram as a texture analysis tool to represent and identify regions
within the data, which are compatible with a query texture.
Abstract
The automation of the analysis of large volumes of seismic data is a data mining problem, where a large database of 3D images is searched by content, for the identification of the regions that are of most interest to the oil industry. In this paper we perform this search using the 3D orientation histogram as a texture analysis tool to represent and identify regions within the data, which are compatible with a query texture.
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