Geosciences
p-ISSN: 2163-1697 e-ISSN: 2163-1719
2012; 2(4): 101-106
doi: 10.5923/j.geo.20120204.05
1Department of Applied Science, Kaduna Polytechnic, Kaduna, Nigeria
2Department of Physics, Federal University of Technology, Minna, Nigeria
Correspondence to: Eletta B.E. , Department of Applied Science, Kaduna Polytechnic, Kaduna, Nigeria.
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Copyright © 2012 Scientific & Academic Publishing. All Rights Reserved.
The Curie Point Depth (CPD) estimation of the Eastern sector of Central Nigeria was conducted from the spectral analysis ofresiduals of the total magnetic intensity dataof the eastern sector of central Nigeria. The radially averaged power spectrum of twenty-five blocks of the broadband data were obtained from which differences in frequency characteristics between the magnetic effects from the top and bottom of the magnetized layer in the crust wereidentified. The magnetic effects at the two depths were separated and analysed to determine the Curie depth isotherm. The plots of the spectral energies revealed that the magnetic depths are detectable and the result shows a variation of between 2 and 8.4km in the Curie point depths of the study area. The high prospect areas are found around Atsuku, Takum and Wukari areas in the south-west parts of the study area.
Keywords: Curie Point Depth, Curie Point Isotherm, Spectral Analysis, Geothermal Gradient, Geothermal Heat Flow, Magnetic Anomaly, Benue Trough
|  | Figure 1. Geological map of Nigeria showing the study area afterObaje(2009) | 
 ) from the slope of the radially averaged frequency-scaled power spectrum
) from the slope of the radially averaged frequency-scaled power spectrum  in the low-wave number part and depth to the top
 in the low-wave number part and depth to the top  from the slope of the radially averaged power spectrum (RAPS) where is radial frequency. The bottom depth
 from the slope of the radially averaged power spectrum (RAPS) where is radial frequency. The bottom depth  is then obtained from
 is then obtained from .The method of[26] is quite similar to the method so described above. They used both the high wavenumber and low wavenumber parts of RAPS. They estimated the top bound of magnetic source
.The method of[26] is quite similar to the method so described above. They used both the high wavenumber and low wavenumber parts of RAPS. They estimated the top bound of magnetic source  by fitting a straight line through the high-wavenumber part of RAPS
by fitting a straight line through the high-wavenumber part of RAPS  and respectively the centroid (
 and respectively the centroid ( ) by fitting a straight line through the low-wavenumber part of frequency-scaled RAPS
) by fitting a straight line through the low-wavenumber part of frequency-scaled RAPS  where
where  is the power density spectra and  is the wavenumber. The basal depth was also calculated from
 is the power density spectra and  is the wavenumber. The basal depth was also calculated from .The study area was divided into twenty–five overlapped blocks for the purpose of spectral analysis as shown in Figure below. Each block covers a square area of 55 Km by 55 Km.Power spectral analysis was conducted on the residual values of each of the blocks by plotting the logarithm of spectral energies against the frequency. This reveals graphs whose linear segments have gradients that are a function of the depths to the ensembles causing the anomaly. The group of such blocks is treated by statistical theory and reduced to power spectrum. The result of the analysis is plotted on a logarithmic scale against the frequency. On such a plot, if a group of sources has a similar depth, they will fall into a line of constant slope. Thus if there are groups of sources with individual groups at widely different depths, such as shallow volcanic over a deep basement, the plot will be separable into parts with different slopes and the magnitude of the slope is a measure of depth.This process was carried out for the twenty five blocks to obtain the depth to shallow
.The study area was divided into twenty–five overlapped blocks for the purpose of spectral analysis as shown in Figure below. Each block covers a square area of 55 Km by 55 Km.Power spectral analysis was conducted on the residual values of each of the blocks by plotting the logarithm of spectral energies against the frequency. This reveals graphs whose linear segments have gradients that are a function of the depths to the ensembles causing the anomaly. The group of such blocks is treated by statistical theory and reduced to power spectrum. The result of the analysis is plotted on a logarithmic scale against the frequency. On such a plot, if a group of sources has a similar depth, they will fall into a line of constant slope. Thus if there are groups of sources with individual groups at widely different depths, such as shallow volcanic over a deep basement, the plot will be separable into parts with different slopes and the magnitude of the slope is a measure of depth.This process was carried out for the twenty five blocks to obtain the depth to shallow  and deep
 and deep  causatives. The Curie point depth for each block was then obtained using the formula
 causatives. The Curie point depth for each block was then obtained using the formula  .The Figure below is the map of the Curie point isotherm of the study area.
.The Figure below is the map of the Curie point isotherm of the study area.|  | Figure 2. 3D view of the Residual Magnetic field of the study area | 
|  | Figure 3. The layout of the field of study into units of blocks for spectral analysis | 
|  | Figure 4. Result of spectral analysis for SP01 | 
|  | Figure 5. Result of spectral analysis for SP16 | 
|  | Figure 6. Curie Point Isotherm for the study area |