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Machine Vision and Applications

, Volume 20, Issue 1, pp 11–22 | Cite as

Data mining for large scale 3D seismic data analysis

  • M. Deighton
  • M. PetrouEmail author
Original Paper

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.

Keywords

Seismic Data Texture Type Seismic Facies Hydrocarbon Exploration Query Texture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Centre for Vision Speech and Signal Processing, School of Electronics & Physical SciencesUniversity of SurreyGuildfordUK
  2. 2.Communications and Signal Processing Group, Department of Electrical and Electronic EngineeringImperial CollegeLondonUK

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