3D diffraction imaging of linear features and its application to seismic monitoring
3D diffraction imaging of linear features and its application to seismic monitoring
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DOI：
10.1111/1365-2478.12063
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发表时间：
2013-06
影响因子：
2.6
通讯作者：
Faisal Alonaizi;R. Pevzner;A. Bona;V. Shulakova;B. Gurevich
中科院分区：
文献类型：
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作者：
Faisal Alonaizi;R. Pevzner;A. Bona;V. Shulakova;B. Gurevich
许多地下特征，如断层、裂缝、裂缝或流体含量终止，都是由地质不连续所定义的。这些特征的地震响应被编码为衍射波。我们开发了一种通过检测边缘绕射来成像这种不连续的算法。该算法利用边缘绕射的相位反转现象，并将其作为将这些绕射与镜面反射和由较薄物体产生的绕射分开的判据。在合成和实际三维地震数据上验证了该方法的性能。输出图像将绕射能量聚焦回其原点，并在对象的边缘显示高相似值。该方法被应用于产生仅包含被称为D体积的衍射事件的图像的传统堆叠数据。我们还利用时间推移分析揭示了衍射成像和跟踪二氧化碳羽流变化的潜力，并检测到从其主要安全壳中可能发生的任何二氧化碳泄漏。
Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. The seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm exploits phase‐reversal phenomena of edge diffractions and uses them as a criterion to separate these diffractions from specular reflections and diffractions produced by a leaner object. The performance of the method is demonstrated on both synthetic and real 3D seismic data. The output image focuses the diffracted energy back to its origin and shows high semblance values at the edge of the object. The method is applied on conventionally stacked data producing an image that contains only diffraction events called the D‐volume. We also reveal the potential of diffractions to image and track the changes of a CO2 plume using time‐lapse analysis and detect any possible CO2 seepage from its primary containment.