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3D inversion of gravity and gravity gradiometry data using multinary transformation of the model parameters

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doi: 10.1190/segam2016-13821786.1
Authors:Lin, Wei; Zhdanov, Michael
Author Affiliations:Primary:
University of Utah, Salt Lake City, UT, United States
Volume Title:Society of Exploration Geophysicists international exposition and eighty-sixth annual meeting; technical program expanded abstracts
Volume Authors:Sicking, Charles, chairperson; Ferguson, John
Source:SEG Technical Program Expanded Abstracts, Vol.35, p.1516-1520; Society of Exploration Geophysicists international exposition and eighty-sixth annual meeting, Dallas, TX, Oct. 16-21, 2016, chaired by Charles Sicking and John Ferguson. Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States. ISSN: 1949-4645
Publication Date:2016
Note:In English. 12 refs.; illus.
Summary:In this paper we demonstrate that the multinary model transformation applied to the 3D gravity and gravity gradiometry inversion helps to recover the sharp contrasts of the density between the host media and anomalous targets. This concept is a generalization of the binary approach to the multinary density inversion, which uses given values of density and error functions to transform the density distribution into the desired step-function distribution. We solve the multinary inverse problem using the regularized conjugate gradient method. The novel gravity multinary inversion algorithm is demonstrated to be effective in determining the shape, location, and the densities of the anomalous targets. We also show that this method can be effectively applied to the inversion of the full tensor gravity gradiometry data computer-simulated for the SEG salt density model.
Subjects:Data processing; Geophysical methods; Gravity field; Gravity methods; Inverse problem; Mathematical transformations; Salt domes; Salt tectonics; Simulation; Tectonics; Three-dimensional models; Gradiometry data; Multinary models; SEG salt density model; SEG salt dome model; Two-body models
Record ID:809338-82
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
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