Undulating sea surface influence on reflection seismic responses

被引:0
作者
Meng X. [1 ]
Sun J. [1 ]
Wei P. [1 ]
Xu Z. [1 ]
机构
[1] College of GeoExploration Sciences and Technology, Jilin University, Changchun, 130026, Jilin
来源
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2019年 / 54卷 / 04期
关键词
Ghost point extrapolation; Undulating sea surface; Unequal distance difference; Wave spectrum;
D O I
10.13810/j.cnki.issn.1000-7210.2019.04.009
中图分类号
学科分类号
摘要
In order to truly simulate undulating sea surface influence on reflection seismic responses, a moderate calm sea surface undulation model (2m wave height) is built with the wave spectrum calculation model proposed by Wen Shengchang et al. Considering both accuracy and computational efficiency, we use the unequal distance difference scheme based on the ghost point extrapolation. Through the numerical simulation of simple layered model and Marmousi model, the following conclusions are obtained: ①The ghost wave and the primary reflection interferes irregularly under the influence of the undulating sea surface, resulting in different reflection seismic responses; ②The phenomenon of "jitter" of seismic reflection from the undulating sea surface occurs at all times, and is related to the undulating shape of the sea surface; ③Due to uneven illuminations of secondary reflection and irregular interferences of primary reflection, an uneven spatial distribution of seismic reflection energy affects greatly travel time, waveform, amplitude, spectrum, phase and bandwidth of direct and reflected waves, and causes a series of practical problems, such as poor ghost suppression, low signal-to-noise ratio, low resolution and local inversion non-convergence. © 2019, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
引用
收藏
页码:787 / 795
页数:8
相关论文
共 18 条
  • [1] Cecconello E., Asgedom E.G., Orji O.C., Et al., Modeling scattering effects from time-varying sea surface based on acoustic reciprocity, Geophysics, 83, 2, pp. T49-T68, (2017)
  • [2] Kragh E., Laws R., Rough seas and statistical deconvolution, Geophysical Prospecting, 54, 4, pp. 475-485, (2006)
  • [3] Laws R., Kragh E., Rough sea wavelet and time-lapse seismic, Geophysical Prospecting, 50, 2, pp. 195-208, (2002)
  • [4] Sun J., Methods for numerical modeling of geophysical fields under complex topographical conditions: a critical review, Global Geology, 26, 3, pp. 345-362, (2007)
  • [5] Robertsson J.O.A., Laws R., Chapman C., Et al., Modelling of scattering of seismic waves from a corrugated rough sea surface: a comparison of three methods, Geophysical Journal International, 167, 1, pp. 70-76, (2006)
  • [6] Egorov A., Glubokovskikh S., Bona A., Et al., Influence of rough sea surface on sea surface reflections: deep towed high-resolution marine seismic case study, SEG Technical Program Expanded Abstracts, 34, (2015)
  • [7] Zhang D., Schuster G.T., Zhan G., Multi-source least-squares reverse time migration with topography, SEG Technical Program Expanded Abstracts, 32, (2013)
  • [8] Zhou J., Piao S., Huang Y., Et al., Effect of wave fluctuation on the spatial characteristics of noise field, Journal of Harbin Engineering University, 38, 7, pp. 1056-1064, (2017)
  • [9] Zhang W., Han L., Li H., Deghosting method based on a variable sea surface for conventional streamer seismic data, Geophysical Prospecting for Petroleum, 56, 4, pp. 500-506, (2017)
  • [10] Wu Z., New advances in marine broadband seismic exploration, Oil Geophysical Prospecting, 49, 3, pp. 421-430, (2014)