Infill decisions using simulated migration amplitudes

Brink, M.; Jones, N.; Doherty, Jonathan; Vinje, Vetle; Laurain, Renaud

doi:10.1190/1.1842412

Cited by 5 publications

(2 citation statements)

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“…These coverage deficiencies, also referred as coverage holes, definitely destroy the quality of acquired data. Evaluation of data degradation has been extensively studied in terms of amplitude losses and time shifts in the final migrated image compared to a reference model with full coverage [42], [43], [31]. In this paper, we address this issue by focal-beam resolution analyses.…”

Section: Coverage Deficienciesmentioning

confidence: 99%

Numerical Method for Horizontal and Vertical Spatial Resolutions of Seismic Acquisition Geometries in Complex 3D Media

Wei

Liu

et al. 2020

IEEE Access

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Spatial sampling, finite bandwidth, and overlying-strata shielding are three key issues to affect the spatial resolution of seismic imaging for deep targets. Some factors have a great impact on the horizontal resolution, whereas others influence the vertical resolution. How to quantify these effects remains controversial for complex media. Most previous studies on seismic acquisition geometries focus on the horizontal resolution for layered media but neglecting to measure the vertical resolution especially in complex media. Conventional criteria for vertical resolution are based on the theory of geometric seismology with the assumption of a simple medium. As a practical alternative for resolution estimation in complex media, numerical methods with wavefield extrapolation for focal-beam analysis can provide comprehensive insight into the combined effect of acquisition geometries, bandlimited frequencies, and complex media on the horizontal and vertical spatial resolutions of acquisition geometries. We incorporate some classic criteria into the focal-beam numerical analysis to measure the spatial resolutions. Four parameters are used to quantify the performance of acquisition geometries. The horizontal (vertical) resolution is defined as the main-lobe width of a focal beam along the horizontal (vertical) direction, whereas the square root of the peak-to-total ratio of energies is referred to as the horizontal (vertical) sharpness. These parameters describe the horizontal and vertical spatial resolution and sharpness to image the target. Numerical examples with typical acquisition geometries demonstrate the performance of numerical resolution analyses in complex media.

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Section: Coverage Deficienciesmentioning

confidence: 99%

Numerical Method for Horizontal and Vertical Spatial Resolutions of Seismic Acquisition Geometries in Complex 3D Media

Wei

Liu

et al. 2020

IEEE Access

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show abstract

“…Additionally, simulated Kirchhoff migration amplitudes can be calculated, as described by Laurain et al ͑2002͒. Application of this method is demonstrated by Moldoveanu et al ͑2003͒ andBrink et al ͑2004͒. Because computational power is increasing, it is expected that methods based on the full sequence of 3D modeling and migration will gain interest ͑e.g., Jurick et al, 2003;Regone, 2006͒. Nevertheless, this sequence is currently too laborious to be used for an acquisition design procedure because that requires an iterative application.…”

Section: Introductionmentioning

confidence: 99%

Acquisition geometry analysis in complex 3D media

2008

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Increasingly, we must deal with complex subsurface structures in seismic exploration, often resulting in poor illumination and, therefore, poor image quality. Consequently, it is desirable to take into consideration the effects of wave propagation in the subsurface structure when designing an acquisition geometry. We developed a new, model-based implementation of the previously introduced focal-beam analysis method. The method's objective is to provide quantitative insight into the combined influence of acquisition geometry, overburden structure, and migration operators on image resolution and angle-dependent amplitude accuracy. This is achieved by simulation of migrated grid-point responses using focal beams. Note that the seismic response of any subsurface can be composed of a linear sum of grid-point responses. The focal beams have been chosen because any migration process represents double focusing. In addition, the focal source beam and focal detector beam relate migration quality to illumination properties of the source geometry and sensing properties of the detector geometry, respectively. Wave-equation modeling ensures that frequency-dependent effects in the seismic-frequency range are incorporated. We tested our method by application to a 3D salt model in the Gulf of Mexico. Investigation of well-sampled, all-azimuth, long-offset acquisition geometries revealed fundamental illumination and sensing limitations. Further results exposed the shortcomings of narrow-azimuth data acquisition. The method also demonstrates how acquisition-related amplitude errors affect seismic inversion results.

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Determining infill specifications based on geophysical criteria

Day¹,

Rekdal²

2005

SEG Technical Program Expanded Abstracts 2005

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Infill decisions using simulated migration amplitudes

Cited by 5 publications

References 0 publications

Numerical Method for Horizontal and Vertical Spatial Resolutions of Seismic Acquisition Geometries in Complex 3D Media

Numerical Method for Horizontal and Vertical Spatial Resolutions of Seismic Acquisition Geometries in Complex 3D Media

Acquisition geometry analysis in complex 3D media

Determining infill specifications based on geophysical criteria

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