Abstract
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.
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