Focal beam analysis for 3D acquisition geometries in complex media with GPU implementation

Su, Jun; Fu, Li‐Yun; Wei, Wei; Hu, Junhua; Sun, Weijia

doi:10.1016/j.cageo.2018.05.007

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…Following the studies on the horizontal resolution of acquisition geometries [28], [32], we incorporate classic resolution criteria into the multifrequency focal-beam method with an attempt to measure both the horizontal and vertical resolutions of acquisition geometries for seismic imaging in complex media. Unlike the aforementioned conventional wavefield extrapolation from sources (forward) and receivers (backward) to subsurface targets, we modify the focal beaming of wavefields by a more efficient way, that is, we mainly concern the upward continuation of wavefields from a deep target to the surface, significantly reducing the computational cost of high-density and wide-aperture seismic acquisitions.…”

Section: Introductionmentioning

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: Introductionmentioning

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

Self Cite

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“…Both types of methods face the challenges of a large parameter space and the nonlinearity of the design problem. Research has shown that global optimization algorithms are effective for solving nonlinear problems; however, the computational costs remain high [18]. Linearized optimization algorithms are fast.…”

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confidence: 99%

Automated Seismic Acquisition Geometry Design for Optimized Illumination at the Target: A Linearized Approach

Verschuur

Blacquière

2022

IEEE Trans. Geosci. Remote Sensing

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In seismic exploration methods, imperfect spatial sampling at the surface causes a lack of illumination at the target in subsurface. The hampered image quality at the target area of interest causes uncertainties in reservoir monitoring and production, which can have a substantial economic impact. Especially in the case of a complex overburden, the impact of surface sampling on target illumination can be significant. Targetoriented acquisition analysis based on wavefield propagation and a known velocity model has been used to provide guidance for optimizing the acquisition parameters. Seismic acquisition design is usually a manual optimization process, with consideration of many aspects. In this study, we develop a methodology that automatically optimizes an irregular receiver geometry when the source geometry is fixed, or vice versa. The methodology includes objective functions defined by two criteria: optimizing the image resolution; and optimizing the angle-dependent illumination information. We use a two-step parameterization in order to make the problem more linear and, thereby, solve the acquisition design problem by using a gradient descent algorithm. With simple and complex velocity models, we demonstrate that the proposed method is effective, while the involved computational cost is acceptable. Interestingly, the optimization results in our examples show that the conventional uniform geometry already satisfies the resolution requirement, while optimizing for angle coverage can provide a large uplift and is strongly dependent on the velocity model.

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Data-driven double-focusing resolution analyses for seismic imaging

Fu,

Tang,

Wei

et al. 2024

GEOPHYSICS

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Seismic imaging requires a supporting tool to measure its resolution characteristics as a basis for seismic interpretation. However, traditional focal-beam resolution analyses are usually applied to acquisition geometries by calculating the impulse response of a single point in a reference velocity model. Seismic data to directly estimate the spatial resolution of migrated images remains unaddressed. We address this data resolution by incorporating weighted focal beams into the prestack migration process to develop a data-driven double-focusing (DF) resolution analysis method for complex media. Unlike traditional resolution analyses that define the system resolution of acquisition geometries using a unit point reflector, the data-driven resolution analysis for seismic imaging uses angle-trace gathers that contain all the information of acquisition geometries, migration velocities, propagation effects, and reflectivities. The data-driven resolution analysis consists of the detector- and source-focusing processes using common-shot and common-detector gathers, respectively, followed by a multiplication of weighted focal detector and source beams. The resulting resolution function can be used to calculate the horizontal and vertical resolution and sharpness of a given imaging point. It is implemented along with prestack migration to share the same wavefield extrapolation without invoking extra computational cost. We benchmark the data-driven method for a homogeneous medium containing single-point and double-point targets by conventional point-spread and focal-beam methods. Numerical experiments with wedge-model synthetic data and field data show the performance of the DF resolution analysis, demonstrating the effects of propagation attenuation, incorrect migration velocity, and noise contamination, which significantly reduce the system resolution of acquisition geometries.

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Focal beam analysis for 3D acquisition geometries in complex media with GPU implementation

Cited by 3 publications

References 40 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

Automated Seismic Acquisition Geometry Design for Optimized Illumination at the Target: A Linearized Approach

Data-driven double-focusing resolution analyses for seismic imaging

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