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Automatic first-arrival picking based on extended super-virtual interferometry with quality control procedure

机译:基于扩展的超虚拟干涉法和质量控制程序的自动初至拣货

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摘要

Static correction is a crucial step of seismic data processing for onshore play, which frequently has a complex near-surface condition. The effectiveness of the static correction depends on an accurate determination of first-arrival traveltimes. However, it is difficult to accurately auto-pick the first arrivals for data with low signal-to-noise ratios (SNR), especially for those measured in the area of the complex near-surface. The technique of the super-virtual interferometry (SVI) has the potential to enhance the SNR of first arrivals. In this paper, we develop the extended SVI with (1) the application of the reverse correlation to improve the capability of SNR enhancement at near-offset, and (2) the usage of the multi-domain method to partially overcome the limitation of current method, given insufficient available source-receiver combinations. Compared to the standard SVI, the SNR enhancement of the extended SVI can be up to 40%. In addition, we propose a quality control procedure, which is based on the statistical characteristics of multichannel recordings of first arrivals. It can auto-correct the mispicks, which might be spurious events generated by the SVI. This procedure is very robust, highly automatic and it can accommodate large data in batches. Finally, we develop one automatic first-arrival picking method to combine the extended SVI and the quality control procedure. Both the synthetic and the field data examples demonstrate that the proposed method is able to accurately auto-pick first arrivals in seismic traces with low SNR. The quality of the stacked seismic sections obtained from this method is much better than those obtained from an auto-picking method, which is commonly employed by the commercial software.
机译:静态校正是陆上地震的地震数据处理的关键步骤,该阶段通常具有复杂的近地表条件。静态校正的有效性取决于对首次到达旅行时间的准确确定。但是,对于具有低信噪比(SNR)的数据,尤其是在复杂近地表区域中测量的数据,很难准确地自动拾取初次到达。超虚拟干涉技术(SVI)的技术具有增强首次到达信噪比的潜力。在本文中,我们开发了扩展的SVI,其中(1)应用反向相关以提高近偏移处的SNR增强能力,以及(2)使用多域方法部分克服电流限制给出了足够的可用信源接收器组合与标准SVI相比,扩展SVI的SNR增强可以达到40%。此外,我们提出了一种质量控制程序,该程序基于首次到达的多通道录音的统计特性。它可以自动更正错误信号,这可能是SVI生成的虚假事件。此过程非常健壮,高度自动化,并且可以批量容纳大数据。最后,我们开发了一种将扩展的SVI和质量控制程序相结合的自动先到拣货方法。综合数据和现场数据实例均表明,该方法能够准确地自动拾取地震信号中低信噪比的首次到达。通过这种方法获得的叠置地震剖面的质量要比通过商业软件通常采用的自动选取方法获得的叠层地震剖面的质量好得多。

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