SU Yun, YOU Hong-Wen, LI Ling-Xi, MENG Fan-Bing, LI Min-Jie, TANG Juan, XIE Jin-Li. Technology for suppressing "black triangle" high-energy noise in vibroseis seismic data acquisition in a desert areaJ. ​Geophysical and Geochemical Exploration, 2022, 46(2): 410-417. DOI: 10.11720/wtyht.2022.2419
    Citation: SU Yun, YOU Hong-Wen, LI Ling-Xi, MENG Fan-Bing, LI Min-Jie, TANG Juan, XIE Jin-Li. Technology for suppressing "black triangle" high-energy noise in vibroseis seismic data acquisition in a desert areaJ. ​Geophysical and Geochemical Exploration, 2022, 46(2): 410-417. DOI: 10.11720/wtyht.2022.2419

    Technology for suppressing "black triangle" high-energy noise in vibroseis seismic data acquisition in a desert area

    • The special topographic and geomorphic conditions in the desert exploration area of the Guaizihu sag in the Yin'e Basin produce adverse effects on the excitation and reception of seismic data.The surface of the area is covered by hugely thick loose sand,with the thickness of the sand dunes varying in the range of 50~100 m.In the process of vibroseis data acquisition in this area,"black triangle" noise is formed in the near-trace scope due to the dual effects of the mechanical characteristics of the vibroseis and the near-surface structure,resulting in a low signal-to-noise ratio of seismic records.Since the "black triangle" noise features high energy,wide frequency range,wide distribution,and great morphological difference,it is difficult to make accurate statistics of its amplitude (intensity) in a single arrangement of the common shot domain and the common receiver domain,thus resulting in too much residual noise after the suppression of the "black triangle" noise.Given this,this paper proposes a method,in which data rearrangement is firstly conducted based on the shot-offset domain and then denoising is performed.As verified by the application of actual vibroseis data of the Guaizihu area in the Yin'e Basin,this method can effectively protect the near-trace reflection signals(especially the deep weak reflection information) while effectively suppressing the "black triangle" noise and it is effective in improving the signal-to-noise ratio of seismic data.
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