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Horizon picking in 3D seismic data volumes

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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 that 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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Authors and Affiliations

  1. School of Electronics and Physical Sciences, University of Surrey, GU2 7XH, Guildford, UK

    Maria Faraklioti & Maria Petrou

  2. The Institute of Telematics and Informatics, CERTH, PO Box 361, 57001, Thermi, Thessaloniki, Greece

    Maria Petrou

Authors
  1. Maria Faraklioti
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  2. Maria Petrou
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Corresponding author

Correspondence to Maria Petrou.

Additional information

Received: 16 August 2003, Accepted: 4 May 2004, Published online: 17 August 2004

Correspondence to: Maria Petrou

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Faraklioti, M., Petrou, M. Horizon picking in 3D seismic data volumes. Machine Vision and Applications 15, 216–219 (2004). https://doi.org/10.1007/s00138-004-0151-8

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  • DOI: https://doi.org/10.1007/s00138-004-0151-8

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