A robust and accurate seismic attenuation tomography algorithm

Hu, Wenyi; Liu, Jonathan; Bear, Lorie K.; Marcinkovich, Carey

doi:10.1190/1.3627760

Cited by 32 publications

(15 citation statements)

References 10 publications

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“…A key element of the centroid frequency shift method (CFS) is deciding what analytical function should be used to fit the amplitude spectrum of wavelets before and after passing through media with attenuation, with various analytic functions having been proposed (Quan and Harris, 1997;Hu et al, 2011). However, we found the accuracy of Q tomographic inversion to be sensitive to the accuracy of the fitting and that the fixed wavelet fitting function cannot describe the real source wavelet accurately.…”

Section: Methodsmentioning

confidence: 99%

“…Quan and Harris (1997) developed a method for estimating seismic attenuation based on frequency shift data. Hu et al (2011) designed a source amplitude spectrum fitting function to handle asymmetric source amplitude spectra. The shape and the bandwidth of the function are determined by two independent parameters, however, the accuracy is limited by the error in fitting source amplitude spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Centroid Frequency Shift Q Tomography

2014

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The propagation of seismic waves through visco-acoustic media is affected by frequency dependent absorption which is often described by the quality factor Q where a low Q means more loss of signal strength and bandwidth. Complex variations in attenuation, if not accounted for, can severely compromise both the amplitude and phase of the migrated data. This in turn affects the ability to accurately predict reservoir properties. In this paper we propose a new tomographic approach using adaptive centroid frequency shift (CFS) information from surface seismic data to estimate Q.By picking the events in the migrated section and ray-tracing back to the unmigrated data domain, the centroid frequency of the unmigrated data can be measured for the picked events in the depth migrated CIG gathers. After applying the correction generated on the fly for the given source wavelet, these adaptively corrected CFS will then be back-projected along ray path to reconstruct the attenuation distribution through our tomographic inversion.A synthetic test and a real data example will be presented to demonstrate how our approach can accurately estimate a Q model and can be included in the Q compensation process to fully account for the frequency dependent attenuation effects observed on seismic data.A key element of the CFS method is deciding what analytical function should be used to fit the amplitude spectrum of wavelets before and after passing through visco-acoustic media. However, we found the accuracy of Q tomographic inversion to be sensitive to the accuracy of the fitting and that the fixed wavelet fitting function cannot describe the real source wavelet accurately. An adaptive correction is applied to the observed centroid frequency to account for any deviation from the explicit relationship through tabulating the absorption effect for different accumulated dissipation time. These adaptively corrected centroid frequency shifts improve the stability and the accuracy of the inversion.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Centroid Frequency Shift Q Tomography

2014

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“…The first step is to derive a spatially and temporally variant interval 1/Q model in 3 dimensions. This can be achieved using ray-based reflection tomography techniques (Cavalca et al, 2011;Hu et al, 2011), also commonly referred to as Q tomography. The Q tomography approach used in this study relies on estimating the attenuated traveltimes from prestack pre-migrated data and tomographically inverting them to derive a 3D 1/Q model.…”

Section: Q Tomography and Q Imagingmentioning

confidence: 99%

Imaging through shallow gas: Integrating broadband acquisition, processing and high-end model building for improved imaging of deeper targets

Menzel-Jones

Rindschwentner²,

Lim³

et al. 2015

ASEG Extended Abstracts

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“…Significant progress has been achieved over the last decade, improving anisotropy modeling and increasing model resolution (Woodward et al 2008). Furthermore, ray-based tomography can be used to derive absorption (Q) depth models (Cavalca et al 2011;Hu et al 2011). This process is often referred to as Q tomography.…”

Section: D High-resolution Tomography and Q-imagingmentioning

confidence: 99%

Enhanced 4D Imaging in West Africa Using High-resolution Tomography and Q-imaging

Cavalca¹,

Penwarden²,

King³

et al. 2013

Proceedings

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A high-resolution tomography and imaging approach is used to enhance the 3D and 4D responses of a complex production field, West Africa. The approach relies upon building a high-resolution anisotropic vertical transverse isotropic earth model including anisotropic velocity and 1/Q components and applying amplitude and phase Q-compensation within Kirchhoff prestack depth migration. Velocity and absorption effects associated with overburden heterogeneities are nicely mitigated, leading to enhanced amplitudes and resolution in the prestack gathers and 3D/4D images.

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A robust and accurate seismic attenuation tomography algorithm

Cited by 32 publications

References 10 publications

Adaptive Centroid Frequency Shift Q Tomography

Adaptive Centroid Frequency Shift Q Tomography

Imaging through shallow gas: Integrating broadband acquisition, processing and high-end model building for improved imaging of deeper targets

Enhanced 4D Imaging in West Africa Using High-resolution Tomography and Q-imaging

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