1887

Abstract

Summary

Brittleness index is one of the critical rock mechanical properties in unconventional reservoirs. However, it has been so far difficult to be predicted. In this paper, According to the transformation of static and dynamic rock mechanics parameters, an empirical relation between static and dynamic brittleness indices is proposed via well logs. The selected study area is tight oil reservoirs in Lucaogou Formation, Permian, Jimusaer Sag, Junggar Basin, China. Firstly, static Young’s modulus, static Poisson’s ratio and petrophysical parameters of 19 core samples were measured. Secondly, in combination of the measured and calculated results, the empirical relation between static and dynamic brittleness indices is built based on the influence of porosity and clay content. The contrast of the predicted brittleness indices and measured results shows that the model has high accuracy. Finally, the above improved models are applied to formation evaluation via well logs, which indicates a better application effect. The brittleness index prediction method of tight oil reservoirs is improved in this research. It is importance in the optimization of fracturing layer and fracturing construction scheme and the improvement of oil recovery.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800811
2018-06-11
2024-04-26
Loading full text...

Full text loading...

References

  1. Cao, Z., Liu, G., Kong, Y., Wang, C., Niu, Z., and Zhang, J., et al.
    [2016]. Lacustrine tight oil accumulation characteristics: permian lucaogou formation in jimusaer sag, junggar basin. Internationaljournal of Coal Geology, 153, 37–51.
    [Google Scholar]
  2. Chu, Z. H.
    [1987]. Acoustic logging principle. Beijing: Petroleum Industry Press.
    [Google Scholar]
  3. Guo, Z., Chapman, M., and Li, X.
    [2012]. A shale rock physics model and its application in the prediction of brittleness index, mineralogy, and porosity of the Barnett Shale. SEG Technical Program Expanded, 1, 1–5.
    [Google Scholar]
  4. Jarvie, D. M., Hill, R. J., Ruble, T. E., and Pollastro, R. M.
    [2007]. Unconventional shale-gas systems: the mississippian barnett shale of north-central texas as one model for thermogenic shale-gas assessment. Aapg Bulletin, 91(4) 475–499.
    [Google Scholar]
  5. Lai, J., Wang, G., Fan, Z., Chen, J., Wang, S., and Zhou, Z.
    [2016]. Research progress in brittleness index evaluation methods with logging data in unconventional oil and gas reservoirs. Petroleum Science Bulletin, 03, 330–341.
    [Google Scholar]
  6. Rickman, R., Mullen, M. J., Petre, J. E., Grieser, W. V., and Kundert, D.
    [2008]. A Practical Use of Shale Petrophysics for Stimulation Design Optimization: All Shale Plays Are Not Clones of the Barnett Shale. SPE Technical Conference and Exhibition.
    [Google Scholar]
  7. Zisman, W. A.
    [1933]. Comparison of the statically and seismologically determined elastic constants of rocks. Proceedings of the National Academy of Sciences of the United States of America, 19(7) 680–686.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800811
Loading
/content/papers/10.3997/2214-4609.201800811
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error