Reflectivity inversion for attenuated seismic data: Physical modeling and field data experiments
Reflectivity inversion for attenuated seismic data: Physical modeling and field data experiments
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DOI：
10.1190/geo2015-0250.1
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发表时间：
2016
期刊：
影响因子：
3.3
通讯作者：
Xintao Chai;Shangxu Wang;Jianxin Wei;Jingnan Li;H. Yin
中科院分区：
文献类型：
--
作者：
Xintao Chai;Shangxu Wang;Jianxin Wei;Jingnan Li;H. Yin
摘要：我们开发了一种非平稳稀疏反射率反演（NSRI）方法，该方法可以直接从非平稳地震数据中反演反射率序列，而没有与逆 Q 滤波方法相关的固有不稳定性。我们研究了存在输入误差（例如小波的相移和峰值频率）时 NSRI 的性能，这确定了 NSRI 结果在中等误差的情况下是合理的。然后将 NSRI 应用于从由高衰减介质制成的实验室物理模型收集的数据，该模型的真实反射率已知，但波传播和 Q 滤波机制未知。因此，对物理模型数据的分析代表了评估 NSRI 有效性和准确性的盲测。物理模型的指定空间比例为 1:5000（相对于现场比例），速度比例约为 1:1。由于 NSRI 需要 Q 输入，因此测量了 P 波的衰减...
ABSTRACTWe have developed a method of nonstationary sparse reflectivity inversion (NSRI) that directly retrieves the reflectivity series from nonstationary seismic data without the intrinsic instability associated with inverse Q filtering methods. We have investigated the NSRI performance in the presence of input error (e.g., the phase shift and the peak frequency of the wavelet), which determined that NSRI results are reasonable in the case of moderate error. NSRI was then applied to data collected from a laboratory physical model made of highly attenuating media, for which true reflectivities were known, but the wave propagation and the Q filtering mechanism were not. Analysis of data from the physical model, therefore, represented a blind test for evaluating the effectiveness and accuracy of NSRI. The physical model had a specified spatial scale of 1:5000 (relative to the field scale) and an approximate 1:1 velocity scale. Because the Q input is required by NSRI, attenuation of the P-wave was measured ...