scholarly journals Regional conductivity structure of Cascadia: Preliminary results from 3D inversion of USArray transportable array magnetotelluric data

2008 ◽  
Vol 35 (20) ◽  
Author(s):  
Prasanta K. Patro ◽  
Gary D. Egbert
Geophysics ◽  
2008 ◽  
Vol 73 (1) ◽  
pp. K1-K9 ◽  
Author(s):  
Colin G. Farquharson

A modification of the typical minimum-structure inver-sion algorithm is presented that generates blocky, piecewise-constant earth models. Such models are often more consistent with our real or perceived knowledge of the subsurface than the fuzzy, smeared-out models produced by current minimum-structure inversions. The modified algorithm uses [Formula: see text]-type measures in the measure of model structure instead of the traditional sum-of-squares, or [Formula: see text], measure. An iteratively reweighted least-squares procedure is used to deal with the nonlinearity introduced by the non-[Formula: see text] measure. Also, and of note here, diagonal finite differences are included in the measure of model structure. This enables dipping interfaces to be formed. The modified algorithm retains the benefits of the minimum-structure style of inversion — namely, reliability, robustness, and minimal artifacts in the constructed model. Two examples are given: the 2D inversion of synthetic magnetotelluric data and the 3D inversion of gravity data from the Ovoid deposit, Voisey’s Bay, Labrador.


Geophysics ◽  
2011 ◽  
Vol 76 (1) ◽  
pp. F77-F87 ◽  
Author(s):  
Michael S. Zhdanov ◽  
Le Wan ◽  
Alexander Gribenko ◽  
Martin Čuma ◽  
Kerry Key ◽  
...  

Three-dimensional magnetotelluric (MT) inversion is an emerging technique for offshore hydrocarbon exploration. We have developed a new approach to the 3D inversion of MT data, based on the integral equation method. The Tikhonov regularization and physical constraint have been used to obtain a stable and reasonable solution of the inverse problem. The method is implemented in a fully parallel computer code. We have applied the developed method and software for the inversion of marine MT data collected by the Scripps Institution of Oceanography (SIO) in the Gemini prospect, Gulf of Mexico. The inversion domain was discretized into 1.6 million cells. It took nine hours to complete 51 iterations on the 832-processor cluster with a final misfit between the observed and predicted data of 6.2%. The inversion results reveal a resistive salt structure, which is confirmed by a comparison with the seismic data. These inversion results demonstrate that resistive geoelectrical structures like salt domes can be mapped with reasonable accuracy using the 3D inversion of marine MT data.


2019 ◽  
Vol 93 (2) ◽  
pp. 213-217 ◽  
Author(s):  
Roshan Kumar Singh ◽  
Ashok K. Gupta ◽  
Ved P. Maurya ◽  
S. Singh ◽  
Shalivahan

2009 ◽  
Author(s):  
Michael S. Zhdanov ◽  
Le Wan ◽  
Alex Gribenko ◽  
Martin Cuma ◽  
Kerry Key ◽  
...  

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