1887
Volume 49, Issue 5
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

[

Channel detection plays a significant role in seismic interpretation. Shearlet transform as a multi-scale and multi-directional transformation is capable of detecting anisotropic singularities. We applied complex-valued shearlet edge measure to synthetic and real seismic time-slices from the South Caspian Sea. The proposed algorithm outperformed both Sobel and Canny edge detectors.

,

Channels are important sedimentary features in hydrocarbon plays either as targets for drilling or geohazards that should be avoided, depending on burial depth and fluid-fill. Either way, for well design purposes it is important to image channels before drilling. Shearlet transform, as a multi-scale and multi-directional transformation, is capable of detecting anisotropic singularities in two and higher dimensional data. In this study, the complex-valued shearlet-based edge measure was implemented for the aim of channel boundary detection. The method was applied to synthetic seismic time-slices containing channels with different signal-to-noise ratios as well as a real time-slice from the South Caspian Sea. The performance of the shearlet-based algorithm was compared both qualitatively and quantitatively with well known gradient-based edge detectors such as Sobel and Canny, resulting in successfully localising edges and detecting less false positives.

]
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2018-10-01
2026-01-18

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/content/journals/10.1071/EG17057
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Channel edge detection using 2D complex shearlet transform: a case study from the South Caspian Sea
Exploration Geophysics 49, 704 (2018); https://doi.org/10.1071/EG17057
/content/journals/10.1071/EG17057
/content/journals/10.1071/EG17057
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  • Article Type: Research Article
Keyword(s): Canny operator; channel edge detection; complex shearlet-based edge measure; phase congruency; Sobel filter

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