Mechanical Engineering

Kang-Xing Dong1, Su-Ling Wang This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Min-Zheng Jiang1

1College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, P.R. China

 

Received: November 27, 2017
Accepted: September 11, 2018
Publication Date: March 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201903_22(1).0004  

ABSTRACT

Single plane perforation technology is a new perforation technology to improve results in the fracture area around a wellbore. By establishing an in-situ stress mechanical model of the perforated formation, the effect of single plane perforation and helical perforation on hydraulic fractures was studied using numerical analysis methods. The results showed that a fracture was initiated in the perforation plane first and then formed a fan-shaped fracture surface when using single plane perforation. Regardless of the damage of perforation on the rock mass, the initiation pressure of the single plane perforation was higher than that of the helical perforation under a normal fault regime and lower under a reverse fault regime. The initiation pressure decreased with an increase in perforation depth and perforation diameter. This technology is important for reducing the fracture initiation pressure and increasing the stimulated reservoir volume.


Keywords: Single Plane Perforation, Helical Perforation, Perforation Parameters, Cracks Form, Initiation Pressure


REFERENCES

  1. [1] Wang, L., L. Zhang, and J. J. Li (2013) The research of perforation parameter and fracture stress of horizontal wells, Journal of Chongqing University of Science and Technology 15(5), 5760. doi: 10.3969/j.issn.1673-1980.2013.05.016
  2. [2] Sui, L. L., Y. Yang, Y. Ju, et al. (2014) Fractal description of rock fracture behavior, Mechanics in Engineering 36(6), 753756. doi: 10.6052/1000-0879-14-025
  3. [3] Zhang, T., Y. B. Wang, G. J. Hu, et al. (2010) Effect of Perforation Parameterson HydraulicFracturing, Drilling & Production Technical 33(2), 4448. doi: 10.3969/j.issn.1006-768X.2010.02.014
  4. [4] Hossian, M. M., M. K. Rahman, S. S. Rahman, et al. (2000) Hydraulic fracturing initiation and propagation: Roles of wellbore trajectory, perforation and stress regimes, Journal of Petroleum Science and Engineering 27(32), 129149. doi: 10.1016/S0920-4105(00)00056-5
  5. [5] Biao, F., H. Liu, J. Zhang, et al. (2011) A numerical study of fracture initiation pressure under helical perforation conditions, Journal of University of Science and Technology of China 41(3), 219226. doi: 10.3969/j.issn.0253-2778.2011.03.006
  6. [6] Behrmann, L. A., and J. L. Elbel (1991) Effect of perforation on fracture initiations, Journal of Petroleum Technology 43(5), 608615. doi: 10.2118/20661-PA
  7. [7] Yao, T. Y., M. Wang, W. Zhu, et al. (2011) Analysis of two-phase percolation of fractured horizontal wells in low-permeability oil reservoirs, Mechanics in Engineering 32(1), 66696. doi: 1000-0992-lxysj2010069
  8. [8] Liu, H., Z. X. Lan, S. L. Wang, J. G. Xu, et al. (2015) Hydraulic fracture initiation mechanism in the definite plane perforating technology of horizontal well, Petroleum Exploration and Development 42(6), 794800. doi: 10.11698/PED.2015.06.13
  9. [9] Zhang, G. M., H. Liu, J. Zhang, et al. (2011) Three-dimensional finite element numerical simulation of horizontal well hydraulic fracturing, Engineering Mechanics 28(2), 1011106. doi: 10.1016/j.petrol.2010.03.032
  10. [10] Shan, Q. L., Y. Jin, L. Han, et al. (2017) Influence of spiral perforation parameters on fracture geometry near horizontal, Petroleum Science Bulletin 2(1), 44 52. doi: 10.3969/j.issn.2096-1693.2017.01.005
  11. [11] Chen, J. B., B. Wei, and H. Q. Wang (2017) Influence of directional perforation parameters on fracture propagation, Fault-Block Oil and Gas Field 24(3), 391 395. doi: 10.6056/dkyqt201703021
  12. [12] Liu, H., F. Wang, Y. Wang, et al. (2014) Oil well perforation technology: Status and prospects, Petroleum Exploration and Development 41(6), 731737. doi: 10.11698/PED.2014.06.13
  13. [13] Gao, Y., H. Liu, L. Wang, et al. (2015) The application of face direction perforation in unconventional reservoirs, SPE Asia Pacific Oil & Gas Conference and Exhibition, Nusa Dua, Bali Indonesia, Oct. 2022. doi:10.2118/176404-ms
  14. [14] Megorden, M. P., J. Hui, P. J. D. Bentley, et al. (2013) Improving hydraulic fracture geometry by directional drilling in coal seam gas formation, SPE Unconventional Resources Conference and Exhibition, Brisbane, Australia, Nov. 1113. doi: 10.2118/167053-ms

 

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