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eXperimental jOint inveRsioN (XORN) project: first results of a 3D joint gravity and magnetic inversion

2022
<div> <p><span>The Earth crust represents less than 1% of the volume of our planet but is exceptionally important as it preserves the signs of the geological events that shaped our planet. This thin layer is the place where the natural resources we need can be accessed (e.g.  critical raw materials,
Martina Capponi, Daniele Sampietro
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Joint Inversion on Irregular Meshes

24th European Meeting of Environmental and Engineering Geophysics, 2018
The design of structural coupling operators for joint inversion on irregular meshes is a non-trivial task. We propose to use a neighbourhood approach to calculate the model-gradients that are needed for the cross-gradients coupling constraints. Our joint inversion algorithm is applied to 3D synthetic crosshole GPR traveltime and apparent resistivity ...
C. Jordi   +3 more
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Model Fusion and Joint Inversion

Surveys in Geophysics, 2013
Inverse problems are inherently non-unique, and regularization is needed to obtain stable and reasonable solutions. The regularization adds information to the problem and determines which solution, out of the infinitely many, is obtained. In this paper, we review and discuss the case when a priori information exists in the form of either known ...
Eldad Haber, Michal Holtzman Gazit
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3D Joint hydrogeophysical inversion using similarity measures

Applied Mathematics and Computation, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Steklova, Klara, Haber, Eldad
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Joint Inversion of Multiple Observations

2018
Joint inversion becomes increasingly important with the availability of various types of measurements related to the same quantity. Questions arising in this context are how to combine the different data sets in the first place and, secondly, how to choose the multiple parameters that naturally occur in such a combination.
Christian Gerhards   +2 more
openaire   +1 more source

Joint Inversion: One Mans Perspective

81st EAGE Conference and Exhibition 2019 Workshop Programme, 2019
Summary Tremendous advances have been made in the last two decades in joint inversion of multiple data sets. Coupling of all forms of geophysical data and flow data have been demonstrated. Advances in methods to link the data sets and associated parameters, both by structural and rock-physics coupling approaches have been key to the impressive results ...
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Joint Lithologic Inversion

2002
Ambiguous dependence of observed data related to lithologic parameters suggests that both deterministic mechanism and statistical behaviour characterize practical lithologic inversion problems. The Caianiello neural network method is presented in this paper, including neural wavelet estimation, input signal reconstruction, and nonlinear factor ...
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Bayesian Joint Inversion of Geophysical Data

63rd EAGE Conference & Exhibition, 2001
P220 BAYESIAN JOINT INVERSION OF GEOPHYSICAL DATA Summary 1 A new method for the joint inversion of geophysical data based on the Bayesian framework has been developed. Contrary to the traditional joint inversion that simply incorporates two different kinds of observed data into one sensitivity matrix a probabilistic approach has been devised to infer ...
O.S. Hoon, B.D. Kwon, J.C. Nam, D. Lee
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A Joint Waveform Inversion Strategy - Combing Full Waveform Inversion with Prismatic Waveform Inversion

Proceedings, 2015
Prismatic wave contains a lot of subsurface information that primary can not reach. In this paper, prismatic wave is used alone for imaging in order to improve the inversion speed of high and steep structure. Under the guidance of this idea, a prismatic waveform inversion (PWI) method is proposed.
Y.M. Qu   +4 more
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Prismatic and full-waveform joint inversion

Applied Geophysics, 2016
Prismatic wave is that it has three reflection paths and two reflection points, one of which is located at the reflection interface and the other is located at the steep dip angle reflection layer, so that contains a lot of the high and steep reflection interface information that primary cannot reach.
Ying-Ming Qu   +3 more
openaire   +1 more source

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