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Title: Two and three dimensional magnetotelluric inversion

Technical Report ·
OSTI ID:6596744

This paper is an annual progress report. In prior reporting periods, a numerically efficient algorithm to invert large magnetotelluric (MT) data sets for conductive structures has been developed. The method is iterative and approximates lateral derivatives of the electric and magnetic fields inside the model by their values from the previous iteration. The model is made unique by minimizing a function which measures the complexity of the model. The purpose is to find the model with the least structure for a given level of misfit to the data. The method is called the Rapid Relaxation Inverse (RRI). During the past year, effort has been split between improving the two-dimensional (2D) version of our code and developing a three-dimensional (3D) version. The 2D work has involved a thorough study of synthetic data generated from known models with random noise added. This study resulted in the implementation of three stabilization schemes. One which operates in model space and damps efforts by the algorithm to make the model rough. The second operates in data space and down-weights data with large residuals at each iteration. This means that data that is easy to fit will be fit first. 4 refs., 13 figs.

Research Organization:
Washington Univ., Seattle, WA (USA)
Sponsoring Organization:
DOE/ER
DOE Contract Number:
FG06-89ER14064
OSTI ID:
6596744
Report Number(s):
DOE/ER/14064-1; ON: DE90016187
Country of Publication:
United States
Language:
English