Advertisement

Study on Water Drive Curve of Conglomerate Reservoir

  • Hengyu Lyu
  • Yongle Hu
  • Cunyou Zou
  • Yajie Tian
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)

Abstract

Widely applied in the sandstone reservoir, Tong’s chart board can estimate the recoverable reserves, calibrate the oil recovery, and predict the water cut of waterflooded sandstone reservoirs. The characteristics of water drive of conglomerate reservoirs which has the intricate mode pore structure and severe heterogeneity are obviously different from sandstone reservoirs, and the adaptability of Tong’s chart is poor. Based on the actual data of several conglomerate reservoirs in the northwestern margin of the Junggar Basin, through drawing the A-type water drive curve and taking the slope of the straight line of stable waterflooding period data, analyzing the relationship between B value and block geological reserves, and the empirical constant M of 8.65 is obtained, which is more consistent with the water drive curve characteristics of conglomerate reservoirs. The generalized water drive chart (GWDC) of conglomerate reservoirs is established by introducing the water and oil ratio correction coefficient c which is introduced in the formula of Tong’s chart and combining the empirical constant M. Based on the example of the Bai 21 blocks in Baikouquan Oil Field, it is proved that the conglomerate water drive chart proposed in this study can successfully reflect the characteristics of the waterflooding development of the conglomerate reservoir, and has guiding significance for the index prediction of the waterflooding development in the middle-late stage of the conglomerate reservoir.

Keywords

Baikouquan conglomerate reservoir Water–oil ratio correction coefficient Water drive chart empirical constant Water cut Recovery degree 

Notes

Acknowledgements

Write any acknowledgments here (e.g., thanks to individuals, funding organizations).

References

  1. 1.
    Qingchang L, Meng W, Lichun Z (1997) Development of conglomerate oil field. Petroleum Industry Press, Beijing, pp 23–39Google Scholar
  2. 2.
    Futang H (1997) The development models of glutenite reservoirs. Petroleum Industry Press, Beijing, pp 7–21Google Scholar
  3. 3.
    Futang H (1995) Fundamental characteristics of percolation in water drive conglomerate reservoir. Xinjiang Petr Geol 16(1):43–47Google Scholar
  4. 4.
    Shunsheng L, Futang H (1993) Heterogeneity and heterogeneity models of pluvial conglomerate reservoirs. Xinjiang Petr Geol 14(4):350–356Google Scholar
  5. 5.
    Nenggui C, Mozhen G, Xiangchao M (2016) Pore structures and controlling factors of Middle Permian-Lower Triassic Sandy conglomerates in Northwestern Margin of Junggar Basin. Xinjiang Petr Geol 37(4):401–408Google Scholar
  6. 6.
    Xianzhang T (1981) Oil well production and reservoir dynamic analysis. Petroleum Industry Press, Beijing, pp 37–60Google Scholar
  7. 7.
    Xianzhang T (1978) Study on statistical characteristics of natural water flooding and artificial water flooding reservoir. Petr Explor Dev 4(6):38–51Google Scholar
  8. 8.
    Yuanqian C (1985) Deviation of relationships of water drive curves. Acta Petr Sin 6(2):69–78Google Scholar
  9. 9.
    Feng Y (2009) Improvement of Tong’s chart and application in forecasting watercut of reservoir. Fault-Block Oil Gas Field 16(4):109–110Google Scholar
  10. 10.
    Baili W (2006) Improvement of Tong’s chart between water cut and recovery degree and its application. Petr Geol Oilfield Dev Daqing 2(4):62–63Google Scholar
  11. 11.
    Daqing Y, Dongwei L, Wenbo Z et al (2014) Prediction method for the water cut of water flooded sandstone oil reservoirs by corrected Tong’s chart board. Petr Geol Oilfield Dev Daqing 33(2):54–57Google Scholar
  12. 12.
    Ning L, Lei S, Yi P et al (2014) Tong’s “7.5” new calculation method and application. Sci Technol Eng 14(34):155–158Google Scholar
  13. 13.
    Yuanqian C, Erpeng G (2014) Establishment and application of generalized Tong’s chart. Xinjiang Petr Geol 35(2):187–191Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Research Institute of Petroleum Exploration and Development of CNPCBeijingChina

Personalised recommendations