Adaptive coupling strategy for simultaneous joint inversions that use petrophysical information as constraints

Heincke, Björn, Jegen, Marion, Moorkamp, Max, Chen, Jin and Hobbs, Richard W. (2010) Adaptive coupling strategy for simultaneous joint inversions that use petrophysical information as constraints SEG Technical Program Expanded Abstracts, 29 . pp. 2805-2809. DOI 10.1190/1.3513426. Date online first: 2010

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Abstract

Joint inversion strategies for geophysical data have become increasingly popular since they allow to combine complementary information from different data sets in an efficient way. Here, we present a non-linear joint inversion scheme, in which data from different methods are inverted separately and are joined through constrains accounting for parameter relationships. To avoid that the convergence behavior of the inversions is not profoundly disturbed by this coupling, the strengths of the constraints are re-adjusted at each iteration. In contrast to a joint inversion with a fixed parameter relationship, where data is inverted to one common model, this scheme requires no relative weighting of the data sets from different methods. Moreover, we observe that the adaption of the coupling strengths makes the convergence of the inversions much more robust. When we test our scheme with and without adaption on a synthetic 2-D model with seismic tomography, gravity and MT data, the final results with adaption were significantly closer to the true model. Finally, we observe that the adaptive scheme can to some extent handle models with structures for which the assumed parameter relationships are invalid.

Document Type: Article
Additional Information: SEG Annual Meeting 2010, Denver, Colo., USA, 17.10.-22.10.2010
Keywords: Geophysics; Joint inversion, seismic tomography, mt, gravity
Research affiliation: OceanRep > SFB 574
OceanRep > GEOMAR > Applied R&D > Energy and CO₂ Sequestration Projects
OceanRep > GEOMAR > FB4 Dynamics of the Ocean Floor > FB4-GDY Marine Geodynamics
Refereed: No
DOI etc.: 10.1190/1.3513426
ISSN: 1052-3812
Date Deposited: 04 Oct 2010 08:10
Last Modified: 08 Nov 2016 07:34
URI: http://eprints.uni-kiel.de/id/eprint/8777

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