Magnetic Basement Depth Re-Evaluation of Naraguta and Environs North Central Nigeria, Using 3-D Euler Deconvolution
نویسندگان
چکیده
منابع مشابه
depth and body type estimation of the magnetic anomalies using analytic signal and euler deconvolution.
a variety of semiautomatic methods, based on the use of derivatives of the magnetic anomalies, have been developed for the determination of both of the causative source parameters such as locations of boundaries and depths. one of these techniques is the method of the analytic signal for magnetic anomalies, which was initially used in its complex function form and makes use of the properties of...
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Euler deconvolution method is the method of depth estimation which is best suited for anomalies caused by isolating and multiple anomalous sources. In the present study, algorithmic programs based on generalizing linear inverse theory, uses a least square sense to solve for Euler’s equation is being written. The Euler technique that can estimate the location of a simple body from measurements o...
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Geomagnetic study was carried out to investigate the distribution and depth of formations of different magnetic rocks on an old quarry site, Abeokuta, Southwestern, Nigeria. Eight ground magnetic profiles were established with 10 m spacing intervals orientated in West-East and North-South directions, and ranged between 110 and 190 m. A total of 223 data sets were acquired and corrected for all ...
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15 صفحه اولcombination of analytic signal and euler deconvolution methods for interpretation of 2-d magnetic data
an_eul is a new automatic method for simultaneous approximation of location, depth, and structural index (geometry) of magnetic sources. in the 2d case analytic signal is defined as a conjugate function whose imaginary part is the hilbert transform of its real part. since the first vertical derivative of the magnetic field is the hilbert transform of its horizontal derivative, vertical and hori...
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ژورنال
عنوان ژورنال: American Journal of Mining and Metallurgy
سال: 2015
ISSN: 2376-7952
DOI: 10.12691/ajmm-3-2-1