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1D Fullwaveform Optimization Using Gpr Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 9th Congress of the Balkan Geophysical Society, Nov 2017, Volume 2017, p.1 - 5
Abstract
In this study, we consider a one-dimensional (1D) earth model with variable three electromagnetic properties. There have been a number of 1D GPR forward modeling available in the literature (e.g. Annan and Chua, 1992 ; Bano, 1996 ; 2004 ; Lazaro-Mancilla and and Gomez-Trevino 1996 ; Hunziker et al., 2015 ). For instance, Lazaro-Mancilla (1996) studied a 1D GPR forward modeling based on a plane waves an n-layer earth model. Hunziker et al. (2015) developed a general EM forward modeling code including 1D GPR based on Green’s function method. In this study, we present 1D finite difference (FD) method to get a model response of n-layer earth.
Here, we also consider inversion of 1D GPR data. As an inversion type, we use simulated annealing (SA) as a global inversion method. 1D GPR inverse problem was studied by Lazaro-Mancilla and Gomez-Trevino (2000) to estimate dielectric constant, conductivity and magnetic permeability from a GPR trace. Huang and Zhang (2014) applied a spectral inversion method on 1D GPR data using a modified stochastic hill-climbing method to invert model parameters. Here, the layered responses of an earth model with three variable properties were inverted including the thickness of layers using SA optimization method to get a fullwaveform response.