Mapping of moveout attributes using local slopes

Stovas, Alexey; Fomel, Sergey

doi:10.1111/1365-2478.12284

Cited by 12 publications

(16 citation statements)

References 24 publications

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“…Now that the slopes are extracted, it is possible to extract the curvatures using the QST method (van de Weijer et al, 2001;Bakker, 2002). Note that the curvatures discussed here are related to the dataspace formulation of CRS.…”

Section: Obtaining Cmentioning

confidence: 99%

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Fast and robust common-reflection-surface parameter estimation

et al. 2018

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The common-reflection-surface (CRS) method offers a stack with higher signal-to-noise ratio at the cost of a timeconsuming semblance search to obtain the stacking parameters. We have developed a fast method for extracting the CRS parameters using local slope and curvature. We estimate the slope and curvature with the gradient structure tensor and quadratic structure tensor on stacked data. This is done under the assumption that a stacking velocity is already available. Our method was compared with an existing slopebased method, in which the slope is extracted from prestack data. An experiment on synthetic data shows that our method has increased robustness against noise compared with the existing method. When applied to two real data sets, our method achieves accuracy comparable with the pragmatic and full semblance searches. Our method has the advantage of being approximately two and four orders of magnitude faster than the semblance searches.

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Section: Obtaining Cmentioning

confidence: 99%

“…A hyperplane is fitted to the NMO-corrected data, and the CRS parameters are derived from the coefficients describing the fitted hyperplane. Local slopes have also been used to extract the velocity-related parameters for conventional CMP stacking with hyperbolic and nonhyperbolic moveout (Ottolini, 1983;Fomel, 2007;Stovas and Fomel, 2016).…”

Section: Introductionmentioning

confidence: 99%

Fast and robust common-reflection-surface parameter estimation

et al. 2018

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“…The first step in our approach is to compute anisotropic diffraction traveltime curves using a known NMO velocity field (v nmo ) and an effective anellipticity parameter (η) estimated from reflection seismic methods (e.g., Khoshnavaz et al 2016b;Stovas and Fomel 2016). There are several VTI nonhyperbolic moveout approximations developed for reflection seismology in the common midpoint (CMP) domain.…”

Section: E T H O D O L O G Ymentioning

confidence: 99%

Post‐stack diffraction imaging in vertical transverse isotropy media using non‐hyperbolic moveout approximations

Khoshnavaz

Bóna

Urošević

2017

Geophysical Prospecting

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Diffractions carry valuable information about local discontinuities and small‐scale objects in the subsurface. They are still not commonly used in the process of geological interpretation. Many diffraction imaging techniques have been developed and applied for isotropic media, whereas relatively few techniques have been developed for anisotropic media. Ignoring anisotropy can result in low‐resolution images with wrongly positioned or spurious diffractors. In this article, we suggest taking anisotropy into account in two‐dimensional post‐stack domain by considering P‐wave non‐hyperbolic diffraction traveltime approximations for vertical transverse isotropy media, previously developed for reflection seismology. The accuracy of the final images is directly connected to the accuracy of the diffraction traveltime approximations. We quantified the accuracy of six different approximations, including hyperbolic moveout approximation, by the application of a post‐stack diffraction imaging technique on two‐dimensional synthetic data examples.

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“…Casasanta and Fomel (2011) developed another velocity-independent time imaging technique for VTI media in the slant-stack (τ-p) domain. Stovas and Fomel (2016) proposed the use of local slopes to obtain kinematic attributes, including normal moveout (NMO) velocity, anisotropy anellipticity coefficient η, and zero-offset TWTT t 0 for different nonhyperbolic approximations. These include shifted hyperbola approximation (Malovichko, 1978;de Bazelaire, 1988;Castle, 1994), rational nonhyperbolic approximation (Alkhalifah and Tsvankin, 1995), and generalized moveout approximation (Fomel and Stovas, 2010).…”

Section: Introductionmentioning

confidence: 99%

Velocity-independent estimation of kinematic attributes in vertical transverse isotropy media using local slopes and predictive painting

2016

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Agood seismic velocity model is required for many routine seismic imaging techniques. Velocity model building from seismic data is often labor intensive and time consuming. The process becomes more complicated by taking nonhyperbolic traveltime estimations into account. An alternative to the conventional time-domain imaging algorithms is to use techniques based on the local event slopes, which contain sufficient information about the traveltime moveout for velocity estimation and characterization of the subsurface geologic structures. Given the local slopes, there is no need for a prior knowledge of a velocity model. That is why the term "velocity independent" is commonly used for such techniques. We improved upon and simplified the previous versions of velocity-independent nonhyperbolic approximations for horizontally layered vertical transverse isotropy (VTI) media by removing one order of differentiation with respect to offset from the imaging kinematic attributes. These kinematic attributes are derived in terms of the local event slopes and zero-offset two-way traveltime (TWTT). We proposed the use of predictive painting, which keeps all the attributes curvature independent, to estimate the zero-offset TWTT. The theoretical contents and performance of the proposed approach were evaluated on synthetic and field data examples. We also studied the accuracy of moveout attributes for shifted hyperbola, rational, three-parameter, and acceleration approximations on a synthetic example. Our results show that regardless of the approximation types, NMO velocity estimate has higher accuracy than the nonhyperbolicity attribute. Computational time and accuracy of the inversion of kinematic attributes in VTI media using our approach were compared with routine/conventional multiparameter semblance inversion and with the previous velocityindependent inversion techniques.

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Mapping of moveout attributes using local slopes

Cited by 12 publications

References 24 publications

Fast and robust common-reflection-surface parameter estimation

Fast and robust common-reflection-surface parameter estimation

Post‐stack diffraction imaging in vertical transverse isotropy media using non‐hyperbolic moveout approximations

Velocity-independent estimation of kinematic attributes in vertical transverse isotropy media using local slopes and predictive painting

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