3D Prestack Beam Migration with Compensation for Frequency Dependent Absorption and Dispersion

Xie, Yujiang; Notfors, Carl; Sun, Jie; Xin, Kuo; Biswal, Ajoy; Balasubramaniam, MK

doi:10.3997/2214-4609.201400668

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Xin et al (2009) proposed a 3D tomographic Q-inversion process based on equation (1). Kirchhoff Q-migration (Xie et al, 2010) is utilized to produce common image gathers for the Q-tomography. Amplitude ratio A A 0 is generated along picked horizons for each given frequency and offset.…”

Section: Q-tomographymentioning

confidence: 99%

“…Since Q-attenuation happens during wave propagation, it is more accurate to compensate for Q effects during a prestack depth migration than to compensate for them in the time domain before migration. In order to apply the Qmodel during ray-based migrations such as Kirchhoff or beam migration, a complex travel time computation is needed (Traynin et al, 2008;Xie et al, 2009Xie et al, , 2010. However, a ray-based migration has difficulties in imaging complex areas with strong velocity contrasts in the velocity model.…”

Section: Q-reverse Time Migration (Q-rtm)mentioning

confidence: 99%

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Use Q‐RTM to Image Beneath Gas Hydrates in Alaminos Canyon, Gulf of Mexico

Chen

Huang

2010

SEG Technical Program Expanded Abstracts 2010

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Gas hydrates buried in the shallow sediments below the ocean cause amplitude attenuation, wavelet phase distortion, and frequency loss in the seismic reflection data beneath them. This can make reservoir evaluation based on the deeper seismic image difficult. The distortion can be compensated by using pre-stack inverse Q-filtering, or by a more sophisticated Q-migration. While inverse Q-filtering (amplitude and phase) is a traditional method to correct these problems, it is not sufficient to compensate for localized image distortion resulting from complex overburden structures. A dataset in Alaminos Canyon, Gulf of Mexico was used to perform a 3D Q-tomographic inversion. The derived Q-model of the gas hydrates was used in Q-Reverse Time Migration (Q-RTM) (Zhang et al, 2010) to improve the imaging around complex geological structures. The results show that Q-tomography can generate a reliable Q-model from the surface seismic data, and that Q-RTM can reduce the energy loss and image distortion caused by the shallow gas hydrates. Altogether, Q-tomography and Q-RTM provide an improved structural definition and more uniform amplitude distribution for a more accurate and interpretable seismic section.

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Section: Q-tomographymentioning

confidence: 99%

Section: Q-reverse Time Migration (Q-rtm)mentioning

confidence: 99%

Use Q‐RTM to Image Beneath Gas Hydrates in Alaminos Canyon, Gulf of Mexico

Chen

Huang

2010

SEG Technical Program Expanded Abstracts 2010

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“…The analysis is performed on migrated data and based on the tomographic velocity updating algorithm described by Zhou et al (2003). Xie et al (2009Xie et al ( , 2010 have developed an efficient approach for compensation of frequency dependent dissipation effects in Kirchhoff and Gaussian beam prestack depth migration making use of the absorption model estimated from a 3D tomographic amplitude inversion. It applies Q compensation during migration, fully honoring actual raypaths.…”

Section: Introductionmentioning

confidence: 99%

Compensating for visco-acoustic effects in TTI reverse time migration

Xie

Sun

Zhou

2015

SEG Technical Program Expanded Abstracts 2015

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Anelastic effects of the overburden cause seismic amplitude attenuation, wavelet phase distortion and seismic resolution reduction. It is desirable to correct the frequency dependent energy attenuation and phase distortion within a prestack depth migration. The situation becomes more challenging in complex geological regions which host absorption effects such as shallow gas clouds. The wavefields can be severely complicated and distorted by strong velocity contrasts and significant attenuation, hence masking the image of deeper targets. To deal with such challenges associated with absorption in complex geological regions, which need to account for multi-pathing and anisotropy in wave propagation, we have developed a stable visco-acoustic TTI reverse time migration (RTM). This is based on a formulation we derived for viscoacoustic wave propagation in a TTI medium to compensate for the anelastic effects in seismic data. We will demonstrate our visco-acoustic TTI RTM with both synthetic and field data examples.

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“…Thus, the ability to accurately predict reservoir properties is affected. Therefore, there is a need to compensate for the absorption caused by such transmission anomalies (Xie, 2010).…”

Section: Introductionmentioning

confidence: 99%

Attenuation compensation in multicomponent Gaussian beam prestack depth migration

Chen

Liu

2015

Appl. Geophys.

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Gaussian beam prestack depth migration is an accurate imaging method of subsurface media. Prestack depth migration of multicomponent seismic data improves the accuracy of imaging subsurface complex geological structures. Viscoelastic prestack depth migration is of practical significance because it considers the viscosity of the subsurface media. We use Gaussian beam migration to compensate for the attenuation in multicomponent seismic data. First, we use the Gaussian beam method to simulate the wave propagation in a viscoelastic medium and introduce the complex velocity Q-related and exact viscoelastic Zoeppritz equation. Second, we discuss PP-and PS-wave Gaussian beam prestack depth migration algorithms for common-shot gathers to derive expressions for the attenuation and compensation. The algorithms correct the amplitude attenuation and phase distortion caused by Q, and realize multicomponent Gaussian beam prestack depth migration based on the attenuation compensation and account for the effect of inaccurate Q on migration. Numerical modeling suggests that the imaging resolution of viscoelastic Gaussian beam prestack depth migration is high when the viscosity of the subsurface is considered.

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3D Prestack Beam Migration with Compensation for Frequency Dependent Absorption and Dispersion

Cited by 4 publications

References 4 publications

Use Q‐RTM to Image Beneath Gas Hydrates in Alaminos Canyon, Gulf of Mexico

Use Q‐RTM to Image Beneath Gas Hydrates in Alaminos Canyon, Gulf of Mexico

Compensating for visco-acoustic effects in TTI reverse time migration

Attenuation compensation in multicomponent Gaussian beam prestack depth migration

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