Velocity-independent "tau"-p Moveout in a Layered VTI Medium

Casasanta, L.; Fomel, Sergey

doi:10.3997/2214-4609.201400685

Cited by 6 publications

(5 citation statements)

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“…The non-hyperbolic form of this approximation allows computing the additional * E-mail: alexey.stovas@ntnu.no parameter related to effective heterogeneity or anisotropy. The case of 3-D elliptical anisotropy was considered by Burnett and Fomel (2009) and Casasanta (2011). The case of vertical transverse isotropy (VTI) was considered by Casasanta and Fomel (2011).…”

Section: Introductionmentioning

confidence: 99%

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Mapping of moveout attributes using local slopes

Stovas

Fomel

2015

Geophysical Prospecting

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A B S T R A C TDecomposing seismic data in local slopes is the basic idea behind velocity-independent imaging. Using accurate moveout approximations enables computing moveout attributes such as normal moveout velocity and nonhyperbolic parameters as functions of zero-offset travel time. Mapping of moveout attributes is performed from the pre-stack seismic data domain into the time-migrated image domain. The different moveout attributes have different accuracy for a given moveout approximation that depends on the corresponding order of travel-time derivative. The most accurate attribute is the zero-offset travel time, and the nonhyperbolic parameter has the worst accuracy, regardless of the moveout approximation. Typically, the mapping of moveout attributes is performed using a point-to-point procedure, whereas the generalized moveout approximation requires two point-to-point mappings. Testing the attribute mapping on the different models shows that the accuracy of mapped attributes is model dependent, whereas the generalized moveout approximation gives practically exact results.

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Section: Introductionmentioning

confidence: 99%

“…The case of 3-D elliptical anisotropy was considered by Burnett and Fomel (2009) and Casasanta (2011). The case of vertical transverse isotropy (VTI) was considered by Casasanta and Fomel (2011).…”

Section: Introductionmentioning

confidence: 99%

Mapping of moveout attributes using local slopes

Stovas

Fomel

2015

Geophysical Prospecting

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“…Khoshnavaz et al (2016a) proposed to use predictive painting (Fomel 2010) of local slopes to estimate the kinematic attributes, which substitutes the need for curvatures by using the result of predictive painting. The local slopes are also applied to other steps of seismic data processing and imaging (Cooke et al 2009;Bóna 2011;Khoshnavaz et al 2016b;Khoshnavaz 2017;Decker et al 2017;Casasanta and Fomel 2011). The local slopes can be obtained by so-called plane-wave destruction (PWD) (Claerbout 1992;Fomel 2002;Fomel and Stovas 2010).…”

Section: Introductionmentioning

confidence: 99%

Automatic estimation of traveltime parameters in VTI media using similarity-weighted clustering

Liu

Zhang

et al. 2020

Pet. Sci.

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Compared with hyperbolic velocity estimation methods, nonhyperbolic methods (such as shifted hyperbola) are better choices for large offsets or vertical transverse isotropy (VTI) media. Since local seismic event slope contains subsurface information, they can be used to estimate zero-offset two-way traveltime and normal moveout velocity. The traditional velocity estimation methods require a great deal of manual work and are also prone to human error. In order to estimate the traveltime parameters for VTI media automatically, in this paper, we propose to use predictive painting and similarity-weighted clustering to obtain traveltime parameters. The predictive painting is used to estimate zero-offset two-way traveltime, and the shifted-hyperbola traveltime equation is used to obtain velocity and anisotropy attributes. We first map local slopes to zero-offset two-way traveltime and moveout-parameters domain and then use similarity-weighted k-means clustering to find the maximum likelihood anisotropy parameters of the main subsurface structures. In order to demonstrate that, we apply the similarity-weighted clustering method to synthetic and field data examples and the results are of higher accuracy when compared to the ones obtained using multiparameter semblance-based method. From estimation error section, it can be seen that the estimation error of multiparameter semblance-based method is about 3-5 times that of the proposed method.

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“…Local data slopes were used for tomographic velocity model building by Sword (1987) and later extended in the method of stereo-tomography by Billette and Lambaré (1998), Billette et al (2003) and Lambaré et al (2004). Slope estimation in data were used for depth imaging (Baina et al 2003), moveout correction (Casasanta and Fomel 2011), time imaging (Fomel 2007) and fast beam migration (Sherwood et al 2009;Duchkov, Andersson and Ojala 2012). Slopes in a seismic stack were used for parsimonious migration in Hua and McMechan (2003).…”

Section: Introductionmentioning

confidence: 99%

“…Slope estimation in data were used for depth imaging (Baina et al . ), moveout correction (Casasanta and Fomel ), time imaging (Fomel ) and fast beam migration (Sherwood et al . ; Duchkov, Andersson and Ojala ).…”

Section: Introductionmentioning

confidence: 99%

Extended structure tensors for multiple directionality estimation

Андерссон

Duchkov

2013

Geophysical Prospecting

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Standard structure tensors provide a robust way of directionality estimation of waves (or edges) but only for the case when they do not intersect. In this work, a structure tensor extension using a one‐way wave equation is proposed as a tool for estimating directionality in seismic data and images in the presence of conflicting dips. Detection of two intersecting waves is possible in a two‐dimensional case. In three dimensions both two and three intersecting waves can be detected. Moreover, a method for directionality filtering using the estimated directions is proposed. This method makes use of the ideas of a one‐way wave equation but can be applied to generic images not related to wave propagation.

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Velocity-independent "tau"-p Moveout in a Layered VTI Medium

Cited by 6 publications

References 0 publications

Mapping of moveout attributes using local slopes

Mapping of moveout attributes using local slopes

Automatic estimation of traveltime parameters in VTI media using similarity-weighted clustering

Extended structure tensors for multiple directionality estimation

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