Nonperturbative modal tomography inversion. Part I. Theory

1993 ◽  
Vol 94 (4) ◽  
pp. 2296-2302 ◽  
Author(s):  
R. Michael Jones ◽  
E. C. Shang ◽  
T. M. Georges
Keyword(s):  
Tomography Inversion

Geological Guided Tomography Inversion Based on Fault Constraint and Its Application

2021 ◽  
Vol 20 (6) ◽  
pp. 1419-1430
Author(s):  
Sanfu Li ◽  
Xiaobo Zhang ◽  
Zhiwei Dan ◽  
Bo Sun ◽  
Peng Song ◽  
...  
Keyword(s):  
Tomography Inversion

scholarly journals Subduction modelling by Tomography inversion around Lombok

2020 ◽  
Vol 1568 ◽  
pp. 012031
Author(s):  
I R Palupi ◽  
W Raharjo ◽  
O D Alfiani
Keyword(s):  
Tomography Inversion

Nonperturbative ocean acoustic tomography inversion of 1000‐km pulse propagation in the Pacific Ocean

1994 ◽  
Vol 96 (5) ◽  
pp. 3054-3063 ◽  
Author(s):  
R. Michael Jones ◽  
Bruce M. Howe ◽  
James A. Mercer ◽  
Robert C. Spindel ◽  
T. M. Georges
Keyword(s):  
Pacific Ocean ◽  
Pulse Propagation ◽  
Acoustic Tomography ◽  
The Pacific ◽  
The Pacific Ocean ◽  
Ocean Acoustic Tomography ◽  
Tomography Inversion

scholarly journals An Extension of the Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method (E-PERTI)

Geosciences ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 380
Author(s):  
Marilena Cozzolino ◽  
Paolo Mauriello ◽  
Domenico Patella
Keyword(s):  
Electrical Resistivity ◽  
Apparent Resistivity ◽  
Electrical Resistivity Tomography ◽  
Inversion Method ◽  
Resistivity Tomography ◽  
Synthetic Test ◽  
Statistical Determination ◽  
Data Adaptive ◽  
Tomography Inversion

About a decade ago, the PERTI algorithm was launched as a tool for a data-adaptive probability-based analysis of electrical resistivity tomography datasets. It proved to be an easy and versatile inversion method providing estimates of the resistivity values within a surveyed volume as weighted averages of the whole apparent resistivity dataset. In this paper, with the aim of improving the interpretative process, the PERTI method is extended by exploiting some peculiar aspects of the general theory of probability. Bernoulli’s conceptual scheme is assumed to comply with any resistivity dataset, which allows a multiplicity of mutually independent subsets to be extracted and analysed singularly. A standard least squares procedure is at last adopted for the statistical determination of the model resistivity at each point of the surveyed volume as the slope of a linear equation that relates the multiplicity of the resistivity estimates from the extracted data subsets. A 2D synthetic test and a field apparent resistivity dataset collected for archaeological purposes are discussed using the new extended PERTI (E-PERTI) approach. The comparison with the results from the original PERTI shows that by the E-PERTI approach a significantly greater robustness against noise can be achieved, besides a general optimisation of the estimates of the most probable resistivity values.

Seismic tomography inversion of velocity field parameterized by Haar wavelet series

2017 ◽  
Author(s):  
Alexsandro G. Cerqueira ◽  
Wilson M. Figueiró ◽  
Paulo E.M. Cunha
Keyword(s):  
Velocity Field ◽  
Seismic Tomography ◽  
Haar Wavelet ◽  
Tomography Inversion ◽  
Wavelet Series

3C VSP tomography inversion for subsurface P‐ and S‐wave velocity distribution

2005 ◽  
Author(s):  
Yingping Li ◽  
Xiaomin Zhao ◽  
Ran Zhou ◽  
David Dushman ◽  
Peter Janak
Keyword(s):  
Velocity Distribution ◽  
Wave Velocity ◽  
S Wave ◽  
Tomography Inversion
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