TN602 : Depth estimation of magnetic anomalies by Euler and Power spectrum methods (case study Mayamey iron ore)
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2016
Authors:
Abstarct: Many efforts have nowadays been made to identify subsurface structures and access to them. Depth is of one of these characteristics that need to be estimated. There are various depth estimation methods such as Euler deconvolution and energy power spectrum. To investigate the Euler deconvolution and energy power spectrum methods for estimating the depths of mineral deposits, synthetic models were used. The constructed models were baxsed on spherical, horizontal and vertical structures. Among these synthetic models, a sphere having depth of 10, 20 and 30 m, and radius of 5 and 10 m and both high and low magnetic susceptibilities were considered. For the other models, a sill having depth of 10, 20 and a dyke having depth of 20 and 30 m were considered and the estimation of the depths of the models was performed using the Euler deconvolution and energy power spectrum methods. Selecting the appropriate window and index reasonable structure in the Euler method, we solve homogeneous Euler equation and the result is the estimated depth. The window is moved on the data network and the depths are obtained for each window. For structures of spherical, vertical and horizontal structures depth of Euler's method for estimating the depth of the center and top of the stack depth is desired. In the power spectrum method, the energy spectrum is measured in frequency space and as a result, the tilt and depth are calculated in different wave numbers. Using this method it was found that the synthetic model to estimate depth greater than the depth of the masses is considered a top depth.
In this research, Magnetic data from Khalaji iron ore index in east of Mayamey have been used for estimation of the depths of iron ore anomalies by these methods. For this purpose, necessary corrections such as diurnal and IGRF corrections have been made on the magnetic data, and then, for detailed evaluation of the study area, different filters like reduction to the pole, upward and downward continuation and the vertical derivative filters have been used. The necessary checks, anomalies in the region were identified in the north and southeast. The depth of the above mentioned methods were used to estimate the depth of the masses Euler method gates 30 to 8 m and 58 m above the level of the power spectrum average depth estimates. The results, noting that Euler's method is more accurate in front of the power spectrum uncorrectedbe unmodified.
Keywords:
#Magnetometry #Depth estimation method #Euler Deconvolution #Energy power spectrum #Synthetic model #Khalaji iron ore index
Keeping place: Central Library of Shahrood University
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Keeping place: Central Library of Shahrood University
Visitor: