Volume 5, Issue 4, August 2016, Page: 56-61
Determination of Mine Location by Using Edge Detection Methods: A Case Study of Sivas-Divrigi
Fikret Dogru, Department of Geophysical Engineering, Dokuz Eylul University, Izmir, Turkey
Oya Pamukcu, Department of Geophysical Engineering, Dokuz Eylul University, Izmir, Turkey
Cagatay Pamukcu, Department of Mining Engineering, Dokuz Eylul University, Izmir, Turkey
Received: Jun. 28, 2016;       Accepted: Jul. 16, 2016;       Published: Sep. 13, 2016
DOI: 10.11648/j.earth.20160504.12      View  3482      Downloads  149
Abstract
Edge detection and edge enhancement techniques play a crucial role in interpreting potential field data. There have been various edge detection applications to magnetic data in order to determine the edges of subsurface structures in geophysics. The edge detection methods comprise analytic signal, total horizontal derivative, theta angle, tilt angle. In synthetic case, two prism model used and the edge detection filters were applied on synthetic data successfully. In field study, the magnetic anomaly of Sivas-Divrigi mining area was selected because of importance of this area in terms of high-grade iron ore reserves. The mentioned method was applied on field data and the location of iron ore was revealed. As a conclusion, tilt angle and theta map methods gave a good agreement for determination of the structure location in both synthetic and field studies. In addition, tilt angle of the vertical derivative was studied both in theoretical and field applications. It was seen that residual information could be obtained in case tilt angle was taken following the vertical derivation.
Keywords
Magnetic, Geophysics, Mining, Edge Techniques
To cite this article
Fikret Dogru, Oya Pamukcu, Cagatay Pamukcu, Determination of Mine Location by Using Edge Detection Methods: A Case Study of Sivas-Divrigi, Earth Sciences. Vol. 5, No. 4, 2016, pp. 56-61. doi: 10.11648/j.earth.20160504.12
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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