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Horizon Picking in 3D Seismic Images

  • Maria Faraklioti
  • Maria Petrou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

In this paper, we present an automatic horizon picking algorithm, based on a surface detection technique, to detect horizons in 3D seismic data. The surface detection technique, and the use of 6-connectivity, allows us to detect fragments of horizons which are afterwards combined to form full horizons. The criteria of combining the fragments are similarity of orientation of the fragments, as expressed by their normal vectors, and proximity using 18-connectivity. The identified horizons are interrupted at faults, as required by the experts.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Maria Faraklioti
    • 1
  • Maria Petrou
    • 1
    • 2
  1. 1.University of SurreyGuildfordUK
  2. 2.The Institute of Telematics and InformaticsCERTHThermi, ThessalonikiGreece

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