Spectral analysis of aeromagnetic data for geothermal energy investigation of Ikogosi Warm Spring - Ekiti State, southwestern Nigeria

Abstract

Background

Aeromagnetic data of the Ikogosi warm spring region was used to calculate the basal depth of the magnetic layer (Curie point depth) in the region. The warm spring issues from a crossing of fractures from a metasedimentary suite of Effon Psammite formation which form part of the Precambrian basement complex in Nigeria.

Method

The adopted computational method transforms the spatial data into the frequency domain and provides a relationship between radially average power spectrum of the magnetic anomalies and the depths to the respective sources. Heat flow density and equivalent depth extent of heat production from radioactive isotopes in the area were also evaluated.

Results

The average Curie point depth for the Ikogosi warm spring area is 15.1 ± 0.6 km and centres on the host quartzite rock unit. The computed equivalent depth extent of heat production provides a depth value (14.5 km) which falls within the Curie point depth margin and could indicate change in mineralogy. The low Curie point depth observed at the warm spring source is attributed to magmatic intrusions at depth. This is also evident from the visible older granite intrusion at Ikere - Ado-Ekiti area, with shallow Curie depths (12.37 ± 0.73 km).

Conclusions

Results indicate that the area is promising for further geothermal explorations.

Background

The Ikogosi Warm Spring is located in the southwestern part of Ekiti State of Nigeria. It is situated between lofty steep-sided and heavily wooded, north-south trending hills about 17 miles (approximately 27.4 km) east of Ilesha, and about 6.5 miles (approximately 10.4 km) southeast of Effon Alaye (Rogers et al. [1969]). It lies on the geographic latitude of 7°35′N and longitude 5°00′E (Figure 1) within the central region of the area covered by this study. Located within the Precambrian basement complex of southwestern Nigeria, it is at an altitude of 450 to 500 m (Adegbuyi and Abimbola [1997]).

Figure 1

Location of Ikogosi Warm Spring in the basement complex of Nigeria (after Adegbuyi and Abimbola[1997]). The dominant geology of Nigeria made mainly by crystalline (Precambrian basement complex) and sedimentary rocks (Cretaceous recent sediments) are also represented. The map also shows the locations of seismicity (modified from Eze et al. [2011]). The Ibadan and Ijebu Ode locations of seismicity appear closest to the study area.

The area covered by this study lies approximately between geographic latitudes 7°00′N and 8°00′N and geographic longitude 4°30′E and 5°30′E within the Precambrian of southwestern Nigeria. The area is covered by the aeromagnetic map sheet 243 (Ilesha), 244 (Ado-Ekiti), 263 (Ondo) and 264 (Akure) spanning an area of approximately 12,400 km². Adegbuyi and Abimbola ([1997]) performed an extensive research on the energy resource potential of the Ikogosi Warm Spring area using the technique of Instrumental Neutron Activation Analysis (INAA). They investigated the radiochemical contents of uranium (U), thorium (Th) and potassium (K) in a surface rock collection from the area and predicted the source of the warm spring’s heat to be radioactive probably acquired by meteoric water at depth from thorium-bearing zones of the quartzite host rock of the spring. Samples of the warm spring water and host quartzite rock collected from Ikogosi area were analysed for the fluid physio-chemical characteristics and rock radioactivity in a bid to predict the source of water and the associated heat content (Rogers et al. [1969]; Loehnert [1985]; Adegbuyi et al. [1996]). The results were almost similar with predictions made about radioactivity and high geothermal gradient responsible for the heat of the Ikogosi Warm Spring. Joshua and Alabi ([2012]) investigated the pattern of radiogenic heat production in rock samples of southwestern Nigeria while Oladipo et al. ([2005]) carried out hydrochemical analysis on water samples from the Ikogosi Warm Spring in southwestern Nigeria. Earlier studies of the warm spring have been restricted to geological and geochemical investigations (Rogers et al. [1969]; Loehnert [1985], Adegbuyi et al. [1996]; Ajayi et al. [1996]). Ojo et al. ([2011]) carried out an investigation of the geological structure beneath the Ikogosi Warm Spring in southwestern Nigeria using integrated surface geophysical methods. They integrated vertical electrical sounding (VES) and magnetic methods in the immediate vicinity of the Ikogosi Warm Spring with a view to delineate its subsurface geological sequence and evaluate the structural setting beneath the warm spring. They used inverse magnetic models and geoelectrical sections to delineate fractured quartzite/faulted areas within fresh massive quartzite at varying depths. It was deduced that the fractured/faulted quartzite may have acted as conduit for the movement of warm groundwater from profound depths to the surface while the spring outlet was located on a geological interface (lineament).

The present study attempts to determine the depths to the top and bottom of the magnetized crust and to characterize the heat flow within the Ikogosi Warm Spring area using Curie point depth (CPD) estimates from spectral analysis of aeromagnetic data. Results will be invaluable to electricity generation companies in Nigeria, especially now that alternative sources of power generation in Nigeria are being explored. The CPD is known as the depth at which the dominant magnetic mineral in the crust passes from a ferromagnetic state to a paramagnetic state under the effect of increasing temperature (Nagata [1961]). For this purpose, the basal depth (depth to the bottom) of a magnetic source from aeromagnetic data is considered to be the CPD (Dolmaz et al. [2005]).

Geological setting

About two thirds of Nigeria’s landmass is underlain by the Precambrian basement complex (Figure 1). The crystalline rocks in Nigeria are made up of the Precambrian basement complex and the Phanerozoic rocks. These crystalline basement rocks have been subjected to deformation of different intensities throughout the geological period. Consequently, NS, NE-SW, NW-SE, NNE-SSW, NNW-SSE and to a less extent, E-W fractures have developed (Olujide and Udoh [1989]; Eze et al. [2011]). The Precambrian basement rocks consist of the migmatite-gneissic-quartzite complex dated Archean to early Proterozoic (2,700 to 2,000 Ma). Other units include the NE-SW trending schist belts mostly developed in the western half of the country and the granitoid plutons of the Older Granite suite dated Late Proterozoic to early Phanerozoic (750 to 450 Ma). The main lithologies of the southwestern (SW) Nigeria basement complex includes the amphibolites, migmatite gneisses, granites and pegmatites. Others are the schist made up of biotite, quartzite, talk-tremolite and the muscovite. Crystalline rocks intruded into these schistose rocks (Oyinloye [2011]). The basement complex is in places intruded and interspersed also by the older granites which originated in the Pan-African orogeny. Basement complex rocks in Nigeria have been subjected to deformation of different intensities throughout the geological period. Consequently, fractures have developed.

The warm spring issues with a temperature of 38°C near the foot of the eastern slope of the north-south trending ridge from a thin quartzite unit within a belt of quartzite which includes quartz-mica schist and granulitic migmatite east of Ilesha (Figure 2). The Okemesi quartzite member is characterized by a North-South trending ridge called the Effon ridge (Elueze [1988]; Oyinloye [1992]). The quartzitic rocks are composed of dominant quartz with muscovite, chlorite and sericite occurring in minor proportions (Adegbuyi and Abimbola [1997]). Rogers et al. ([1969]) suggested that the source of springs in the Effon Psammite formation is associated with a faulted and fractured quartzite band sandwiched between schists. Chemical data show that quartzite is largely metamorphosed sandstones containing minor arkosic intercalations (Olade and Elueze [1979]; Elueze [1988]). On the basis of petrology, a medium pressure Barrovian and low medium pressure types of metamorphism had been suggested for the Precambrian basement rocks in southwestern Nigeria (Oyinloye [2011]). Chuku-Ike and Norman ([1977]) and Mbonu ([1990]) believe that the intersections of the NNE-SSW epeirogenic belts with the NW-SE fracture trends in Nigeria coincide with the centres of warm springs like the Wikki (Bauchi State) and Ikogosi (Ekiti State) springs. The issue of the springs is controlled by permeability developed within the quartzite as a result of intergranular pore spaces coupled with fracturing of the relatively competent quartzite (Rogers et al. [1969]).

Figure 2

Geological map of the study area. The Effon Psammite formation associated with the faulted and fractured quartzite band sandwiched between schists (Effon Alaiye location) can be seen on the map.

Nigeria is not situated on any known seismic belt, yet between 1933 and 2000, Nigeria experienced fifteen seismic events, three of which occurred in 1 year (Figure 1). The intensities of these events ranged from III to VI based on the modified Mercalli Intensity Scale. Three of the events, the 1984 seismicity at Ijebu Ode, the 1990 at Ibadan and 2000 at Jushi-Kwari were instrumentally recorded. They had body wave magnitudes ranging from 4.3 to 4.5, local magnitudes between 3.7 and 4.2, and surface wave magnitudes of 3.7 to 3.9 (Ajakaiye et al. [1987]; Akpan and Yakubu [2010]; Eze et al. [2011]). Two of them (Ibadan and Ijebu Ode measurements) are located close to our study area (the Ikogosi Warm Spring area). Some of the important fault systems in Nigeria are the Ifewara, Zungeru, Anka and Kalangai fault systems. They are interpreted to have resulted from transcurrent movements (Garba [2003]; Eze et al. [2011]). Of these, only the Ifewara fault is located in the region of this study. Adepelumia et al. ([2008]) confirmed the existence of Ifewara shear zone formed by sharing activities during Late Precambrian times using multi-spectral scanner (MSS) and side-looking airborne radar (SLAR) images. They identified a NNE-SSW trending Ifewara fault system in the area and showed that the 250 km-long NE-SW trending Ifewara fault zone could be linked with Atlantic fracture system. Burke et al. ([1977]) and Hubbard ([1975]) believed that the pronounced age difference on both sides of the fault zone suggests that the zone may indeed be a suture of Kibaran age. Burke ([1969]) suggested possible relationship between the epicentres of some of the West African earthquakes and continentward extensions of oceanic fractures into the landmass. Stresses built up around plate boundaries could travel toward the centre of the plate triggering intraplate seismicity especially in pre-existing faults. The coastal area of Nigeria lies in close proximity to the boundary between the African plate and South American plate. Some of the seismic activities that occurred in the coastal areas of Nigeria have been possibly initiated by this process (Eze et al. [2011]).

Methods

Regional magnetic feature and geology

A high-resolution aeromagnetic survey over the Ikogosi Warm Spring and its surroundings was conducted between 2004 and 2008 and published by the Geological Survey of Nigeria (GSN) on a map scale of 1:100,000 series. The various map sheets obtained were processed and merged together to a common dataset. They were transformed to a total field anomaly dataset and gridded at 0.5 km. The analysis of magnetic field used reduced to the pole data (RTP). The RTP correction applied assumed a declination of −3° and an inclination of −10° for this region utilizing the method of Silva ([1986]). Figure 3 shows the geomagnetic anomaly field map of the study area. The map had the regional geomagnetic field and the effects of diurnal magnetic variations removed.

Figure 3

Geomagnetic anomaly field map of the study area. The data was reduced to the pole assuming a declination of −3° and an inclination of −10° for this region. Notable (positive) anomalies are observed at the Oshogbo, Okemesi and Ilesha locations reaching values of 60 to 112 nT. Positive anomalies of 50 to 70 nT are also observed at the Ijero-Ekiti and within the towns of Ado-Ekiti. Negative magnetic anomalies ranging from −30 to −156 nT have been noted in the towns of Erinmo, Ifewara, Oriade, Ikogosi and Okeigbo.

The magnetic map and geologic map shows a good correlation between exposed geologic units and magnetic signatures. The strong variations in magnetic intensity suggest a wide variety of different magnetic properties. Notable (positive) anomalies are observed at the Oshogbo, Okemesi and Ilesha locations (Figure 3) reaching values of 60 to 112 nT. This tends to correspond with the exposed undifferentiated metasediments noted in these locations (Figure 2). Positive anomalies of 50 to 70 nT are also observed at the Ijero-Ekiti location whose probable source could be traced to the undifferentiated metasediments in this region. Within the towns of Ado-Ekiti and Ikere, positive magnetic anomalies of 80 to 110 nT were obtained. We traced this observation to the Older Granites domiciled in this region. In other regions of the map encompassing the towns of Erinmo, Ifewara, Oriade, Ikogosi and Okeigbo, negative magnetic anomalies ranging from −30 to −156 nT have been noted. The belt of quartzite, quartz-mica schist and granulitic migmatite encapsulated by the quartzite belt in the region is identified with this observation. This quartzite is part of the Okemesi quartzite member of the Effon Psammite formation (east of Ilesha) belonging to the Ife-Ilesha schist belt of the Precambrian basement complex of Nigeria (Loehnert [1985]; Adegbuyi et al. [1996]). The Ikogosi town (study location) has magnetic lows of −0.46 to −35 nT, extending westwards. This location is also part of the fractured quartzite unit in the formation.

One of the methods of examining thermal structure of the crust is the estimation of the CPD, using aeromagnetic data (Dolmaz et al. [2005]). Various studies have shown correlations between Curie temperature depths and average crustal temperatures, leading to viable conclusions regarding lithospheric thermal conditions in a number of regions around the world (Ross et al. [2006]). The mathematical model on which our analysis is based is a collection of random samples from a uniform distribution of rectangular prisms, each prism having a constant magnetization. Two fundamental methods serve as a basis of all subsequent analysis, first provided by Spector and Grant ([1970]), estimating the average depths to the top of the magnetized bodies from the slope of the log power spectrum and second by Bhattacharyya and Leu ([1975]) for obtaining the depth to the centroid of the causative body. The method can provide valuable information about the regional temperature distribution at depths not easily examined using other methods (Okubo et al. [1985]). The Curie temperature isotherm corresponds to the temperature at which magnetic minerals lose their ferromagnetism (approximately 580°C for magnetite at atmospheric pressure). Magnetic minerals warmer than their Curie temperature are paramagnetic and from the perspective of the earth’s surface are essentially nonmagnetic (Ross et al. [2006]). Thus the Curie temperature isotherm corresponds to the basal surface of magnetic crust and can be calculated from the lowest wavenumbers of magnetic anomalies, after removing the approximate regional field from the aeromagnetic data (e.g. Bhattacharyya and Morley [1965]; Spector and Grant [1970]; Mishra and Naidu [1974]; Byerly and Stolt [1977]; Connard et al. [1983]; Hamdy et al. [1984]; Blakely [1988]; Tanaka et al. [1999]; Salem et al. [2000]; Ross et al. [2006]).

We applied the methods of Spector and Grant ([1970]), Okubo et al. ([1985]) and Trifonova et al. ([2006]), which examined the spectral knowledge included in subregions of magnetic data for our analysis.

Spectral analysis

The earliest papers on Curie point depth determination based on spectral analysis of geomagnetic data are those of Byerly and Stolt ([1977]) where analyses for different areas of USA have been published. More recently, investigations have been made for parts of the territory of Japan (by Okubo [1985, 1989, 1994]), USA (by Mayhew [1985]; Blakely [1988]), Greece (Tsokas et al. [1998]; Stampolidis and Tsokas [2002]), Portugal (Okubo et al. [2003]), Bulgaria (Trifonova et al. [2006, 2009]) and Turkey (Dolmaz et al. [2005]; Maden [2009]). Authors consider the power spectrum of the total geomagnetic field intensity anomaly over a single rectangular block using the expression, which was first given by Bhattacharyya ([1965]). The equation was transformed into polar wavenumber coordinates (S,ψ), and the average depths to the top of magnetized bodies from the slope of the log power spectrum were calculated. The model has proven successful in estimating average depths to the tops of magnetized bodies (Trifonova et al. [2006]).

One principal result of Spector and Grant’s analysis is that the expectation value of the spectrum for the model is the same as that of a single body with the average parameters for the collection (Okubo et al. [1985]).

In polar coordinates (S,ψ) in frequency space, this spectrum has the form

\mathit{F}\left(\mathrm{S},\mathrm{\psi }\right)=2\mathrm{\pi }\mathit{JA}\left[\mathit{N}+\mathit{i}\left(\mathit{L}cos\mathrm{\psi }+\mathit{M}sin\mathrm{\psi }\right)\right]\times \left[\mathit{n}+\mathit{i}\left(\mathit{l}cos\mathrm{\psi }+\mathit{m}sin\mathrm{\psi }\right)\right]

(1)

\times sin\mathit{c}\left(\mathrm{\pi }\mathit{sa}cos\mathrm{\psi }\right)sin\mathit{c}\left(\mathrm{\pi }\mathit{sb}sin\mathrm{\psi }\right)

\times exp\left(-2\mathrm{\pi }\mathit{is}\left({\mathit{x}}_{\mathrm{o}}cos\mathrm{\psi }+{\mathit{y}}_{\mathrm{o}}sin\mathrm{\psi }\right)\right)

\times \left[exp\left(-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{t}}\right)-exp\left(-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{b}}\right)\right]

where J = magnetization per unit volume; A = average cross-sectional areas of the bodies; L, M, N = direction cosines of the geomagnetic field; l, m, n = direction cosines of the average magnetization vector; a and b = average body x- and y-directions, x_o and y_o = average body x- and y-centre locations and z_t and z_b = average depths to the top and bottom of the bodies, and where

\mathrm{sinc}\left(\mathit{x}\right)=\frac{sin\mathit{x}}{\mathit{x}}

Following Bhattacharyya and Leu ([1975, 1977]), estimation of the bottom depths could be approached in two steps: first, find the centroid depth z_o and second, determine the depth to the top z_t. The depth to the bottom (inferred CPD) is calculated from these values:

{\mathit{z}}_{\mathrm{b}}=2{\mathit{z}}_{\mathrm{o}}-{\mathit{z}}_{\mathrm{t}}

(2)

The terms involving z_t and z_b can be recast into a hyperbolic sine function of z_t and z_b plus a centroid term. At very long wavelengths, the hyperbolic sine tends to unity, leaving a single term containing z_o, the centroid. At somewhat shorter wavelengths, the signal from the top dominates the spectrum and an estimate of the depth to the top can be obtained (Okubo et al. [1985]). If we begin with the centroid, at very long wavelengths (compared to the body dimensions), the terms involving the body parameters (a, b, and z_b-z_t) may be approximated by their leading terms, to yield

\mathit{F}\left(\mathrm{S},\mathrm{\psi }\right)=4\mathrm{\pi }\mathit{VJs}\left[\mathit{N}+\mathit{i}\left(\mathit{L}cos\mathrm{\psi }+\mathit{M}sin\mathrm{\psi }\right)\right]\times \left[\mathit{n}+\mathit{i}\left(\mathit{l}cos\mathrm{\psi }+\mathit{m}sin\mathrm{\psi }\right)\right]

(3)

\times exp\left(-2\mathrm{\pi }\mathit{is}\left({\mathit{x}}_{\mathrm{o}}cos\mathrm{\psi }+{\mathit{y}}_{\mathrm{o}}sin\mathrm{\psi }\right)\right)

\times exp\left(-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{o}}\right),

where V is the average body volume.

Equation 3 can be recognized as the spectrum of a dipole.

In effect, the ensemble average at these very low frequencies is that of a random distribution of point dipoles. What follows, therefore, is independent of the details of the body parameters (prisms, cylinders or whatever), provided that the dimensions in all directions are comparable. The method of Okubo et al. ([1985]) was used in estimating z_o from Equation 3:

If \mathit{G}\left(\mathrm{S},\mathrm{\psi }\right)=\frac{1}{\mathit{s}}\mathit{F}\left(\mathrm{S},\mathrm{\psi }\right)

First, average the square amplitude of G over an angle in the frequency plane

{\mathit{H}}^2\left(\mathit{s}\right)=\frac{1}{2\mathrm{\pi }}{\displaystyle \underset{-\mathrm{\pi }}{\overset{\mathrm{\pi }}{\int }}}{\left|\mathit{G}\left(\mathrm{S},\mathrm{\psi }\right)\right|}^2\mathit{d}\mathrm{\psi }

(4)

Then H(s) has the form

\mathit{H}\left(\mathit{s}\right)=\mathit{A}exp\left(-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{o}}\right)

if F satisfies Equation 3, where A is a constant. Hence,

ln\mathit{H}\left(\mathit{s}\right)=ln\mathit{A}-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{o}}

(5)

holds. The centroid depth z_o can now be estimated by least-squares fitting ln H(s) with a constant and a term linear in s.

The second step is the process of estimating the depth to the top. For this purpose, we return to Equation (1) and assume that a range of wavelengths can be found for which the following approximations hold:

\mathrm{sinc}\left(\mathrm{\pi }\mathrm{\pi a}cos\mathrm{\psi }\right)\approx 1,

\mathrm{sinc}\left(\mathrm{\pi }\mathrm{\pi a}sin\mathrm{\psi }\right)\approx 1,

and

exp\left(-2\mathrm{\pi }\mathit{sa}{\mathrm{z}}_{\mathrm{b}}\right)\approx 0.

For these approximations to make sense, the bodies must in general be large in depth compared to their horizontal dimensions. However, if the distribution of horizontal body dimension is very broad, a similar effect will be produced by variability in terms corresponding to the horizontal body dimensions.

If the above approximation holds, the spectrum reduces to the form

\mathit{F}\left(\mathrm{S},\mathrm{\psi }\right)=2\mathrm{\pi }\mathit{JA}\left[\mathit{N}+\mathit{i}\left(\mathit{L}cos\mathrm{\psi }+\mathit{M}sin\mathrm{\psi }\right)\right]\times \left[\mathit{n}+\mathit{i}\left(\mathit{l}cos\mathrm{\psi }+\mathit{m}sin\mathrm{\psi }\right)\right]

(6)

\times exp\left(-2\mathrm{\pi }\mathit{is}\left({\mathit{x}}_{\mathrm{o}}cos\mathrm{\psi }+{\mathit{y}}_{\mathrm{o}}sin\mathrm{\psi }\right)\right)

\times exp\left(-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{t}}\right)

which is very similar to Equation 3, except for a factor of s. Equation 6 is in fact the spectrum of a monopole.

Estimation of z_t is therefore done using

{\mathit{K}}^2\left(\mathit{s}\right)=\frac{1}{2\mathrm{\pi }}{\displaystyle \underset{-\mathrm{\pi }}{\overset{\mathrm{\pi }}{\int }}}{\left|\mathit{F}\left(\mathrm{S},\mathrm{\psi }\right)\right|}^2\mathit{d}\mathrm{\psi }

(7)

from which

\mathit{k}\left(\mathit{s}\right)=\mathit{B}exp\left(-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{t}}\right)

follows, where B is a sum of constants independent of s,

then from

ln\mathit{K}\left(\mathit{s}\right)=ln\mathit{B}-2\mathrm{\pi }\mathit{s}{\mathit{z}}_{\mathrm{t}}

(8)

and fit ln K (s) with a constant and a term linear in s.

The reliability of this method has been proven in many cases (e.g. Okubo [1994]; Tsokas et al. [1998]; Trifonova et al. [2006]). Fast Fourier transform (FFT) estimates Fourier components between zero frequency and the Nyquist limit imposed by the grid cell size. The Nyquist frequency is the highest frequency (short wavelength) that is possible to measure given a fixed sample interval (Yawsangratt [2002]). It is defined by the expression (Clement [1972]; Billing and Rechards [2000]),

\mathit{N}=\frac{1}{\left(2\mathit{\Delta x}\right)}

(9)

where ∆x is the sampling interval.

The sampling interval used during the analysis of data in this work, 500 m (0.50 km), directly imposes a Nyquist frequency of 1 km on the data.

Conductive heat flow

The basic relation for conductive heat transport is Fourier’s law (Tanaka et al. [1999]). In one-dimensional case under the assumptions that the direction of the temperature variation is vertical and the temperature gradient \raisebox{1ex}{$\mathrm{dT}$}\!\left/ \!\raisebox{-1ex}{$\mathrm{dz}$}\right. is constant, Fourier’s law takes the form

\mathit{q}=\mathit{k}\frac{\mathrm{dT}}{\mathrm{dz}}

(10)

where q is the heat flux and k is the coefficient of thermal conductivity.

According to Tanaka et al. ([1999]), the Curie temperature (θ) can be obtained from the Curie point depth z_b and the thermal gradient \raisebox{1ex}{$\mathrm{dT}$}\!\left/ \!\raisebox{-1ex}{$\mathrm{dz}$}\right. using the following equation:

\mathrm{\theta }=\left(\frac{\mathrm{dT}}{\mathrm{dz}}\right){\mathit{z}}_{\mathrm{b}}

(11)

In this equation, it is assumed that the \raisebox{1ex}{$\mathrm{dT}$}\!\left/ \!\raisebox{-1ex}{$\mathrm{dz}$}\right. is constant.

From Equations 10 and 11,

{\mathit{z}}_{\mathrm{b}}=\mathit{k}\frac{\mathrm{\theta }}{\mathit{q}}

(12)

Tanaka et al. ([1999]) showed that any given depth to a thermal isotherm is inversely proportional to heat flow, where q is the heat flow. This equation implies that regions of high heat flow are associated with shallower isotherms, whereas regions of lower heat flow are associated with deeper isotherms (Ross et al. [2006]). An average surface heat flow value was computed using Equations 10 and 11 and was based on possible Curie point temperature of 580°C using a thermal conductivity of 2.5 Wm⁻¹°C⁻¹, given by Stacey ([1977]) as the average for igneous rocks.

Radiogenic heat generation

The presence of thorium-rich accessory minerals, such as monazite, zircon and rutile is usually linked to micaceous zones in radio-active porphyritic and coarse granite (Ragland and Roger [1961]; Gerard and Kappelymeyer [1987]). Such granitic rock bodies are found to be suitable nuclear resources including the uraniferous sandstone and marginal marine sediments. Using the scanning electron microscope to determine the spot chemical composition and empirical formulae of nearly all rock-forming minerals in the rocks of the basement complex of southwestern Nigeria, Oyinloye ([2011]) discovered the mineral, monazite. He concluded that this mineral was present as a notable accessory mineral in all the crystalline rocks of the basement complex in Ilesha area even in the amphibolites which is supposed to be igneous. Monazite is a phosphate of the rare earth elements, especially the light ones. The petrogenetic implication of the presence of monazite in the crystalline rocks of southwestern Nigeria is that the initial magma from which the precursor rocks were formed contains some input from the crustal or sedimentary source. There is therefore the possibility of a uranium/thorium bearing unit at a vertical depth in the micaceous-quartzite rock unit of the Ikogosi Warm Spring area (Adegbuyi and Abimbola [1997]). The majority of the continental heat flow originates from the decay of radioactive isotopes in the crust, thus finding areas with high isotope concentration can be equal to finding areas with high heat flow (Holmberg et al. [2012]).

Radiogenic heat production (RHP), H (μW/m³) is related to the decay of primarily, the radioactive isotopes ²³²Th, ²³⁸U and ⁴⁰K and can be estimated based on the concentration (C) of the respective elements (Rybach [1988]; Holmberg et al. [2012]) through Equation 13:

\mathit{H}=\mathit{\rho }\left(9.52{\mathit{C}}_{\mathrm{U}}+2.56{\mathit{C}}_{\mathrm{Th}}+3.48{\mathit{C}}_{\mathrm{K}}\right){10}^{-5}

(13)

where ρ is the density of the rock and its concentrations in uranium (C_u), thorium (C_Th) are given in weight/parts per million and weight percent for potassium (C_K).

Heat flow depends critically on radioactive heat production in the crust. The two primary effects are thus that continental heat flow is proportional to the surface crustal radioactivity in a given region and decreases with time since last major tectonic event (Stein [1995]). Heat flow must be a continuous function inside the earth; in particular, it will be the same on both sides of the boundary separating the crust from the mantle (Masters and Constable [2013]). A plot of heat flow and heat production rate from radioactivity of rocks revealed a linear distribution which can be fitted with a linear equation of the form:

{\mathit{q}}_{\mathrm{s}}={\mathit{q}}_{\mathrm{m}}+{\mathit{q}}_{\mathrm{r}}

(14)

where q_s is the surface heat flow and q_m is the mantle heat flow (heat flow into the base of the crust). The total contribution of heat production in the crust to the surface heat flow q_r is therefore,

{\mathit{q}}_{\mathrm{r}}=\mathit{\rho }{\mathit{H}}_{\mathrm{s}}{\mathit{z}}_{\mathrm{r}}

(15)

where ρ is density of the crust, H_s is the heat production measured in rocks collected at the surface, z_r could be interpreted as the ‘equivalent depth extent of heat production’, that is, the extent to which the heat production measured at the surface (H_s) extends to depth if we consider distribution models for radioactivity in the crust and extent of heat production (Stuwe [2008]). Masters and Constable ([2013]) had assumed that z_r is much less than the thickness of the continental crust. Clearly, in nature, radioactivity is not constant in the crust down to z_r and zero below that, but this model gives us a fair indication of the proportion of surface heat flow that is due to radioactivity (Stuwe [2008]).

Results

Map division into overlapping subregions

In the estimation of depths to the Curie temperature in Oregon, for example, Connard et al. ([1983]) divided a magnetic survey into overlapping cells (77 × 77 km) and calculated for each cell a radially average power spectrum. However, the spectrum of the map only contains depth information to a depth of length (L)/2π (Shuey et al. [1977]). If the source bodies have bases deeper than L/2π, the spectral peak occurs at frequency lower than the fundamental frequency for the map and cannot be resolved by spectral analysis (Salem et al. [2000]).

Our method has evolved from published methods. Rather than dividing the aeromagnetic data into overlapping subregions of equal dimension on a uniform grid, we selected subregions of dimension 55 × 55 km across the entire magnetic map and additional random blocks at prominent magnetic anomaly regions. We ensured at least 50% overlap of the blocks and our choice of 55 × 55 km dimension was adopted from the size of each of the four map sheets incorporated for the total field intensity map. The number of overlapping blocks of 22 was discretionary, guided by the concentration of prominent magnetic anomalies on the map. The coordinates at the centre of each block, representing the sampled point, were noted for the CPD location. We adopted the current method to enable sampling of more data points. Given the location of the Ikogosi Warm Spring (7°35′N, 5°00′E) at the centre of the aeromagnetic map investigated, our method enabled adequate probing of the warm spring area. Figure 4 shows the sampled points for the CPD analysis realized from our method.

Figure 4

Geomagnetic anomaly field map of the study area. The black circular dots represent the sampled points obtained from the 22 overlapping blocks of size, 55 × 55 km.

For simplification of the approach used in our CPD analysis (Bhatacharyya and Leu [1975, 1977]; Okubo et al. [1985]), we resolve these steps to Equation 16 for deriving the depth to the centroid (z_o) and Equation 17 for estimation of the depth to the top boundary (z_t) of that distribution:

ln\left[\frac{\mathit{P}{\left(\mathit{s}\right)}^{1/2}}{\left|\mathit{s}\right|}\right]=ln\mathit{A}-2\mathrm{\pi }\left|\mathit{s}\right|{\mathit{z}}_{\mathrm{o}}

(16)

ln\left[\mathit{P}{\left(\mathit{s}\right)}^{1/2}\right]=ln\mathit{B}-2\mathrm{\pi }\left|\mathit{s}\right|{\mathit{z}}_{\mathrm{t}}

(17)

where P(s) is the radially averaged power spectrum of the anomaly, |s| is the wavenumber, A is a constant and B is a sum of constants independent of |s|. Then the basal depth (z_b) of the magnetic source is calculated from Equation 2. The obtained basal depth of a magnetic source is assumed to be the CPD. FFT was used to convert the space domain grid data to the Fourier domain. The radially average log power spectrum of each block was computed using MAGMAP filtering program (GEOSOFT MAGMAP [2007]). The radially averaged energy represents the spectral density (energy) averaged for all grid elements at the wavenumber. Figure 5 shows the example of the radially averaged power spectrum plot for block 5 of the 22 blocks. From the centroid depth of 7.60 ± 0.06 km and depth to the top of 0.78 ± 0.02 km, CPD is calculated as 14.42 ± 0.53 km with percentage uncertainty at 3.7 for this block. The 22 estimated CPD values of the study area range from 11.5 to 21.9 km. Table 1 and Figure 6 shows the CPD values and CPD map of the study area, respectively.

Figure 5

Example of radially average power spectrum for estimation of the CPD using the two-dimensional magnetic anomaly data of Block 5. Depths of 7.60 and 0.78 km are obtained as the centroid and top bound using the gradient of spectra defined as ln (P^1/2/|s|) and ln (P^1/2), where |s| is the wavenumber and P(s) is the radially average power spectrum.

Considering Equation 14 and supposing we take a uniform distribution of heat-producing elements and use a value for H typical of granite (H = 9.6 × 10^− 10Wkg^− 1) (Fowler [2005]; Masters and Constable [2013]), the contribution to q_s from heat-producing elements in the crust is q_m = ρ Hz = 91 mWm^− 2, using ρ = 2, 700 kg m^− 3 and z = 35 km (assumed depth of crust):

{\mathit{q}}_{\mathrm{m}}=-\mathit{q}\left(35\right)=-91{\mathrm{mWm}}^{-2}

(18)

The negative sign indicates that z is pointing in the opposite direction of q (Masters and Constable [2013]). From Equations 14 and 15, we have

\frac{{\mathit{q}}_{\mathrm{s}}-{\mathit{q}}_{\mathrm{m}}}{\mathit{\rho }{\mathit{H}}_{\mathrm{s}}}={\mathit{z}}_{\mathrm{r}}

(19)

In the terrestrial continental crust, the average heat flow is between 65 mW/m² and 48 mW/m². For our calculations, we assumed a surface heat flow value of 65 mW/m² for continental lithosphere (Pollack et al. [1993]). We adopted the concentrations of U, Th and K in surface rocks collected from the Ikogosi Warm Spring region, given in average concentration values of 6.68 ppm U, 27.19 ppm Th and 5.77% K for both quartzite and schistose rock types (Adegbuyi and Abimbola [1997]). Equation 13 was applied in Equation 19 with the average density of quartzite taken as 2650 kgm^− 3 (Marciniszyn et al. [2013]).

Discussion

According to Ross et al. ([2006]), in places where heat flow information is inadequate, the depth to the Curie temperature isotherm may provide a proxy for temperature-at-depth. The map in Figure 6 shows the CPD for the Ikogosi Warm Spring area, determined by applying a minimum curvature algorithm to the CPD values in Table 1. To quantify the error in the estimated CPD, we evaluated the standard and statistical errors of the power density spectrum from the linear fit using the definition of the error adopted from Trifonova et al. ([2009]) and Okubo and Matsunaga ([1994]). The results of the spectral analysis of aeromagnetic anomalies over the Ikogosi Warm Spring area show Curie point depth minimum estimates range between 11.5 ± 1.6 and maximum estimates 21.9 ± 1.7 km (Table 1) with an average value of 15.1 ± 0.6 km. Studies have shown that the Curie point depth is linked to the geological context. Tanaka et al. ([1999]) pointed out that the Curie point depths are shallower than about 10 km at volcanic and geothermal areas, 15 to 25 km at island arcs and ridges, deeper than 20 km at plateaus and deeper than 30 km at trenches. The warm spring presence in the study area qualifies the area for the second description. Loehnert ([1985]) and Adegbuyi et al. ([1996]) had submitted that the warm spring issues with temperature range of 37°C to 38.5°C near the foot of the eastern slope of a north-south trending ridge from a thin quartzite unit within a belt of quartzite.

Table 1 Re sults of spectral analysis and depth estimations of magnetic sources including error estimation of the study area

In particular, depths to the base of magnetic crust determined from subregions centred over the Ikogosi Warm Spring area are generally shallower than those determined for areas farther from the warm spring source. Shallow CPD values are also noted farther from the spring source and within the Ikere, Ado-Ekiti and east of Akure. These regions do not fall within the highly fractured quartzite belt stretching in the NNE-SSW direction (Figure 2), considered an aquifer system with relatively high storage capacity (Loehnert [1985]); hence, the lack of physical heat signatures as compared with the Ikogosi Warm Spring area where the aquifer system along with faults and shallow CPDs results in the warm spring. In addition to this observation, the shallow Curie depth observed could be a result of the intruded Older Granite unit spotted in that region. This peculiar observation led us to assert that the low CPD at the spring source location could also be due to magmatic intrusion at depth in the highly fractured quartzite unit. Olujide and Udoh ([1989]) had asserted that the basement complex of Nigeria is in places intruded and interspersed by older granites which originated in the Pan-African orogeny. Generally, at depths of 100 to 200 m, normal increase in temperature with depth (geothermal gradient of 35°C km⁻¹ for crystalline non-seismic terrains of the world) cannot sufficiently explain the rather small temperature difference (about 12°C) between the adjacent warm and cold springs of the Ikogosi area (Adegbuyi and Abimbola [1997]). The sharp increase of CPD away from the warm spring source location (Figure 6) provides a fair satisfactory explanation. We conclude that the source of the warm spring sits on a very shallow CPD in sharp contrast to the cold spring (a tributary of the Owena River, Rogers et al. [1969]) source which confluences with the warm spring.

Figure 6

Curie point depth map of the study area. Depths were obtained by two-dimensional spectral analysis of the geomagnetic data using 22, 50% overlapping square blocks 55 km in size.

Curie temperature depends on magnetic mineralogy (Tanaka et al. [1999]). We agree with the conclusions of Schlinger ([1985]) and Frost and Shive ([1986]) that magnetite is the dominant magnetic mineral contributing to the long wavelength magnetic anomalies in the continental crust; hence, 580°C is a reasonable Curie temperature for deep crustal rocks (Ross et al. [2006]). We have been constrained by lack of data on temperature measurements at depth in the region of study and indeed the entire crystalline basement complex of Nigeria. The closest temperature gradient measurement was done by Verheijen and Ajakaiye ([1979]). This was conducted in available boreholes located in the centre of the Nigerian Ririwai complex (being one of the granitic ring structures of younger granites province of northern Nigeria, located within the Precambrian shield) which gave a heat flow of 0.92 ± 0.04 hfu (38.5 ± 1.7 mW/m²). The result is of the same order of magnitude as what should be expected in the surrounding Precambrian basement complex at about 0.9 ± 1.2 hfu (37.6 ± 50.2 mW/m²) if the worldwide averages given by Lee and Uyeda ([1965]) and Kappelmeyer and Haenl ([1974]) are assumed to be correct (Verheijen and Ajakaiye [1979]). Obviously, no far-reaching conclusions can be drawn from a few measurements, and there is need to have measurements made in a series of boreholes located at adequate intervals within the basement complex. On the basis of insufficient temperature measurements in depth, we calculated the average heat flow from our study assuming a constant Curie temperature of 580°C and compare with the measured heat flow value from Verheijen and Ajakaiye ([1979]) and the worldwide averages for Precambrian basement complex. While our average heat flow of 91.2 ± 2.1 mW/m² shows significant departure from Verheijen and Ajakaiye ([1979]) value for the northern Nigeria crystalline complex, it however tends to agree with the worldwide averages’ value for Precambrian basement complex. The average heat flow in thermally ‘normal’ continental region is about 65 mW/m² (Pollack et al. [1993]). Values in excess of about 80 to 100 mW/m² indicate anomalous geothermal condition in the subsurface (Sharma [2004]). The presence of the Ikogosi Warm Spring in the region of study and the estimated average heat flow value obtained under our assumptions indicates anomalous geothermal condition in the subsurface.

The combined determinations of heat flow density and of radioactive heat production rate yield basic information about the temperature field and the structure of the earth’s crust and are indispensable to understand the interrelations between heat flow density and geology (Abbady et al. [2004]). Due to the absence of deep boreholes data for heat flow measurements within the study area, surface measurements have been used as the information source. Our calculations of RHP in the study area shows an average value of 4.06 μWm^− 2. This value appears to be relatively higher when compared to the average heat production of the Precambrian shield, 0.77 ± 0.08 μWm^− 3 given by Jaupart and Mareschal ([2003]), although they also stress that on a local scale, the variation from their value could be significant. We attribute the significant increase in our radiogenic heat flow value to the high radioelement contents (Adegbuyi and Abimbola [1997]) obtained for the dominant quartzite rocks in the region. Regardless how the heat flux data are selected, there is absolutely no correlation between heat flux and crustal thickness. If the heat flux and the total crustal heat production do not increase with crustal thickness, the concentration in heat-producing elements must decrease as the thickness of the crust increases (Mareschal and Jaupart [2013]). Recall that radioactivity is not constant in the crust down to the equivalent depth extent of heat production and zero below that (Stuwe [2008]). We calculate our equivalent depth extent of heat production (Equation 19) to obtain a value of 14.5 km and compare with the average CPD value of 15.1 ± 0.6 km obtained for the region. We observed that our equivalent depth extent of heat production lies within the CPD margin. Pollack and Chapman ([1977]) showed that RHP contributes about 45% of the surface heat flow observed over the continents, while Lachenbruch ([1970]), Swanberg ([1972]) and Lowrie ([1997]) showed that its magnitude exponentially decreases with depth. This decay indicates that RHP comes from a superficial layer of the crust, 4 to 16 km (Okeyode [2012]). Therefore, our calculated CPD could as well be a representation of the depth of total decrease of heat-producing elements or change in mineralogy in the crust.

The sources of seismicity in Nigeria include inhomogeneities and zones of weakness in the crust created by the various episodes of magmatic intrusions and other tectonic activities (Eze et al. [2011]). The possible mechanism for Nigeria’s seismicity have been attributed to the locations of earth movements associated with NE-SW trending fracture and zones of weakness extending from the Atlantic Ocean into the country (Ajakaiye et al. [1986], Ajakaiye et al. [1987], Eze et al. [2011]). We observe a concentration of seismic activity points close to the study region in the Ijebu ode and Ibadan locations (Figure 1). Adepelumia et al. ([2008]) identified a NNE-SSW trending Ifewara fault system (Figure 2) in the area and showed that the 250-km-long NE-SW trending Ifewara fault zone could be linked with Atlantic fracture system. Considering that in volcanically active regions around the world earthquake swarms associated with contemporaneous crustal deformation are often inferred to be the result of subsurface magma movements (Wright et al. [1976]), we propose that the seismic activities could be as a result of movement of, or within, magmatic intrusions in this zone which could also contribute to the low CPD obtained at the Ikogosi Warm Spring region. A thick magnetic crust suggests stable continental regions while thin magnetic crust accounts for tectonically active regions also associated with higher heat flow (Rajaram et al. [2009]).

Conclusions

We have applied spectral analysis to aeromagnetic anomalies in order to estimate the basal depth herein assumed Curie point depth, beneath the Ikogosi Warm Spring region - Ekiti State, Nigeria. We found out that the region is characterized by shallow Curie depths and high heat flow. The Ikogosi Warm Spring area is underlined by an average Curie point depth of 15.1 ± 0.6 km. This shallow CPD implies a heat flow of 91.2 ± 2.1 mW/m². We were however constrained by the lack of additional information about temperature measurements at depth so we compare our calculated heat flow result with the value expected in Precambrian basement complex. We observed that our value lies within the margins of the expected value of 37.6 ± 50.2 mW/m² (Verheijen and Ajakaiye [1979]) and conclude that our calculations seem satisfactory. We also consider the relationship between heat flow density and radioactive heat production rate to further confirm our CPD results. Our estimated equivalent depth extent of heat flow density and radioactive heat production also falls within the margins of the CPD values for the region, despite that they were computed independent of each other. We conclude that the equivalent depth extent in this respect could represent the depth of change in mineralogy in the crust. Generally, we conclude that the shallow CPD observed is due to magmatic intrusion at depth. The seismic activities recorded close to this region, a major fault presence (Ifewara fault), multiple fractures in the rock units and low CPDs could be results of movement of, or within, thin magmatic intrusions. We therefore recommend detailed temperature measurement at various depths through a series of boreholes to be located at adequate intervals within the crystalline basement complex of Nigeria. This would provide the much needed data for further studies of the origin, emplacement, geophysical and geological characteristics of the basement complex. The results obtained in this work have provided important geophysical/geological inputs which are useful to further geothermal energy exploration in the region.