2021
DOI: 10.1029/2021jb022092
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Comparison of Different Coupling Methods for Joint Inversion of Geophysical Data: A Case Study for the Namibian Continental Margin

Abstract:  imaging of rift related volcanic processes at the Namibian margin through joint analysis of magnetotelluric, gravity and seismic data  3D inversion of marine magnetotelluric data is improved by cross-gradient coupling with fixed structural density modelESSOAr |

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Cited by 10 publications
(15 citation statements)
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“…In order to identify specific parameter ranges and -relationships representing the different stages of continental breakup at the Namibian margin, we analyse electrical resistivity and density models which have been derived from a joint data inversion with cross-gradient coupling, based on marine magnetotelluric-(MT) and satellite gravity data, respectively (Franz et al, 2021). Marine MT stations were deployed along two perpendicular profiles along-(profile P100) and across (profile P3) Walvis Ridge, with a stations spacing of ~10 km (Fig.…”
Section: Methodsmentioning
confidence: 99%
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“…In order to identify specific parameter ranges and -relationships representing the different stages of continental breakup at the Namibian margin, we analyse electrical resistivity and density models which have been derived from a joint data inversion with cross-gradient coupling, based on marine magnetotelluric-(MT) and satellite gravity data, respectively (Franz et al, 2021). Marine MT stations were deployed along two perpendicular profiles along-(profile P100) and across (profile P3) Walvis Ridge, with a stations spacing of ~10 km (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…Through a comparison to literature parameter values and geophysical studies, we show that the clusters can indeed distinguish lithologies or rock types linked to the continental breakup stages. The applied data, inversion scheme, sensitivity-, and model analysis of the congruent resistivity and density models are described in much detail in Franz et al (2021); Jegen et al (2016); and Moorkamp et al (2011). GMM and other fuzzy clustering methods have also been used to guide joint inversion schemes by adding petrophysical data and improving subsequent geological interpretations (e.g.…”
Section: Methodsmentioning
confidence: 99%
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