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    倾角域交叉约束高斯束绕射波偏移方法

    Gaussian beam diffraction imaging based on dip-coherence weighting

    • 摘要: 断层、地层尖灭和缝洞等小尺度非连续体在地震记录中主要表现为弱绕射响应,是精细储层描述和断裂识别的重要依据。由于绕射波能量远弱于镜面反射,常规偏移剖面中相关信息易被连续反射、偏移画弧和随机噪声掩盖。为提高复杂构造区弱绕射能量的成像质量,本文提出一种基于倾角约束高斯束绕射波成像方法。首先,利用高斯束传播参数快速且准确地计算地下成像点处的射线传播矢量,并结合局部构造法向量构建反稳相滤波权重,完成反射能量的初步削弱;在此基础上,利用绕射波在倾角域存在的全方位分布特征,按照成像矢量相对于构造法向量的方位关系,将反稳相绕射成像结果划分为两个方向分量;最后,构建倾角交叉约束的成像条件,该策略能够有效压制仅在特定方向存在的残余反射与相干噪声,从而增强两侧同位响应、压制单侧残余反射和画弧干扰。通过理论模型与实际地震数据进行绕射波成像对比测试,有效验证了本文方法的正确性和有效性。

       

      Abstract: Weak seismic diffractions generated by small-scale discontinuities—such as faults, stratigraphic pinch-outs, and fractured-vuggy systems—contain critical information for high-resolution reservoir characterization and fault identification. However, extracting these weak signals remains challenging because they are routinely overwhelmed by strong specular reflections, migration smiles, and random noise in conventional migrated sections. To enhance the imaging quality of weak diffractions in complex tectonic regions, we propose a dip–coherence constrained Gaussian beam diffraction migration approach. First, ray propagation vectors at image points are rapidly and accurately evaluated from Gaussian beam propagation parameters. These vectors are then combined with local structural normals to construct anti-stationary phase filter weights, which achieve the initial attenuation of reflection energy. Using the omnidirectional distribution of diffractions in the dip domain, we further decompose the filtered diffraction image into two directional components based on the azimuthal relationship between the imaging vector and the structural normal. A novel imaging condition weighted by dip-coherence is subsequently constructed. This strategy effectively identifies and suppresses residual reflections and coherent noise present only in specific directions, thereby enhancing dual-sided symmetric responses while suppressing unilateral residual reflections and migration smiles. Comparative diffraction imaging tests on synthetic models and field seismic data effectively confirm the correctness and validity of the proposed method.

       

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