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Because of its mathematical formulation, the model inversion can be done analytically – which is rare – and parameter values can be estimated from experimental data.
The other 4 parameters seemingly insensitive to model inversion can be called as flat-shaped (Fig. 3d, P5 and P6 curves).
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With a good initial model, model-based inversion can be able to remove wavelet as well as turning effects.
However, our main point in this work has been to investigate how well a core field model inversion process can be regularized by constraints applied on the co-estimated flow model.
Standard MT modelling tools such as inversion can also be adapted, for example Rees et al.
The present V p model estimated from 3-D inversion can be compared with the surface geology (Kitamura, 1965; Ozawa et al., 1988; Takeuchi et al., 2005) and seismic reflection/refraction profile (Abe et al., 2008; Saito et al., 2008).
The introduction of the model parameter's priori information into mixed-domain inversion can help to improve the stability and anti-noise ability of the proposed approach.
The CMT data inversion can yield the best estimates and the variance covariance matrix of the model parameters for the stress field (Terakawa and Matsu'ura 2008).
The use of parameters fixed at 'best' estimated values can constrain the range of model outputs and therefore greatly influences the inferences made from model inversion.
The object function of inversion can be established to improve the stability, which relies on the Bayesian system and the linear increment model.
The inversion can cause pollutants to build up near the ground.
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