1. Inversion of Gravity Data Constrained by a Magnetotelluric Resistivity Model: Application to the Asal Rift, Djibouti.
- Author
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Ragueh, Rachid Robleh, Tarits, Pascal, Hautot, Sophie, and Jalludin, Mohamed
- Subjects
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PRINCIPAL components analysis , *GEOPHYSICAL prospecting , *GEOTHERMAL resources , *ELECTRICAL resistivity , *MAGNETOTELLURICS , *AMBIGUITY - Abstract
Before exploiting a geothermal resource in a volcanic setting such as the Asal rift, it is necessary to acquire a better knowledge of the subsoil, with the objective of locating the geothermal reservoir and evaluating the resource characteristic (permeability, temperature, etc.). For this type of resource, geophysical exploration methods are essential (such as gravimetry, magnetotellurics, etc.). However, a particular data type does not necessarily have the resolution and sensitivity. Furthermore, individual inversions of these geophysical data face the ambiguity of the non‐uniqueness of the inverse solution. In this paper, we present a new linear approach of gravity data using the constraint of a MT resistivity model. We coupled the resistivity and density using inversion cross‐gradients and the linear correlations. The approach was tested and validated on synthetic data and applied to gravity and MT data in the Asal Rift. Multiple inversions with different levels of coupling provided a series of density models. We applied the principal component analysis (PCA) technique to assess these models. We were able to define two dominant processes acting differently on the density and resistivity distribution at depth, namely the geothermal activity of the rift and the structural control of active tectonics. Plain Language Summary: The inversion of geophysical data faces the problem of ambiguity or nonuniqueness. Constrained inversion can be an effective solution to reduce these ambiguities. Coupling several geophysical methods provides a priori information to help sample the space of acceptable models toward a reliable and realistic solution. In order to assess the resulting models, we use multivariate statistics. We present two types of coupling, cross‐gradient and linear correlation between density and electrical resistivity. The approach was tested and validated on synthetic data and on data acquired in the Asal rift, Republic of Djibouti. The results suggest that both the geothermal activity of the rift and the structural control of active tectonics control the distribution of density and electrical resistivity. Key Points: We developed a new constrained inversion using the cross‐gradient and linear correlation couplings between density and resistivityThe models resulting from these two inversions are synthesized using the principal component analysis methodResistivity and density models highlight that the Asal rift is dominated by more than one process (geothermal and tectonic) [ABSTRACT FROM AUTHOR]
- Published
- 2024
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