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Studia Geotechnica et Mechanica

The Journal of Wroclaw University of Technology

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Edge Detection on Images of Pseudoimpedance Section Supported by Context and Adaptive Transformation Model Images

Ewa Kawalec-Latała
  • AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Kraków, Poland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2014-06-13 | DOI: https://doi.org/10.2478/sgem-2014-0004


Most of underground hydrocarbon storage are located in depleted natural gas reservoirs. Seismic survey is the most economical source of detailed subsurface information. The inversion of seismic section for obtaining pseudoacoustic impedance section gives the possibility to extract detailed subsurface information. The seismic wavelet parameters and noise briefly influence the resolution. Low signal parameters, especially long signal duration time and the presence of noise decrease pseudoimpedance resolution. Drawing out from measurement or modelled seismic data approximation of distribution of acoustic pseuoimpedance leads us to visualisation and images useful to stratum homogeneity identification goal. In this paper, the improvement of geologic section image resolution by use of minimum entropy deconvolution method before inversion is applied. The author proposes context and adaptive transformation of images and edge detection methods as a way to increase the effectiveness of correct interpretation of simulated images. In the paper, the edge detection algorithms using Sobel, Prewitt, Robert, Canny operators as well as Laplacian of Gaussian method are emphasised. Wiener filtering of image transformation improving rock section structure interpretation pseudoimpedance matrix on proper acoustic pseudoimpedance value, corresponding to selected geologic stratum. The goal of the study is to develop applications of image transformation tools to inhomogeneity detection in salt deposits.

Keywords: underground storage; acoustic impedance; data analysis and visualisation; edge detection algorithms; rock salt; inhomogeneity detection


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About the article

Published Online: 2014-06-13

Published in Print: 2014-03-01

Citation Information: Studia Geotechnica et Mechanica, Volume 36, Issue 1, Pages 29–36, ISSN (Online) 2083-831X, ISSN (Print) 0137-6365, DOI: https://doi.org/10.2478/sgem-2014-0004.

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© by Ewa Kawalec-Latała. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. BY-NC-ND 3.0

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