Application of 3D AVO interpretation technique to lithological reservoir in the Hongze Area

详细信息    查看全文

• 作者：Zhan’an Xie (1) (2)
  
• 关键词：S ; wave ; Poisson’s ratio ; gradient ; modeling ; attribute calibration
• 刊名：Applied Geophysics
• 出版年：2005
• 出版时间：September 2005
• 年：2005
• 卷：2
• 期：3
• 页码：168-174
• 全文大小：2666KB
• 参考文献：1. Castagna, J. P., Batzle, M.L., and Kan, T.K., 1993, Rock physics-The link between properties and AVO response, in Offset-Dependent Reflectivity-Theory and Practice of AVO Analysis, J.P. Castagna and M. Backus, eds. Investigations in Geophysics, No. 8, Society of Exploration Geophysicists, Tulsa, Oklahoma, 135-71.
  2. Hu Zhongping, 1995, Oil/Gas abnormality detection with AVO characteristic of P-SV Wave: Oil Geophysical Prospecting, 30(5), 653-8.
  3. Lee Sheng yong,1998,3-D AVO processing and application: The Leading Edge, 17(5), 693-96.
  4. Lee, S.-S., Wu, S.S.C., Hsu, C.-H., Lin, J.-Y., Yang, Y- L., Huang, C.-H., and Jeng, L.-D., 1998, 3-D AVO processing and application. The Leading Edge, 17(5), 693-96. CrossRef
  5. Li Qingzhong, 1994, Towards the sophisticated exploration road: China Petroleum Industry Press.
  6. Shuey, R.T., 1985, A simplification of the Zoeppritz equations, Geophys., 50, 609-14. CrossRef
  7. Sun Jiazhen, Li Lanbin. 2002, Seismic geology integrated interpretation tutorial: China University of Geosciences Press (Wuhan), 32-4.
  8. Zhang Yiwei et al., 1992, The application of geostatistics in reservoir description: China Petroleum Industry Press, 41-6.
  9. Zou Caineng et al., 2002, New seismic technology in practice in oil/gas exploration & development: China Petroleum Industry Press.
  
• 作者单位：Zhan’an Xie (1) (2)
  
  1. Institute of Geology & Gophysics, CAS, l00029, Beijing, China
  2. Jidong Oilfield Company of China Petroleum, 063004, Tangshan, Hebei, China
  
• ISSN：1993-0658

文摘

In the Hongze Area, the reservoirs vary rapidly laterally and are controlled by many factors, such as structure, lithology, oil source, and so on. S-wave well log curves are calculated from an equation derived from multiple-attribute regression analysis of RT, DT, GR, and DEN logs. Representative P- and S-wave velocities and Poisson’s ratio are statistically computed for oil and water bearing reservoir rock, shale, and calcareous shale in each well. The averaged values are used for AVO forward modeling. Comparing the modeling results with actual seismic data limit the possible AVO interpretations. Well and seismic data are used to calibrate inverted P-wave, S-wave, Poisson’s ratio, and AVO gradient attribute data sets. AVO gradient data is used for lithofacies interpretation, P- wave data is used for acoustic impedance inversion, S-wave data is used for elastic impedance, and Poisson’s ratio data is used for detecting oil and gas. The reservoir and hydrocarbon detections are carried out sequentially. We demonstrate that the AVO attributes method can efficiently predict reservoir and hydrocarbon potential.