Self-constrained inversion of potential fields
We present a potential-field-constrained inversion procedure based on a priori information derived exclusively from the analysis of the gravity and magnetic data (self-constrained inversion). The procedure is designed to be applied to underdetermined problems and involves scenarios where the source...
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| Published in: | Geophysical journal international Vol. 195; no. 2; pp. 854 - 869 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Oxford University Press
01.11.2013
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| ISSN: | 0956-540X, 1365-246X |
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| Abstract | We present a potential-field-constrained inversion procedure based on a priori information derived exclusively from the analysis of the gravity and magnetic data (self-constrained inversion). The procedure is designed to be applied to underdetermined problems and involves scenarios where the source distribution can be assumed to be of simple character. To set up effective constraints, we first estimate through the analysis of the gravity or magnetic field some or all of the following source parameters: the source depth-to-the-top, the structural index, the horizontal position of the source body edges and their dip. The second step is incorporating the information related to these constraints in the objective function as depth and spatial weighting functions. We show, through 2-D and 3-D synthetic and real data examples, that potential field-based constraints, for example, structural index, source boundaries and others, are usually enough to obtain substantial improvement in the density and magnetization models. |
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| AbstractList | We present a potential-field-constrained inversion procedure based on a priori information derived exclusively from the analysis of the gravity and magnetic data (self-constrained inversion). The procedure is designed to be applied to underdetermined problems and involves scenarios where the source distribution can be assumed to be of simple character. To set up effective constraints, we first estimate through the analysis of the gravity or magnetic field some or all of the following source parameters: the source depth-to-the-top, the structural index, the horizontal position of the source body edges and their dip. The second step is incorporating the information related to these constraints in the objective function as depth and spatial weighting functions. We show, through 2-D and 3-D synthetic and real data examples, that potential field-based constraints, for example, structural index, source boundaries and others, are usually enough to obtain substantial improvement in the density and magnetization models. |
| Author | Florio, G. Fedi, M. Paoletti, V. Cella, F. Ialongo, S. |
| Author_xml | – sequence: 1 givenname: V. surname: Paoletti fullname: Paoletti, V. organization: 1 Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università 'Federico II' di Napoli, Italy. E-mail: paoletti@unina.it – sequence: 2 givenname: S. surname: Ialongo fullname: Ialongo, S. organization: 1 Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università 'Federico II' di Napoli, Italy. E-mail: paoletti@unina.it – sequence: 3 givenname: G. surname: Florio fullname: Florio, G. organization: 1 Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università 'Federico II' di Napoli, Italy. E-mail: paoletti@unina.it – sequence: 4 givenname: M. surname: Fedi fullname: Fedi, M. organization: 1 Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università 'Federico II' di Napoli, Italy. E-mail: paoletti@unina.it – sequence: 5 givenname: F. surname: Cella fullname: Cella, F. organization: 1 Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Università 'Federico II' di Napoli, Italy. E-mail: paoletti@unina.it |
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