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Title: Seismic Waveform Transformer.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the Sandia Intern Symposium held July 26, 2016 in Albuquerque, NM.
Country of Publication:
United States

Citation Formats

Fischer, Thomas David, and Sia, Julian. Seismic Waveform Transformer.. United States: N. p., 2016. Web.
Fischer, Thomas David, & Sia, Julian. Seismic Waveform Transformer.. United States.
Fischer, Thomas David, and Sia, Julian. 2016. "Seismic Waveform Transformer.". United States. doi:.
title = {Seismic Waveform Transformer.},
author = {Fischer, Thomas David and Sia, Julian},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7

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  • Accurate imaging and characterization of fracture zones is crucial for geothermal energy exploration. Aligned fractures within fracture zones behave as anisotropic media for seismic-wave propagation. The anisotropic properties in fracture zones introduce extra difficulties for seismic imaging and waveform inversion. We have recently developed a new anisotropic elastic-waveform inversion method using a modified total-variation regularization scheme and a wave-energy-base preconditioning technique. Our new inversion method uses the parameterization of elasticity constants to describe anisotropic media, and hence it can properly handle arbitrary anisotropy. We apply our new inversion method to a seismic velocity model along a 2D-line seismic data acquiredmore » at Eleven-Mile Canyon located at the Southern Dixie Valley in Nevada for geothermal energy exploration. Our inversion results show that anisotropic elastic-waveform inversion has potential to reconstruct subsurface anisotropic elastic parameters for imaging and characterization of fracture zones.« less
  • The velocity structures and source parameters estimated by waveform modeling provide valuable information for CTBT monitoring. The inferred crustal and uppermost mantle structures advance understanding of tectonics and guides regionalization for event location and identification efforts. Estimation of source parameters such as seismic moment, depth and mechanism (whether earthquake, explosion or collapse) is crucial to event identification. In this paper we briefly outline some of the waveform modeling research for CTBT monitoring performed in the last year. In the future we will estimate structure for new regions by modeling waveforms of large well-observed events along additional paths. Of particular interestmore » will be the estimation of velocity structure in aseismic regions such as most of Africa and the Former Soviet Union. Our previous work on aseismic regions in the Middle East, north Africa and south Asia give us confidence to proceed with our current methods. Using the inferred velocity models we plan to estimate source parameters for smaller events. It is especially important to obtain seismic moments of earthquakes for use in applying the Magnitude-Distance Amplitude Correction (MDAC; Taylor et al., 1999) to regional body-wave amplitudes for discrimination and calibrating the coda-based magnitude scales.« less
  • An acoustic Wave Equation Travel Time and Wave Form (acoustic WTW) Inversion method was presented by Zhou et al. (1993) to invert the P-wave velocity distribution from crosshole seismic data. The acoustic WTW tomograms showed about 6 times greater spatial resolution than the corresponding travel time tomograms. In this paper the authors present the elastic wave equation travel time and waveform (elastic WTW) inversion method which inverts for both the P-wave and S-wave velocity distributions from crosshole seismic data. Comparison of the elastic WTW tomograms with the acoustic WTW tomogram shows that both methods can invert for a high resolutionmore » P-wave velocity structure when the S-wave energy is very weak in the recorded seismograms. Elastic WTW inversion is superior to acoustic WTW inversion when there are significant S-waves in the recorded seismograms. The disadvantage of elastic WTW inversion is that it can be more than 5 times computationally expensive than the acoustic waveform inversion.« less
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