| Qingdao Institute of marine geology, China Geological Survey | Host |
| Citation: |
ZHOU Fan, DENG Lifeng, XU Hongbin. Application of weak signal recovery technique based on vector bin to low signal-to-noise ratio data processing[J]. Marine Geology & Quaternary Geology, 2021, 41(6): 213-220. doi: 10.16562/j.cnki.0256-1492.2021033102
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Application of weak signal recovery technique based on vector bin to low signal-to-noise ratio data processing
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Abstract
Influenced by such factors as surface, source, transmission and receiver conditions, there are always serious interference wavefields in seismic data, which bring extremely adverse effects on the utilization of effective weak reflection signals. The weak signal recovery technology based on vector bin can restore the weak signals submerged by noise, and obtain good noise suppression effect. The technology splits each CMP gather to form a corresponding vector bin set, using the important features that reflected events are horizontal or quasi horizontal in vector bin gather, Hilbert transform is used to transform vector bin gather into complex domain vector bin cosine phase function gathers, and the horizontal events are obtained directly to achieve signal-to-noise separation . The practical application results show that this technique can achieve accurate recovery of effective weak reflection, improve the velocity analysis quality, stacking and migrating imaging effect, and achieve high signal-to-noise ratio data and amplitude preservation.
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References
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ZHOU Fan, DENG Lifeng, XU Hongbin. Application of weak signal recovery technique based on vector bin to low signal-to-noise ratio data processing[J]. Marine Geology & Quaternary Geology, 2021, 41(6): 213-220. doi: 10.16562/j.cnki.0256-1492.2021033102
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Figure 1.
Schematic diagram of vector plane element construction
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Figure 2.
Schematic diagram of vector element trace set and cosine phase function trace set of vector element corresponding to target trace
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Figure 3.
Hilbert transform decomposition schematic diagram
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Figure 4.
Technical-road chart of weak signal recovery technology for vector facets
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Figure 5.
Schematic diagram of wavelet recovery and fidelity denoising indexes
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Figure 6.
Comparison of shot records before and after and their residuals treatment with this technique in a working area
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Figure 7.
The technique is applied in a working area to deal with the pre - and post-CMP trace sets, their residual trace sets and the corresponding velocity spectrum
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Figure 8.
Spectrum of CMP sets and residual CMP sets before and after weak signal recovery
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Figure 9.
Application of the technique to the stacked section of pre - and post-processing and residual data in a working area
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Figure 10.
Stacked section before and after processing with this technique in a working area （local magnification）