Abstract：Affected by noise and propagating distance, the effective signals of Carboniferous seismic reflection are almost at low frequency. How to improve and protect lost low-frequency information is the key to improve the quality of carboniferous seismic data. This paper proposes a new method. To protect low-frequency information, the pre-stack matching technology based on a cross-domain FKK filtering is used to suppress noises in multiple domains. Compared with the conventional method, this multi-domain denoising method can effectively distinguish the low-frequency component of primary waves from low-frequency noises. While improving the signal-to-noise ratio of seismic data, effective low-frequency reflection information can be protected to the greatest extent. To enhance the processing of low-frequency component, based on the characteristics that the signal-to-noise ratio of the high-frequency component of deep seismic data is lower than that of the low-frequency component, a low-frequency energy enhancing factor is designed to compensate low-frequency seismic data. In particular, Carbonaceous energy clusters are more focused, and a fine velocity field can be established, thereby improving the accuracy of migration imaging. The new method has been applied to several seismic blocks in the Junggar Basin and obtained good effects. It can provide powerful technical support for the exploration of Carboniferous oil and gas.
妥军军, 王晓涛, 窦强峰, 叶迪, 蒋立, 谭佳. 准噶尔盆地石炭系低频信号处理技术[J]. 石油地球物理勘探, 2020, 55(s1): 20-24.
TUO Junjun, WANG Xiaotao, DOU Qiangfeng, YE Di, JIANG Li, TAN Jia. Research and application of the processing method for Carboniferous low-frequency signals, Junggar Basin. Oil Geophysical Prospecting, 2020, 55(s1): 20-24.
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