Data mining for large scale 3D seismic data analysis

Authors:
M. Deighton;M. Petrou
Affiliations:
University of Surrey, Centre for Vision Speech and Signal Processing, School of Electronics & Physical Sciences, GU2 7XH, Guildford, UK;Imperial College, Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, SW7 2AZ, London, UK
Venue:
Machine Vision and Applications
Year:
2008

Citing 4
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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.