Exploration Geophysics Exploration Geophysics Society
Journal of the Australian Society of Exploration Geophysicists
RESEARCH ARTICLE

Channel edge detection using 2D complex shearlet transform: a case study from the South Caspian Sea

Haleh Karbalaali 1 Abdolrahim Javaherian 1 2 5 Stephan Dahlke 3 Siyavash Torabi 4
+ Author Affiliations
- Author Affiliations

1 Department of Petroleum Engineering, Amirkabir University of Technology, Tehran 15857-4413, Iran.

2 Institute of Geophysics, University of Tehran, Tehran 14155-6466, Iran.

3 Department of Mathematics and Computer Sciences, Philipps Universität, Marburg 35032, Germany.

4 Seismic Data Processing Department, Dana Geophysics Company, Tehran 1919935331, Iran.

5 Corresponding author. Email: javaherian@aut.ac.ir

Exploration Geophysics - https://doi.org/10.1071/EG17057
Submitted: 13 April 2017  Accepted: 2 October 2017   Published online: 13 November 2017

Abstract

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.

Key words: Canny operator, channel edge detection, complex shearlet-based edge measure, phase congruency, Sobel filter.


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