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Data-driven diffraction imaging of fractures using passive seismic data

机译:使用被动地震数据的数据驱动的裂缝衍射成像

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We present a workflow of seismic imaging for passive seismic data. Unlike conventional diffraction imaging that often adopts reflection-type seismic imaging with known source, our approach relies on the data without the need for passive source information. We use two types of information from passive data: transmitted waves and scattering (coda) waves. The imaging formula states that direct waves should coincide with coda waves at scatterer points at the time of scattering. Instead of generating source wavefields in the conventional imaging method, we back propagate transmitted and scattered data from known surface or borehole receiver arrays. Then we apply zero-lag crosscorrelation imaging condition to produce an image. We can apply this processing for both P- and S-waves. In our numerical examples, we evaluate surface and borehole acquisition scenarios. We found that our approach performed well compared with conventional seismic imaging when assuming exact source information is known. When we perturbed source location, fractures were missing in the conventional seismic imaging map but our approach was not influenced.
机译:我们为被动地震数据提供了地震成像的工作流程。与经常采用具有已知源的反射型地震成像的传统衍射成像不同,我们的方法依赖于数据而不需要被动源信息。我们使用来自无源数据的两种类型的信息:传输的波和散射(Coda)波。成像公式表示,直接波应该在散射时与散射点处的Coda波一致。不是以传统的成像方法在传统的成像方法中产生源波场,而我们回到来自已知表面或钻孔接收器阵列的传输和散射数据传播。然后我们应用零滞后互相关成像条件以产生图像。我们可以为P-和S波应用此处理。在我们的数值例子中,我们评估表面和钻孔采集方案。我们发现,当假设已知确切的源信息时,我们的方法与传统地震成像相比良好。当我们扰动源地点时,传统地震成像地图中缺少裂缝,但我们的方法不会受到影响。

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