2006
DOI: 10.1029/2005jb004009
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Three‐dimensional joint inversion for magnetotelluric resistivity and static shift distributions in complex media

Abstract: [1] Accurate interpretation of magnetotelluric (MT) data in the presence of static shift arising from near-surface inhomogeneities is an unresolved problem in threedimensional (3-D) inversion. While it is well known in 1-D and 2-D studies that static shift can lead to erroneous interpretation, how static shift can influence the result of 3-D inversion is not fully understood and is relevant to improved subsurface analysis. Using the synthetic data generated from 3-D models with randomly distributed heterogeneo… Show more

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Cited by 53 publications
(38 citation statements)
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References 23 publications
(39 reference statements)
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“…Following this idea, several publications recommend inverting all four components of the MT impedance tensor (Z), for example Siripunvaraporn et al (2005b), Tietze & Ritter (2013) and Kiyan et al (2014), instead of the approach of inverting only the off-diagonal components (Z o ) (e.g. Sasaki 2004;Sasaki & Meju 2006). However, the presence of anthropogenic noise can strongly reduce the quality of the Z data, in particular the quality of the diagonal components, making it sometimes worthless to use all components of the Z tensor for the inversion process because of scatter and/or extremely large errors in the diagonal components of Z.…”
mentioning
confidence: 99%
“…Following this idea, several publications recommend inverting all four components of the MT impedance tensor (Z), for example Siripunvaraporn et al (2005b), Tietze & Ritter (2013) and Kiyan et al (2014), instead of the approach of inverting only the off-diagonal components (Z o ) (e.g. Sasaki 2004;Sasaki & Meju 2006). However, the presence of anthropogenic noise can strongly reduce the quality of the Z data, in particular the quality of the diagonal components, making it sometimes worthless to use all components of the Z tensor for the inversion process because of scatter and/or extremely large errors in the diagonal components of Z.…”
mentioning
confidence: 99%
“…However, the phase tensor is only a partial solution; thus, the inverted model strongly depends on the initial model (Patro et al 2013;Tietze et al 2015). In addition to decomposition approaches, inversion schemes that simultaneously solve the static shift (e.g., Sasaki and Meju 2006) have become feasible, but the geometric distortion is not controlled. Avdeeva et al (2015) proposed 3D inversion with the solution of the full distortion matrix, but this approach does not allow this static shift to be a free parameter.…”
Section: )mentioning
confidence: 99%
“…In addition, the employment of these two types of properties allows the effect of the site gain to be separated from the effects of the twist, shear, and splitting parameters. Most importantly, we can use these parameters to determine the necessary treatment of galvanic distortion for a given dataset, such as whether or not a removal scheme should be applied in the inversion (e.g., Sasaki and Meju 2006;Avdeeva et al 2015).…”
Section: )mentioning
confidence: 99%
“…5) show a possible static shift and/or topographic effects at sites 4, 5, 16, 17, 18, and 27. The model could be compensated by these static shift data at shallow depth to incorporate nearsurface structure (Sasaki 2004), which indicates that the inverted model is still fine at deep depth in the inversion (e.g., Sasaki and Meju 2006). The 3D inversion code can only invert impedances and it is thus impossible to assign different error floors to apparent resistivity and phase as in typical 2D inversions.…”
Section: D Inversionmentioning
confidence: 99%