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S-Wave Anisotropy Estimate by Automated Image Registration
S-Wave Anisotropy Estimate by Automated Image Registration
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机译:通过自动图像配准估算S波各向异性
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摘要
The present disclosure provides a system and method for estimating fracture density within a subsurface formation from S-wave seismic data. In one embodiment, the S-wave seismic data is separated into fast (“S1”) and slow (“S2”) data. A computer is used to compute local similarity of the S1 and S2 data and to compute a cumulative time-difference by which the S2 data lags the S1 data from the local similarity. Based on the computed cumulative time-difference, the fracture density of a subsurface formation is estimated.
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机译:本公开提供了一种用于根据S波地震数据来估计地下地层内的裂缝密度的系统和方法。在一个实施例中,将S波地震数据分为快速(“ S 1 Sub>”)和慢速(“ S 2 Sub>”)数据。使用计算机来计算S 1 Sub>和S 2 Sub>数据的局部相似性,并计算S 2 Sub>的累积时差。数据在局部相似性方面落后于S 1 Sub>数据。基于计算出的累积时差,可以估算地下岩层的裂缝密度。
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