Stacking seismic data using local correlation

Liu, Guochang; Fomel, Sergey; Jin, Long; Chen, Xiaohong

doi:10.1190/1.3085643

Cited by 149 publications

(63 citation statements)

References 21 publications

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“…Many such image conditioning and enhancement algorithms and methods have been shown to be highly effective at suppressing random noise by coherency or crosscorrelation-weighted stack (Liu et al 2009;Zamboni et al 2012), and improving signal stacking power by selective stacking (Xu et al 2011) or by residual moveout correction of gathers (Manning et al 2006). Combinations of different methods have also yielded impressive enhancement results (Manning et al 2008).…”

Section: Methodsmentioning

confidence: 99%

Improving Subsalt Imaging by Image Conditioning and Enhancement with RTM Vector Image Partitions - A GoM Case Study

Zhao¹,

Zdraveva²,

González³

et al. 2014

Proceedings

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SUMMARYSubsalt imaging remains challenging despite a growing need for more accurate subsalt characterization. Long offsets, wide-azimuth (WAZ), and full-azimuth (FAZ) acquisition technologies have provided stepchange improvements in illumination, multiple attenuation and signal-to-noise ratio. Recently developed more advanced anisotropic velocity model building techniques, have also greatly enhanced our ability to build accurate salt models and reduce velocity error. Reverse-time Migration (RTM) has become the preferred imaging algorithm due to its superior tolerance for complex salt geometry compared with traditional ray-based Kirchhoff migration. However, even with these developments, subsalt imaging still remains a significant challenge. Recently, Vector Image Partitions (VIPs) from RTM have proven valuable for enhancing the image of challenging subsalt structures. In this paper, we present a new method for optimizing the final migrated image through enhancement of the consistent signal and suppression of noise among VIPs. We demonstrate the effectiveness of this method with a case study from the Gulf of Mexico. The result shows great improvements in the subsalt image quality in terms of signal to noise ratio, reflector continuity, and wavelet consistency along reflectors.

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Section: Methodsmentioning

confidence: 99%

Improving Subsalt Imaging by Image Conditioning and Enhancement with RTM Vector Image Partitions - A GoM Case Study

Zhao¹,

Zdraveva²,

González³

et al. 2014

Proceedings

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“…The similarity-mean filter is a nonlinear filter (Liu et al, 2009) that uses local correlation coefficients as desired weight coefficients. Fomel (2007) defined local similarity in the following way.…”

Section: Gaussian Similarity-mean Filtermentioning

confidence: 99%

“…Rashed (2008) proposed "smart stacking," which is based on optimizing seismic amplitudes of the stacked signal by excluding harmful samples from the stack and applying more weight to the center of the sample population. Liu et al (2009) introduced time-dependent smooth weights to design a similaritymean stack, which is a nonstationary, nonlinear operator.…”

Section: Introductionmentioning

confidence: 99%

Structure‐enhancing nonlinear filtering of seismic images

Liu

Fomel

Liu

2009

SEG Technical Program Expanded Abstracts 2009

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Attenuation of random noise and enhancement of structural continuity can significantly improve the quality of seismic interpretation. We present a novel filtering method, which aims at reducing random noise while protecting seismic structures. The method is based on combining predictive flattening with similarity-mean filtering. We use predictive flattening to form a structural prediction of seismic traces from neighboring traces. We apply a nonlinear similarity-mean filter to select the best samples from different predictions. Parameters of the nonlinear filter allow us to control the balance between eliminating random noise and protecting structural information. Numerical tests using synthetic and field data confirm the effectiveness of proposed structure-enhancing filtering.

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“…regional faults, subsalt, dipping interfaces and concave interfaces; Liu et al . ). In most cases, near‐surface geophysical investigations are conducted for depths of 10–300 m. However, occasional investigations related to hydraulic fracturing, deep mining, and hardened structures in addition to the siting of critical structures are performed at depths greater than 300 m (Butler ).…”

Section: Introductionmentioning

confidence: 97%

The application of variable‐frequency directional seismic wave technology under complex geological conditions

Yue

Tao

Zhou

2018

Near Surface Geophysics

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Monofrequency directional seismic wave technology can be used to manipulate the phases of seismic waves, thereby focusing seismic signals into beams and strengthening the energy in the main beam direction. However, it is unknown whether a variable‐frequency signal can form a directional seismic wave, and the applicable conditions for utilizing this technology have not yet been reported. In this paper, we analysed the variable‐frequency directional seismic wave theory and methodology through ray tracing and the seismic wave equation. Based on the variable‐frequency directional seismic wave principle, the effects of directional parameters on the main beam direction and half‐power beamwidth were discussed in detail. In addition, the effectiveness of the variable‐frequency directional seismic wave method in several complicated velocity models was discussed. Numerical tests with the variable‐frequency directional seismic wave technique indicated that the energy intensity in the main beam direction increased by two to six times and the signal‐to‐noise ratio of the targets signal increased by 0.60–0.84 dB. Additionally, we used variable‐frequency directional seismic wave technology to analyse a shallow geological structure with a 9‐vibrator array in an area of Jilin Province. The field experiment results revealed that the near‐surface exploration depth increased from 60 to 240 m. Therefore, under complex geological conditions, the variable‐frequency directional seismic wave technology can improve the target signal at little cost.

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Stacking seismic data using local correlation

Cited by 149 publications

References 21 publications

Improving Subsalt Imaging by Image Conditioning and Enhancement with RTM Vector Image Partitions - A GoM Case Study

Improving Subsalt Imaging by Image Conditioning and Enhancement with RTM Vector Image Partitions - A GoM Case Study

Structure‐enhancing nonlinear filtering of seismic images

The application of variable‐frequency directional seismic wave technology under complex geological conditions

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