Application of zero-offset VSP data transformation to bridge calibration in high-dip structure areas

被引：0
|
作者：
Cai Z. [1 ,2 ]
Wang C. [2 ]
Chen C. [2 ]
Wang Y. [2 ]
Jiang Z. [3 ]
Tian W. [2 ]
机构：
[1] School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing
[2] New Technique Prospecting Department, BGP Inc., CNPC, Zhuozhou, 072750, Hebei
[3] GRI, BGP Inc., CNPC, Zhuozhou, 072750, Hebei
来源：
Cai, Zhidong (caizhidong@cnpc.com.cn) | 2018年 / Science Press卷 / 53期
关键词：
Bridge calibration; Corridor stack; Data transformation; High-dip structure; Vertical seismic profile (VSP);
D O I：
10.13810/j.cnki.issn.1000-7210.2018.05.012
中图分类号：
学科分类号：
摘要：
The bridge calibration of vertical seismic profile (VSP) is one of the key approaches to bridging surface seismic, logging, and lithology data. However for high-dip structure areas, this bridge calibration cannot achieve horizon analysis because the up-going wave field is not flatted. Therefore we propose in this paper a new approach of bridge calibration for zero-offset VSP data. For the zero-offset VSP data transformation, up-going waves after NMO are classified and listed as sub-matrix. Then horizons are calibrated on this data. This approach calibrates horizons directly on the transformed data rather than on VSP corridor stacked data. So calibrated results are more intuitional, more reliable, and better for seismic and geology analysis. An application example in Tarim Basin demonstrates the effectiveness of the proposed approach. © 2018, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
引用
收藏
页码：990 / 996
页数：6
相关论文
共 21 条
  • [1] Zhao H., Qi C., Chen Y., Et al., Seismic horizon calibration based on VSP data, OGP, 51, pp. 84-92, (2016)
  • [2] Cai Z., Zhang Q., Liu C., Zero-offset VSP imaging method for complex structures, GPP, 54, 3, pp. 309-316, (2015)
  • [3] Meng E., Mu F., Zhao Y., Et al., Dip-moveout-correction (DMO) for VSP corridor stack, OGP, 40, 6, pp. 700-702, (2005)
  • [4] Lu W., Mu Y., Seismic event automatic tracking using self-organizing neural network, GPP, 37, 1, pp. 77-83, (1998)
  • [5] Zheng G., Zeng T., The technology of seismic horizon automatic tracking, Computing Techniques for Geophysical and Geochemical Exploration, 35, 6, pp. 711-715, (2013)
  • [6] Li P., Feng X., Wang D., Et al., Auto tracking the syncphase axis of seismic profiles, Journal of Jilin University, 38, pp. 78-80, (2008)
  • [7] Cui R., Cao G., Wang Y., Et al., Issues affecting calibration of VSP horizons and countermeasures, OGP, 41, pp. 96-99, (2006)
  • [8] Liu Z., Using VSP data for calibration of horizons, Xinjiang Petroleum Geology, 23, 3, pp. 252-253, (2002)
  • [9] Jiang B., Shen Z., Zhang P., Et al., VSP time-depth calibration in tilted stratum, OGP, 47, 4, pp. 598-604, (2012)
  • [10] Fu L., Xiao Y., Sun W., Et al., Seismic imaging studies of complex high and steep structures in Kuqa depression, Chinese Journal of Geophysics, 56, 6, pp. 1985-2001, (2013)
123