scholarly journals Low wave speed zones in the crust beneath SE Tibet revealed by ambient noise adjoint tomography

2014 ◽  
Vol 41 (2) ◽  
pp. 334-340 ◽  
Author(s):  
Min Chen ◽  
Hui Huang ◽  
Huajian Yao ◽  
Rob van der Hilst ◽  
Fenglin Niu
Keyword(s):  
Ambient Noise ◽  
Wave Speed ◽  
Adjoint Tomography ◽  
Se Tibet

Ambient noise waveform imaging of Yellowstone's magmatic system

2021 ◽  
Author(s):  
Ross Maguire ◽  
Min Chen ◽  
Brandon Schmandt ◽  
Chengxin Jiang ◽  
Justin Wilgus ◽  
...  
Keyword(s):  
Ambient Noise ◽  
Wave Speed ◽  
Asymptotic Methods ◽  
Magmatic System ◽  
Tomographic Images ◽  
Shear Wave Speed ◽  
Seismic Waveforms ◽  
Adjoint Tomography ◽  
Imaging Results ◽  
Starting Point

<p>Understanding important characteristics of Yellowstone's magmatic system such as the melt fraction, composition, and geometric organization of melt are critical for improving our knowledge of volcanic processes and assessing the potential for future eruptions.  While previous tomographic images have provided much insight into the magmatic system, imaging results are complicated by an incomplete understanding of how large crustal magmatic systems affect seismic waveforms. In particular, tomographic studies based on asymptotic methods may underestimate the seismic wave speed anomaly of the magma reservoir because first arriving energy may be diffracted around strong low wave speed anomalies. Here, we present a high-resolution shear wave speed model of Yellowstone’s crust and uppermost mantle structure, based on the most up to date dataset of ambient noise correlation functions from broadband stations deployed in the Yellowstone region over the past two decades. This model serves as the starting point for an adjoint inversion, which has potential to improve resolution by incorporating more accurate sensitivity kernels based on realistic wave propagation physics. We discuss our adjoint tomography methodology and present the first model iterations. Continued iterations promise to sharpen features in the model which can provide new inferences into the present state of Yellowstone’s magmatic system.</p>

scholarly journals Radial anisotropy in the crust of SE Tibet and SW China from ambient noise interferometry

2010 ◽  
Vol 37 (21) ◽  
pp. n/a-n/a ◽  
Author(s):  
Hui Huang ◽  
Huajian Yao ◽  
Robert D. van der Hilst
Keyword(s):  
Ambient Noise ◽  
Sw China ◽  
Noise Interferometry ◽  
Radial Anisotropy ◽  
Se Tibet

Transdimensional Bayesian seismic ambient noise tomography across SE Tibet

2017 ◽  
Vol 134 ◽  
pp. 86-93 ◽  
Author(s):  
DingChang Zheng ◽  
Erdinc Saygin ◽  
Phil Cummins ◽  
Zengxi Ge ◽  
Zhaoxu Min ◽  
...  
Keyword(s):  
Ambient Noise ◽  
Ambient Noise Tomography ◽  
Seismic Ambient Noise ◽  
Se Tibet

scholarly journals Improving temporal resolution in ambient noise monitoring of seismic wave speed

2011 ◽  
Vol 116 (B7) ◽  
Author(s):  
C. Hadziioannou ◽  
E. Larose ◽  
A. Baig ◽  
P. Roux ◽  
M. Campillo
Keyword(s):  
Temporal Resolution ◽  
Seismic Wave ◽  
Ambient Noise ◽  
Wave Speed

Elastic imaging and time-lapse migration based on adjoint methods

Geophysics ◽  
2009 ◽  
Vol 74 (6) ◽  
pp. WCA167-WCA177 ◽  
Author(s):  
Hejun Zhu ◽  
Yang Luo ◽  
Tarje Nissen-Meyer ◽  
Christina Morency ◽  
Jeroen Tromp
Keyword(s):  
Wave Speed ◽  
Time Lapse ◽  
Compressional Wave ◽  
Finite Frequency ◽  
Adjoint Methods ◽  
Transmission Tomography ◽  
Efficient Simulation ◽  
Sensitivity Kernel ◽  
Adjoint Tomography ◽  
Exploration Seismology

We have drawn connections between imaging in exploration seismology, adjoint methods, and emerging finite-frequency tomography. All of these techniques rely on spatial and temporal constructive interference between observed and simulated waveforms to map locations of structural anomalies. Modern numerical methods and computers have facilitated the accurate and efficient simulation of 3D acoustic, (an)elastic, and poroelastic wave propagation. Using a 2D cross section of the SEG/EAGE salt model, we have determined how such waveform simulations might be harnessed to improve onshore and offshore seismic imaging strategies and capabilities. We have found that the density sensitivity kernel in adjoint tomography is related closely to the imaging principle in exploration seismology, and that in elastic modeling the impedance kernel actually is a better diagnostic tool for reflector identification. The shear- and compressional-wave speed sensitivity kernels in adjoint tomography are related closely to finite-frequency banana-doughnut kernels, and these kernels are well suited for mapping larger-scale structure, i.e., for transmission tomography. These ideas have been substantiated by addressing problems in subsalt time-lapse migration.

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