Abstract:We sought to map the depth and density contrast of the Mohorovičić discontinuity (Moho) across the Red Sea area and to model sedimentary thickness from gravity data. The gravity data that are used are a combination of satellite and terrestrial gravity data processed into a Bouguer anomaly grid. A 200-km low-pass filter was used to separate this grid into regional and residual gravity grids. We inverted the regional gravity grid to a Moho depth map based on a density contrast map that is constrained by publishe… Show more
“…(a) The local wavenumber of the magnetic data of Figure 6a after upward continuing the data by a distance of 1 km (elevation of 2 km in total). (b) The depth-to-basement results assuming infinite-contact (cross symbol) and finite-contact (circle symbol) models and the depth to the bottom of the magnetic layer defined by the depth to Moho, from Salem et al (2013).…”
Section: Example From the Central Red Seamentioning
confidence: 99%
“…The top of the magnetic layer was obtained from our finite local-wavenumber solutions. The bottom of the magnetic layer was assumed to be equivalent to the Moho (Salem et al, 2013) or the Curie isotherm as discussed above. Additional contacts were added between the local-wavenumber peaks to allow better fitting of the magnetic data.…”
Section: Example From the Central Red Seamentioning
The local-wavenumber method estimates the depth to a magnetic source based on the spectral content of a single anomaly assuming that the base of the magnetic body is at infinite depth. However, the "infinite-depth" assumption can lead to significant underestimation of the depth to the top of magnetic bodies, especially in areas where the depth to the bottom of the magnetic layer is not large compared to the depth to the top, as would occur in high heat-flow regions and thinned continental margins. Such underestimation of depths has been demonstrated in model studies and using real data with seismic and well control. We evaluated a modification to the local-wavenumber approach to estimate the depth to the top of magnetic sources assuming that the depth to the bottom of the magnetic sources is controlled by the Curie temperature or crustal thickness. We applied this new method to a simple model of a continental margin and to magnetic survey data over the central Red Sea where the Curie isotherm is shallow. The effective structural index of this finite depth extent model is found to increase continuously from the continent to the ocean as the depth to the magnetic basement increases and the depth to the bottom of the magnetic layer decreases. We have also discovered in this study that the local-wavenumber maxima correlate well with major seafloor spreading magnetic reversal epochs in the central Red Sea segment.
“…(a) The local wavenumber of the magnetic data of Figure 6a after upward continuing the data by a distance of 1 km (elevation of 2 km in total). (b) The depth-to-basement results assuming infinite-contact (cross symbol) and finite-contact (circle symbol) models and the depth to the bottom of the magnetic layer defined by the depth to Moho, from Salem et al (2013).…”
Section: Example From the Central Red Seamentioning
confidence: 99%
“…The top of the magnetic layer was obtained from our finite local-wavenumber solutions. The bottom of the magnetic layer was assumed to be equivalent to the Moho (Salem et al, 2013) or the Curie isotherm as discussed above. Additional contacts were added between the local-wavenumber peaks to allow better fitting of the magnetic data.…”
Section: Example From the Central Red Seamentioning
The local-wavenumber method estimates the depth to a magnetic source based on the spectral content of a single anomaly assuming that the base of the magnetic body is at infinite depth. However, the "infinite-depth" assumption can lead to significant underestimation of the depth to the top of magnetic bodies, especially in areas where the depth to the bottom of the magnetic layer is not large compared to the depth to the top, as would occur in high heat-flow regions and thinned continental margins. Such underestimation of depths has been demonstrated in model studies and using real data with seismic and well control. We evaluated a modification to the local-wavenumber approach to estimate the depth to the top of magnetic sources assuming that the depth to the bottom of the magnetic sources is controlled by the Curie temperature or crustal thickness. We applied this new method to a simple model of a continental margin and to magnetic survey data over the central Red Sea where the Curie isotherm is shallow. The effective structural index of this finite depth extent model is found to increase continuously from the continent to the ocean as the depth to the magnetic basement increases and the depth to the bottom of the magnetic layer decreases. We have also discovered in this study that the local-wavenumber maxima correlate well with major seafloor spreading magnetic reversal epochs in the central Red Sea segment.
“…We defined z b based on Moho depths determined from the 3D inversion of gravity anomaly data constrained by seismic results (Salem et al, 2013). Because the depth of the magnetic sources is controlled by the Curie temperature of magnetic minerals, we also computed the depth of the 580°C isotherm (the Curie temperature of magnetite).…”
Section: Example From the Central Red Seamentioning
confidence: 99%
“…This then removes the need to apply an extra stage of depth corrections to the depth estimate based on the infinite depth model. This approach has already been used to demonstrate a finite depth extent version of the tilt-depth method (Salem et al, 2013), whereas the present contribution presents a modification to the local-wavenumber method to deal with layers with a finite depth extent.…”
The local-wavenumber method estimates the depth to a magnetic source based on the spectral content of a single anomaly assuming that the base of the magnetic body is at infinite depth. However, the "infinite-depth" assumption can lead to significant underestimation of the depth to the top of magnetic bodies, especially in areas where the depth to the bottom of the magnetic layer is not large compared to the depth to the top, as would occur in high heat-flow regions and thinned continental margins. Such underestimation of depths has been demonstrated in model studies and using real data with seismic and well control. We evaluated a modification to the local-wavenumber approach to estimate the depth to the top of magnetic sources assuming that the depth to the bottom of the magnetic sources is controlled by the Curie temperature or crustal thickness. We applied this new method to a simple model of a continental margin and to magnetic survey data over the central Red Sea where the Curie isotherm is shallow. The effective structural index of this finite depth extent model is found to increase continuously from the continent to the ocean as the depth to the magnetic basement increases and the depth to the bottom of the magnetic layer decreases. We have also discovered in this study that the local-wavenumber maxima correlate well with major seafloor spreading magnetic reversal epochs in the central Red Sea segment.
“…Jorgensen and Bosworth (1989) separate the gravity field using a best-fit, low-order polynomial to address a similar interpretation. Salem et al (2013) separate gravity data across the Red Sea into sediment and Moho effects based upon wavelength filtering. In each of these cases, the residual gravity can be inverted for basement depth using a method that inverts for the depth of a single interface, e.g., Cordell and Henderson (1968) in the space domain or Oldenburg (1974) using fast Fourier transforms.…”
We have developed a simple iterative gravity-inversion approach to map the basement and Moho surfaces of a rift basin simultaneously. Gravity anomalies in rift basins commonly consist of interfering broad, positive crustal-thinning anomalies and narrow, negative sedimentary-basin anomalies. In our model, we assumed that the Moho and basement surfaces are in Airy isostatic equilibrium. An initial planelayered model was iterated to fit the gravity data. We applied the process to a model in which the inverted basement and Moho surfaces matched the model surfaces well and to a gravity profile across the Kosti Basin in Sudan.
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