This paper attempts to consider the results of a magnetotelluric MT geophysical survey and the applicability of image processing method on the TM images of the anticline. The color pixels related to the salt zones have been separated from the other zones from the land surface using image processing method incorporating k-means clustering approach as one of the simplest unsupervised learning algorithms. Field investigations, geological study and the results obtained from the MT survey together with the image processing method identified three salt zones in the study area. These salt zones match well with a decrease in the resistivity of MT data. The application of the proposed method as one of the artificial intelligence technique can be properly used as a cost effective method to identify salt zones from the other areas and preparing a probability map in a regional scale in petroleum exploration.
Magnetotelluric, Dehnow anticline, salt plug, image processing, color pixels, cluster
1. Bagheri, MS.c. thesis, 2005.
2. Banks, Signal Processing, Image Processing and Pattern Recognition, 1990.
3. Berkhin, Survey of clustering data mining techniques, 2002.
4. Doulati Ardejani, Interpretation of the gravity and magnetic data of Dehnow anticline. Technical Report, 2005.
5. Esmaeil Zadeh, International Conference on Electronic geophysical Year: State of the Art and Results, 3--6 June 2009, Pereslavl-Zalessky, Russia, 2009.
6. Genevraye, Denhow and Namaki geological survey, Report No.5517-9-1, 1976.
7. Lloyd, IEEE Trans. Inf. Theory, v. IT-28, no. 2, 1982., doi:https://doi.org/10.1109/TIT.1982.1056489
8. Maheswary, International Conference on Computer and Electrical Engineering, 2008., doi:https://doi.org/10.1109/ICCEE.2008.114
9. Oskooi, PhD thesis, 2004.
10. Quan, International Asia Conference on Informatics in Control, Automation and Robotics, 2009.
11. Tabatabaei, Report No.: 2083, 2004.
12. Vozoff, Electromagnetic Methods in Applied Geophysics, Vol. 2: Application, Part B, 1991.
13. Zimmerman, Fuzzy Set Theory and Its Application, 2-nd Edition, 1991.
