NDLI: Performing the power spectrum-area method to separate anomaly from background for induced polarization data: (a case study; Hamyj copper deposit, Iran)

Content Provider	Springer Nature Link
Author	Ferdows, Mohammad Shahi Ramazi, Hamidreza
Copyright Year	2016
Abstract	Anomaly separation plays a critical role in mineral exploration. The power spectrum-area considers the spatial data which give rise to detecting the anomalies more significantly. Induced polarization data has been surveyed using dipole-dipole array in the Hamyj copper index. Electrode spacing was designed at about 20 m. The Hamyj index was explored based on the result of remote sensing and economic geology. Hamyj deposit is located about 80 km west of Birjand city, South Khorasan province, Iran. In this paper, the induced polarization from the concentration-place domain was transferred to the time-frequency domain by using two dimensional Fourier transforms in order to use the power spectrum-area method. Then, the power spectrums of induced polarization signals were calculated and differentiated by means of fractal geometry. The threshold of separation for the design of digital filter was used to filter the data. Threshold IP and filtered data was calculated by concentration-area method. Finally, IP data and filtered data were compared with each other and 72 percentages of the anomalous data corresponded significantly with each other. The results showed that the power spectrum-area method can eliminate noise; hence, anomalies can be highlighted more sharply. As far as this study is concerned, this method can be used to suggest the best places for drilling.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISSN	18667511
Journal	Arabian Journal of Geosciences
Volume Number	9
Issue Number	10
e-ISSN	18667538
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-07-26
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Induced polarization Fractal Power spectrum-area Fourier transforms Digital filter Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science

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