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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Extracting Reflected Waves From Acoustic Logging Data Based on the Shearlet Transform
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Extracting Reflected Waves From Acoustic Logging Data Based on the Shearlet Transform

机译：基于Shearlet变换的声波测井数据提取反射波

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摘要

Acoustic reflection imaging in well logging is an important technology for surveying near-borehole geological structures, especially for exploration in heterogeneous reservoirs. The key component of this method is the extraction of reflected waves from full waveforms. Due to the high impedance of the borehole wall interface, it is quite difficult to separate reflections from the dominant mode waves. This letter introduces a method for identifying reflected waves based on the shearlet transform. This method, which is characterized by multiscale and multidirectional decomposition capabilities, can be used to identify different components of acoustic logging signals. The effectiveness and accuracy of the proposed method are verified in comparison with other methods with synthetic data. Finally, field data results further validate this method.
机译：测井中的声反射成像是测量近钻孔地质结构，尤其是非均质油藏勘探的一项重要技术。该方法的关键部分是从完整波形中提取反射波。由于井壁界面的高阻抗，很难将反射波与主模波分开。这封信介绍了一种基于剪切波变换的反射波识别方法。这种方法具有多尺度和多方向分解功能，可用于识别声波测井信号的不同成分。与其他具有综合数据的方法相比，该方法的有效性和准确性得到了验证。最后，现场数据结果进一步验证了该方法。

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