3D True Amplitude Migration by Regularisation in Angle Domain

Rousseau, V.; Nicoletis, L.; Svay-Lucas, J.; Rakotoarisoa, Hery

doi:10.3997/2214-4609-pdb.28.b13

Cited by 13 publications

(4 citation statements)

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“…To meet this requirement, some Voronoi binning can be applied beforehand. At this point appeared another family of true amplitude approaches, that perform an explicit regularization of illumination at the depth point: the microlocal inversion in the angle domain of Brandsberg-dahl et al (1999), the regularization of dip in the offset domain of Albertin et al (1999), and two different implementations of the regularization of illumination in the dip angle and scattering angle domains, Rousseau et al (2000) and Audebert et al (2000). The present paper is a follow-up on this latter paper.…”

Section: Introductionmentioning

confidence: 93%

“…Rather than compensating the fold on the acquisition side (in offset-CMP domain), we will compensate the illumination fold directly in the angle domain at the depth point. And rather than triangulating the illumination fold as in Rousseau et al (2000), we will restore a constant fold among equal-area bins of illumination dip angles. First, we set the bin area to a constant unit, and then we restore the fold to 1 in each angle bin, since ideally the imaged point should receive one and only one contribution per unit bin (scattering angles, illumination dip angles).…”

Section: Restored Amplitude Imaging By Hitcount Compensationmentioning

confidence: 99%

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Insights into migration in the angle domain

Audebert

Froidevaux

Rakotoarisoa

et al. 2002

SEG Technical Program Expanded Abstracts 2002

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We examine some aspects of the Kirchhoff migration in the angle domains. The angle domains we refer to are the scattering angle domain (both opening and azimuth of scattering), which replaces the surface related offset and azimuth of acquisition, and the illumination dip angle domain (having two components in 3D). We examine the insight given to the Kirchhoff summation and to the stationary phase approximation, by virtue of the decomposition of the migration in the illumination dip angle domain. Additionally we point out some differences between angle domain and offset domain migration.

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Section: Introductionmentioning

confidence: 93%

Section: Restored Amplitude Imaging By Hitcount Compensationmentioning

confidence: 99%

Insights into migration in the angle domain

Audebert

Froidevaux

Rakotoarisoa

et al. 2002

SEG Technical Program Expanded Abstracts 2002

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“…Angle-domain common-image gathers (ADCIGs) have become a common tool for analysing prestack depth migration images. Several researchers have studied the extraction scheme of ADCIGs by using Kirchhoff migration methods (Operto et al 2000;Rousseau et al 2000;Xu et al 2001;Brandsberg-Dahl et al 2003;Koren et al 2008) and wave-equation migration methods (de Bruin et al 1990;Rickett and Sava 2002;Sava and Fomel 2003;Biondi and Symes 2004;Rosales et al 2008;Zhang et al 2010;Sava and Vlad 2011;Xu et al 2011;Zhang and McMechan 2011). The problems observed for offset-domain common-image gathers (ODCIGs), such as failing to properly characterise complex propagation paths and producing artifacts because of the ambiguity of reflector positions caused by multipathing, can be alleviated using ADCIGs.…”

Section: Introductionmentioning

confidence: 99%

Angle-domain common-image gathers from anisotropic Gaussian beam migration and its application to anisotropy-induced imaging errors analysis

Han

Wang

et al. 2017

J Earth Syst Sci

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An approach for extracting angle-domain common-image gathers (ADCIGs) from anisotropic Gaussian beam prestack depth migration (GB-PSDM) is presented in this paper. The propagation angle is calculated in the process of migration using the real-value traveltime information of Gaussian beam. Based on the above, we further investigate the effects of anisotropy on GB-PSDM, where the corresponding ADCIGs are extracted to assess the quality of migration images. The test results of the VTI syncline model and the TTI thrust sheet model show that anisotropic parameters ε, δ, and tilt angle θ, have a great influence on the accuracy of the migrated image in anisotropic media, and ignoring any one of them will cause obvious imaging errors. The anisotropic GB-PSDM with the true anisotropic parameters can obtain more accurate seismic images of subsurface structures in anisotropic media.

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“…Many papers have been published which study and emphasize the importance of generating common-image-angle gathers directly at the subsurface points rather than the universally used surface-offset image gathers, especially in complex geological areas where the wavefield includes multipathing ͑e.g., ten Kroode et al, 1994;Nolan and Symes, 1996;Brandsberg-Dahl et al, 1999;Rousseau et al, 2000;Xu et al, 2001;Audebert et al, 2002;Koren et al, 2002;Rickett and Sava, 2002;Brandsberg-Dahl et al, 2003;Foss and Ursin, 2004;Sollid and Ursin, 2003;Soubaras, 2003;Bleistein et al, 2005aBleistein et al, , 2005bWu and Chen, 2006;Biondi, 2007a Manuscript received by the Editor 28 December 2009; revised manuscript received 13 July 2010; published online 4 January 2011. 1 Although the theory of angle-domain imaging is well established, its implementation, especially for large-scale 3D models or for highresolution reservoir imaging, remains extremely challenging.…”

Section: Introductionmentioning

confidence: 99%

Full-azimuth subsurface angle domain wavefield decomposition and imaging Part I: Directional and reflection image gathers

2011

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We present a new subsurface angle-domain seismic imaging system for generating and extracting high-resolution information about subsurface angle-dependent reflectivity. The system enables geophysicists to use all recorded seismic data in a continuous fashion directly in the subsurface local angle domain ͑LAD͒, resulting in two complementary, full-azimuth, common-imageangle gather systems: directional and reflection. The complete set of information from both types of angle gathers leads to accurate, high-resolution, reliable velocity model determination and reservoir characterization. The directional angle decomposition enables the implementation of specular and diffraction imaging in real 3D isotropic/anisotropic geological models, leading to simultaneous emphasis on continuous structural surfaces and discontinuous objects such as faults and small-scale fractures. Structural attributes at each subsurface point, e.g., dip, azimuth and continuity, can be derived directly from the directional angle gathers. The reflection-angle gathers display reflectivity as a function of the opening angle and opening azimuth. These gathers are most meaningful in the vicinity of actual local reflecting surfaces, where the reflection angles are measured with respect to the derived background specular direction. The reflection-angle gathers are used for automatic picking of full-azimuth angle-domain residual moveouts ͑RMO͒ which, together with the derived background orientations of the subsurface reflection horizons, provide a complete set of input data to isotropic/anisotropic tomography. The full-azimuth, angle-dependent amplitude variations are used for reliable and accurate amplitude versus angle and azimuth ͑AVAZ͒ analysis and reservoir characterization. The proposed system is most effective for imaging and analysis below complex structures, such as subsalt and subbasalt, high-velocity carbonate rocks, shallow low-velocity gas pockets, and others. In addition, it enables accurate azimuthal anisotropic imaging and analysis, providing optimal solutions for fracture detection and reservoir characterization.

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3D True Amplitude Migration by Regularisation in Angle Domain

Cited by 13 publications

References 0 publications

Insights into migration in the angle domain

Insights into migration in the angle domain

Angle-domain common-image gathers from anisotropic Gaussian beam migration and its application to anisotropy-induced imaging errors analysis

Full-azimuth subsurface angle domain wavefield decomposition and imaging Part I: Directional and reflection image gathers

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