Seismic exploration has increasingly focused on specific geological bodies, such as thin layers, small-scale anomalous bodies, fracture-cavities, and small faults. As the burial depth of these targets increases, the requirements of imaging resolution become higher. Seismic data acquisition is the first step in seismic exploration and consequently determines the accuracy of subsequent processing, imaging and interpretation. The seismic wavelet serves as the basic unit of the acquired pre-stack seismic data. Generating a high-resolution wavelet in the field is essential for subsequent high-resolution processing. In this abstract, we introduce a novel method for defining high-resolution seismic wavelets, termed customized wavelets. The time domain waveform of customized wavelet is determined by three parameters: main lobe width, amplitude ratio of main lobe to side-lobe, and width ratio of main lobe to side-lobe. These key parameters of the customized wavelet can be adjusted to meet varying resolution requirements for different geological bodies. Once the high-resolution customized wavelet is generated, the vibroseis sweep signal can be designed accordingly. By using the designed sweep signal as the excitation source for vibroseis vehicle, the high-resolution processing and imaging of the target geological bodies can be achieved. The corresponding experiments verify the correctness and effectiveness of the proposed method.
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SEG/AAPG International Meeting for Applied Geoscience & Energy
August 26–29, 2024
Houston, Texas
A new high-resolution seismic wavelet definition and vibroseis sweep signal design Available to Purchase
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, Houston, Texas, August 2024.
Paper Number:
SEG-2024-4093405
Published:
August 26 2024
Citation
Nie, Zhenbo, Wang, Huazhong, and Shen Sheng. "A new high-resolution seismic wavelet definition and vibroseis sweep signal design." Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, Houston, Texas, August 2024. doi: https://doi.org/10.1190/image2024-4093405.1
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