Extending the high end of C‐wave bandwidth to match P‐wavelengths

Gaiser, James; Verm, Richard; Chaveste, Alvaro

doi:10.1190/1.3628114

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Because this effect is considerably worse at larger offsets and earlier times, a mute is used to zero data that is stretched beyond a set threshold. Several authors also note that the process of squeezing a PS image to PP time distorts the seismic wavelet (Bansal & Matheney, 2010;Gaiser et al, 2011Gaiser et al, , 2013Ursenbach et al, 2013). If the required amount of squeezing varies in space or time, then the warped PS wavelet also varies.…”

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confidence: 99%

“…Gaiser et al (2011) point out that this method is able to better match the PS-wave data with the P-wave data than if only warping was applied, but wavelet distortions occur because the average V p /V s ratios are assumed to be constant over the time of the wavelet. Gaiser et al (2013) remove this assumption to reduce wavelet distortion and apply filters that compress PS wavelets to yield results similar to those in Gaiser et al (2011).…”

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confidence: 99%

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Wavelets and warping PS seismic images

Graziano

2014

SEG Technical Program Expanded Abstracts 2014

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Many seismic processing techniques warp a seismic trace. This warping often results in wavelet distortion throughout the trace and needs to be reduced to prevent errors in future processing steps. I propose a new method to reduce wavelet distortion that deconvolves the wavelet from a trace to be warped, warps the resulting impulses without distorting them, and convolves with the wavelet in a reference trace. Moreover, this warping-with-wavelets algorithm can be used to estimate the required wavelets in the trace to be warped and in the reference trace. The primary advantage over previous methods is that this algorithm involves deconvolution of the wavelet from the trace to be warped before warping. I offer a specific example of where this method can be applied to reduce wavelet distortion by warping the reflectors in a PS seismic image to align with those in a PP seismic image. Not only is wavelet distortion reduced in the warped PS image, but PP and PS wavelets are also estimated.

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confidence: 99%

Section: List Of Figuresmentioning

confidence: 99%

Wavelets and warping PS seismic images

Graziano

2014

SEG Technical Program Expanded Abstracts 2014

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Limits on resolution enhancement for PS data mapped to PP time

Ursenbach¹,

Cary²,

Perz³

2013

The Leading Edge

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Motivated by the desire for greater resolution in PS data, and an interest in methods designed to produce this, we have explored some fundamental concepts of PS resolution in order to better understand proposed methods. Our study has produced three key results: PS-to-PP mapping using either interval or average velocity ratios yields identical results. Although mapping changes the bandwidth of the PS signal, it does not change its wavelength or resolution. Modest increases in resolution can be realized after mapping if the wavelet is known, but any method designed to increase bandwidth without such knowledge should be treated with caution.

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AVO inversion for sand-distribution prediction in oil sands reservoir

Kato¹,

Stewart²

2012

J. Petroleum Tech.

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In the Athabasca oil sands, which is a large deposit of heavy oil, located in northeast Alberta, Canada, it is common that impermeable shale intricately exists within the reservoirs and can potentially act as permeability baf es. For reservoir management, it is important to precisely delineate the intrareservoir shale. The main goals of this study are to establish a rock physics model of poorly consolidated, heavy oil-saturated sands and to estimate density by applying three-term AVO inversion to P-P re ected and P-S converted wave data. We rst explore viscoelastic features of heavy oil by using ultrasonic velocity measurement data collected over a wide temperature range. By using viscoelastic model, temperature and frequency dependences of the bulk and shear moduli are predicted. Furthermore, we establish a rock physics model of poorly-consolidated, heavy-oil saturated sands. For the case of inclusions in a matrix, Generalized Singular Approximation method is used to obtain the effective properties. The model incorporates the viscoelastic features of heavy oil to estimate velocity dispersion associated with the viscosities. Density has a large contrast between reservoir and shale and is a desired property for reservoir delineation in the Athabasca oil sands. A P-P and P-S joint AVO inversion method is developed by extending an Bayesian inversion technique to multicomponent data. We apply the developed method to the Hangingstone oilfield to estimate density volume. The estimated density is practically consistent with the well log, implying that the method can provide a quantitative description of oil sands reservoir. Keywords： heavy oil, viscoelasticity, P-P & P-S joint inversion, Bayesian inversion ＊平成 23 年 6 月 8 日，平成 23 年度石油技術協会春季講演会，地質・探鉱部門シンポジウム「岩石物性の理解は進んだか？-最近のペトロフィジックスの現状と課題-」で講演 This paper was presented at the 2011 JAPT Geology and Exploration Symposium entitled "Petrophysics-Current applications and challenges for evaluation of rock properties"

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Extending the high end of C‐wave bandwidth to match P‐wavelengths

Cited by 3 publications

References 8 publications

Wavelets and warping PS seismic images

Wavelets and warping PS seismic images

Limits on resolution enhancement for PS data mapped to PP time

AVO inversion for sand-distribution prediction in oil sands reservoir

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