Velocity analysis using high-resolution semblance based on sparse hyperbolic Radon transform

2016 ◽  
Vol 134 ◽  
pp. 146-152 ◽  
Author(s):  
Xiangbo Gong ◽  
Shengchao Wang ◽  
Tianze Zhang
Geophysics ◽  
2018 ◽  
Vol 83 (4) ◽  
pp. A53-A57 ◽  
Author(s):  
Yangkang Chen

Velocity analysis is crucial in reflection seismic data processing and imaging. Velocity picking is widely used in the industry for building the initial velocity model. When the size of the seismic data becomes extremely large, we cannot afford the corresponding human endeavor that is required by the velocity picking. In such situations, an automatic velocity-picking algorithm is highly demanded. We have developed a novel automatic velocity-analysis algorithm that is based on the high-resolution hyperbolic Radon transform. We formulate the automatic velocity-analysis problem as a constrained optimization problem. To solve the optimization problem with a hard constraint on the sparsity and distribution of the velocity spectrum, we relax it to a more familiar L1-regularized optimization problem in two steps. We use the iterative preconditioned least-squares method to solve the L1-regularized problem, and then we apply the hard constraint of the target optimization during the iterative inversion. Using synthetic and field-data examples, we determine the successful performance of our algorithm.


Author(s):  
Dechao Cai ◽  
Guifang Fa ◽  
Jia Li ◽  
Xing Xing ◽  
Yanjing Yi

1994 ◽  
Vol 16 (3) ◽  
pp. 185-199 ◽  
Author(s):  
Masanao Shinohara ◽  
Naoshi Hirata ◽  
Narumi Takahashi

1978 ◽  
Vol 16 (1-2) ◽  
pp. 97-109 ◽  
Author(s):  
Douglas W. McCowan

2019 ◽  
Vol 16 (4) ◽  
pp. 473-482
Author(s):  
Wen-Zhi Sun ◽  
Zhen-Chun Li ◽  
Ying-Ming Qu ◽  
Zhi-Na Li

2017 ◽  
Vol 5 (3) ◽  
pp. T287-T298 ◽  
Author(s):  
Julian Ivanov ◽  
Richard D. Miller ◽  
Daniel Feigenbaum ◽  
Sarah L. C. Morton ◽  
Shelby L. Peterie ◽  
...  

Shear-wave velocities were estimated at a levee site by inverting Love waves using the multichannel analysis of surface waves (MASW) method augmented with the high-resolution linear Radon transform (HRLRT). The selected site was one of five levee sites in southern Texas chosen for the evaluation of several seismic data-analysis techniques readily available in 2004. The methods included P- and S-wave refraction tomography, Rayleigh- and Love-wave surface-wave analysis using MASW, and P- and S-wave cross-levee tomography. The results from the 2004 analysis revealed that although the P-wave methods provided reasonable and stable results, the S-wave methods produced surprisingly inconsistent shear-wave velocity [Formula: see text] estimates and trends compared with previous studies and borehole investigations. In addition, the Rayleigh-wave MASW method was nearly useless within the levee due to the sparsity of high frequencies in fundamental-mode surface waves and complexities associated with inverting higher modes. This prevented any reliable [Formula: see text] estimates for the levee core. Recent advances in methodology, such as the HRLRT for obtaining higher resolution dispersion-curve images with the MASW method and the use of Love-wave inversion routines specific to Love waves as part of the MASW method, provided the motivation to extend the 2004 original study by using horizontal-component seismic data for characterizing the geologic properties of levees. Contributions from the above-mentioned techniques were instrumental in obtaining [Formula: see text] estimates from within these levees that were very comparable with the measured borehole samples. A Love-wave approach can be a viable alternative to Rayleigh-wave MASW surveys at sites where complications associated with material or levee geometries inhibit reliable [Formula: see text] results from Rayleigh waves.


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