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Diffraction stacking with stacking velocity analysis in a surface seismic survey

机译:衍射堆叠与表面地震调查中的堆叠速度分析

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A new type of prestack time migration method whose data processing scheme is analogous to that of conventional CMP method is presented. This proposed data processing method does not require multiples iterations for achieving the velocity structure in the case of prestack migration. The optimum constant stacking velocity can he determined at each image point from a stacking velocity analysis based on primary diffraction patterns.Both the conventional CMP stacking method and the conventional stacking velocity analysis are modified as follows.1. In the case of the CMP stacking method, the amplitudes of observed data are stacked along the reflection pattern in a CMP gather. On the other hand, in the case of diffraction stacking method with stacking velocity analysis, the amplitudes of observed data are stacked along the diffraction pattern in a common source gather or common receiver gather.2. Stacking velocity analysis can be a useful tool for detecting characteristic patterns. Conventional stacking velocity analysis is modified to detect patterns caused by diffraction events. Final stacked records can be obtained based on maximum coherency peaks on stacking velocity analysis panels.Firstly, proposed data processing procedure is described in detail. Secondly, the characteristic analysis of the proposed data processing is presented. We studied the S/N ratio of reflection images by numerical experiments which especially considered the effect of stacking aperture, defined as an angle range of collecting seismic traces. Our numerical experiments revealed that diffraction stacking generally has the ability to produce a seismic reflection image with higher S/N ratio than CMP stacking for a horizontal and dipping reflector. This can be explained by Huygens' principle. In case of dipping reflector, however, source/receiver geometrical arrangements are important. And also, stacking coverage, defined as an angle range of collecting seismic traces, is an important factor in obtaining the highest S/N ratio. This can be explained in terms of Fresnel zones. We also found that S/N ratio and horizontal resolution are in inverse proportion to each other.
机译:提出了一种新型的预先预先定时迁移方法,其数据处理方案类似于传统CMP方法的数据处理方案。这一提出的数据处理方法不需要乘法迭代以实现Prestack迁移的情况下实现速度结构。最佳恒定堆叠速度可以从基于初级衍射图案的堆叠速度分析确定在每个图像点。传统的CMP堆叠方法和传统的堆叠速度分析如下修改。在CMP堆叠方法的情况下,观察到的数据的幅度沿CMP聚集的反射模式堆叠。另一方面,在具有堆叠速度分析的衍射堆叠方法的情况下,观察到的数据的幅度沿着公共源收集或公共接收器收集的衍射图案堆叠。堆叠速度分析可以是用于检测特征模式的有用工具。修改常规堆叠速度分析以检测由衍射事件引起的模式。基于堆叠速度分析面板上的最大一致性峰值可以获得最终堆叠记录。首先,详细描述了所提出的数据处理过程。其次,提出了所提出的数据处理的特征分析。我们通过数值实验研究了反射图像的S / N比,这些实验特别考虑了堆叠孔的效果,被定义为收集地震迹线的角度范围。我们的数值实验表明,衍射堆叠通常具有比CMP堆叠为水平和浸渍反射器的S / N比的地震反射图像的能力。这可以通过惠更斯的原则来解释。然而,在浸渍反射器的情况下,源/接收器几何排列很重要。而且,定义为收集地震迹线的角度范围的堆叠覆盖,是获得最高S / N比的重要因素。这可以通过菲涅耳区域解释。我们还发现S / N比和水平分辨率彼此反向比例。

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