Skip to main content

Advertisement

Log in

Fracture Network Simulation and Mechanical Characteristics Analysis of Glutenite

  • INNOVATIVE TECHNOLOGIES OF OIL AND GAS
  • Published:
Chemistry and Technology of Fuels and Oils Aims and scope

Hydraulic fracturing technology has become an effective technical method of developing tight oil reservoirs, such as an oilfield in Mahu, China. However, numerical simulation of the actual fracture seam network remains problematic. In this paper, we have simulated hydraulic fractures in the Urho Group of the Mahu target layer and analyzed the characterization of the rock mechanics parameters. The results show that Young’s modulus of the Wuerhe domain ranges between 18 and 58.5 GPa, with an average of 32.4 Gpa, the Poisson’s ratio is between 0.21 and 0.38, with an average of 0.31, the brittleness index is between 21.0 and 89.0, with an average of 44.3, and the hydraulic fracturing can form a multi-branch crack modification. The designed direction of horizontal wells in the area is north-south, and the horizontal stress difference is between 4.2 and 9.8 MPa, which facilitates easy fracturing of the reservoir and reforming of a complex seam network. Simulation of the artificial seam network helps to optimize the reasonable parameters of fracturing and the development parameters of horizontal wells in the Mahu 1 well area.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.

Similar content being viewed by others

References

  1. Y. Zhang, Y. Yan, and L. Li, “Status and prospect of horizontal well fracturing technology,” Chem. Design Commun., 46(06), 278-279 (2020).

    Google Scholar 

  2. M. Xue, Y. Cheng, C. Yan, Y. Li, Q. Li, and S. Han, “Optimization of multistage hydraulic fracturing methods for horizontal wells in shale gas reservoirs,” Daqing Pet. Geol. Dev., 4, 1-8 (2020).

    Google Scholar 

  3. X. He, J. Ma, G. Liu, S. Shi, J. You, and J. Wu, “Rock mechanics analysis and fracture network evaluation of conglomerate reservoir in Mahu oilfield,” Xinjiang Pet. Geol., 40(06), 701-707 (2019).

    Google Scholar 

  4. R. Xue, J. Guo, Z. Zhao, G. Zhou, and X. Meng, “Numerical simulation of horizontal well fracture propagation in shale reservoir in Jiyang depression,” J. Southwest Pet. Univ. (Nat. Sci. Ed.), 41(02), 84-96 (2019).

    Google Scholar 

  5. L. Ren, R. Lin, J. Zhao, and L. Wu, “Optimal design of fracturing cluster spacing for shale gas horizontal wells based on optimal SRV,” Nat. Gas Ind., 37(04), 69-79 (2017).

    Google Scholar 

  6. X. Wang, L. Liang, L. Zhao, X. Liu, Z. Qin, and W. Li, “Rock mechanical properties and fracturing evaluation of oilbearing shale of Lucaogou formation in Jimusaer sag, Junggar basin,” Pet. Nat. Gas Geol., 40(03), 661-668 (2019).

    Google Scholar 

  7. X. Xu, Y. Zhai, M. Liu, P. Zhou, Z. Wang, et al., “Rock brittleness analysis and application research of complex reservoir,” LOG Technol., 39(04), 486-490 (2015).

    Google Scholar 

  8. P. Tang, “Experimental study on the brittleness of glutenite reservoir in Songbei tight gas reservoir,” Pet. Geol. Recov. Fact., 26(06), 46-52 (2019).

    Google Scholar 

  9. J. Fu, H. Li, Z. Sun, G. Wang, and X. Luo, “In-situ stress directional logging identification and main controlling factors of glutenite reservoir in Mabei area,” Pet. Nat. Gas Geol., 36(04), 605-611 (2015).

    Google Scholar 

  10. K. Xu, J. Tian, H. Yang, H. Zhang, Z. Wang, F. Yuan, et al., “Prediction and application of current in-situ stress field in deep tight sandstone reservoir: a case study of Keshen 10 gas reservoir in Kelasu structural belt, Tarim Basin,” J. Chin. Univ. Min. Technol., 49(04), 708-720 (2020).

    Google Scholar 

  11. Z. Tang, Q. Li, and H. Yin, “Calculation of maximum horizontal in-situ stress by using wellbore failure information of inclined shaft,” Fault Block Oil Gas Field, 24(05), 709-713 (2017).

    Google Scholar 

  12. Z. Wang, B. Lin, H. Yu, S. Shi, and X. Kou, “In-situ stress characteristics of sand conglomerate reservoir in Badaowan formation of block 7 of Karamay oilfield,” Pet. Geol. Xinjiang, 41(03), 314-320 (2020).

    CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by “Tight oil development demonstration project in Junggar Basin,” the Major National Science and Technology project (Grant No. 2017ZX05070), Xinjiang Conglomerate Reservoir Laboratory Open Project (Grant No. 2019D04008), CNPC China University of Petroleum (Beijing) strategic cooperation project (Grant No. ZLZX2020-01), and Science and Technology Major Project of CNPC (No. 2017E-0405).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qingping Jiang.

Additional information

Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 4, pp. 77–81, July–August, 2021.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huo, J., Kong, C., Jiang, Q. et al. Fracture Network Simulation and Mechanical Characteristics Analysis of Glutenite. Chem Technol Fuels Oils 57, 665–671 (2021). https://doi.org/10.1007/s10553-021-01291-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10553-021-01291-2

Keywords

Navigation