Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (6): 1890-1896.doi: 10.13278/j.cnki.jjuese.20200225

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Surface Wave Attenuation Method Using Forward Modeling

Zhang Zhili1, Han Fuxing2, Sun Wenyan1, Wang Yi1, Yang Anqi1, Jiao Yanyan1, Xue Shigui1   

  1. 1. SINOPEC Geophysical Research Institute, Nanjing 211103, China;
    2. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Received:2020-09-20 Online:2021-11-26 Published:2021-11-24
  • Supported by:
    Supported by the National Natural Science Foundation of China (42074150), the National Key R & D Project (2017YFC0601305), the Joint Fund for Enterprise Innovation and Development of National Natural Science Foundation of China (U19B6003-04-01) and the Major National Science and Technology Project (2016ZX05014-001-001)

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Abstract: Rayleigh wave is a P-SV surface wave distributed near the free surface. It has the characteristics of strong amplitude, low frequency and dispersion, and is commonly used in engineering geophysical exploration. However, in oil and gas exploration and deep exploration, it is often a kind of ‘interference’ waves that affects the signal-to-noise ratio of seismic data. Therefore, denoising processing is required. The authors combine engineering geophysical prospecting methods with oil geophysical exploration technologies to obtain a high precision near-surface model by surface wave dispersion curve inversion, and then, carry out the forward modeling of surface wave on the basis of the three-dimensional near-surface shear wave velocity model. The surface wave is subtracted by the method of model matching subtraction. By this method, the influence of surface wave can be minimized, and the shortcomings of the conventional surface wave attenuation methods can be avoided to certain extent, such as damaging the effective wave, losing low-frequency weak information, narrowing the effective frequency band of data, and negatively affecting seismic structure interpretation and inversion. The effectiveness of this method has been verified by practical applications.

Key words: surface wave, dispersion curve, inversion, forward

CLC Number: 

  • P631.4
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