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Model Investigation on Intelligent Sliding Sleeve Downlink System Based on Pressure Waves

  • Research Article-Petroleum Engineering
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Abstract

Aiming at efficiently and reliably controlling the intelligent sliding sleeve to open and close from the surface, a bypass downlink system is proposed without influencing the current stimulation equipment and process. A mathematics model based on the fluid hammer model and the method of characteristics is established to analyze the characteristics of the downlink system and validated by the experimental and field results. According to simulation results, the pressure change of the wellbore due to valve opening increasing or decreasing is coincident with the exponential expression. The expression contains three coefficients, which are the high pressure, the low pressure, and the system constant. The system constant is relative to the volume of the wellbore and the steady-state pressure. According to the characteristics of the pressure wave in the cased wellbore, digital base-band transmission is adopted for sending the pressure signal. A float matching decode method is proposed based on these characteristics and validated by the simulation results. The simulation results also indicate that the float matching decode method has high transmission efficiency and a low bit error rate. It can adapt to complex conditions of stimulation treatment. The work of this article can improve the efficiency and reliability of controlling the intelligent down-hole sliding sleeves.

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Abbreviations

\(p_{c}\) :

Is the pressure value with time;

\(P_{f}\) :

Is the steady-state pressure value;

\(P_{i}\) :

Is the initial pressure value;

\(\tau _{0}\) :

Is the system constant;

\(P\) :

Is the pressure;

\(P_{0}\) :

Is a known pressure loss;

\(P_{{{\text{in}}}}\) :

Is the pressure upstream of the valve;

\(P_{{{\text{out}}}}\) :

Is the pressure downstream of the valve;

\(Q\) :

Is the displacement;

\(Q_{0}\) :

Is a known displacement;

\(Q_{L}\) :

Is the leakage volume;

\(Q_{v}\) :

Is the volume rate of the valve;

\(d_{h}\) :

Is the hydraulic diameter of the wellbore;

\(f_{{{\text{lan}}}}\) :

Is the Fanning friction factor of laminar;

\(f_{{{\text{turb}}}}\) :

Is the Fanning friction factor of turbulence;

\(t_{c}\) :

Is the time to close the throttle valve;

\(\tau _{w}\) :

Is the average value of the shear stress on the wellbore;

\(\Delta P\) :

Is the pressure difference between wellbore and formation;

\(A\) :

Is the cross-section of the wellbore and pipe;

\(K\) :

Is the leakage coefficient;

\(g\) :

Is the gravity acceleration;

\(m\) :

Is the coefficient factor of the control valve;

\(p\) :

Is the pressure with time;

\(t_{c}\) :

Is the relative time of valve closing or opening;

\(t\) :

Is the time;

\(v\) :

Is the average velocity across the wellbore cross-section;

\(z\) :

Is the axial coordinate of the wellbore and pipe;

\(\rho\) :

Is the fluid density;

\(\tau\) :

Is the opening of the throttle valve

References

  1. Kenison, M.; et al.: An improved method of manipulating and evaluating sliding sleeves. In: SPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition, p. 14 (2012)

  2. Shaw, J.: Benefits and application of a surface controlled sliding sleeve for frac applications. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers: Denver, Colorado, USA, p. 8 (2011)

  3. Bozeman, T.; Degner, D.L.: Cemented Ball-Activated Sliding Sleeves Improve Well Economics and Efficiency. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers: New Orleans, Louisiana. p. 10, (2009)

  4. He, M.; et al.: A New Completion Hardware: Intelligent Casing Sleeve Based on Electromagnetic Wireless Communication. In: SPE Asia Pacific Hydraulic Fracturing Conference. Society of Petroleum Engineers: Beijing, China. p. 14, (2016)

  5. Chauffe, S.; Pence, N.; Harris, M.: Frac Sleeve Designed for Multi-Zone Cemented Laterals. In: SPE Western Regional Meeting. Society of Petroleum Engineers: Garden Grove, California, USA. p. 13, (2015)

  6. Livescu, S.; Craig, S.; Aitken, B.: Fluid-hammer effects on coiled-tubing friction in extended-reach wells. SPE J. 22(01), 365–373 (2017)

    Article  Google Scholar 

  7. Jordan, M.; et al.: Scale Squeeze Placement Options in Subsea Multi-Lateral Horizontal Wells Completed With Sliding Sleeve Technology. In: SPE International Oilfield Scale Conference and Exhibition. Society of Petroleum Engineers: Aberdeen, Scotland, UK. p. 20, (2016)

  8. Castro, L.; et al.: Overcoming Extended-Reach Challenges for Annular Fracturing. In: SPE/ICoTA Coiled Tubing & Well Intervention Conference and Exhibition. Society of Petroleum Engineers: The Woodlands, Texas, USA. p. 18, (2015)

  9. Livescu, S.; Watkins, T.; Najafov, J.: Ten years of continuous technology development and field application of a coiled-tubing tube-wire telemetry system: past, present, and future. SPE Prod. Oper. 34(04), 830–842 (2019)

    Google Scholar 

  10. Zhang, J., et al.: A novel intelligent sliding sleeve for shale oil and gas mining equipment. J. Petrol. Sci. Eng. 158, 1–10 (2017)

    Article  Google Scholar 

  11. Augustine, J.R.; Meijs, R.: Modeling the dynamic pressure response of ball-actuated stimulation sleeves. SPE Prod. Oper. 26(02), 162–172 (2011)

    Google Scholar 

  12. Zheng, L.; et al.: Active Tag Control Sliding Sleeve Fracturing Technology. In: SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers: Jakarta, Indonesia. p. 8, (2017)

  13. Walton, Z.; Fripp, M.: Reliable Detection and Power in an Electronic Sliding Sleeve Multistage Completion System. In: SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers: Dallas, Texas, USA. p. 14, (2018)

  14. Wilson, A.: Radio-frequency-identification technique opens and closes sliding sleeves remotely. J. Petrol. Technol. 64(09), 102–105 (2012)

    Article  Google Scholar 

  15. Zheng, L.; et al.: Controllable sliding sleeve fracturing technology. In: SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers: Adelaide, South Australia, Australia. p. 8 (2014)

  16. Ambrus, A.; et al.: Overcoming Barriers to Adoption of Drilling Automation: Moving Towards Automated Well Manufacturing. In: SPE/IADC Drilling Conference and Exhibition. Society of Petroleum Engineers: London, England, UK. p. 38, (2015)

  17. Hu, Y., et al.: Electromagnetic waves in multilayered generalized anisotropic media. IEEE Trans. Geosci. Remote Sens. 56(10), 5758–5766 (2018)

    Article  Google Scholar 

  18. Hu, Y., et al.: Coiled tubing friction reduction of plug milling in long horizontal well with vibratory tool. J. Petrol. Sci. Eng. 177, 452–465 (2019)

    Article  Google Scholar 

  19. Zhang, W., et al.: Fluid hammer analysis with unsteady flow friction model in coiled tubing drilling. J. Petrol. Sci. Eng. 167, 168–179 (2018)

    Article  Google Scholar 

  20. Oliveira, G.M.D., et al.: Modeling and validation of pressure propagation in drilling fluids pumped into a closed well. J. Petrol. Sci. Eng. 103, 61–71 (2013)

    Article  Google Scholar 

  21. Livescu, S.; Craig, S.: A critical review of the coiled tubing friction-reducing technologies in extended-reach wells. Part 1: Lubricants. J. Pet. Sci. Eng. 157, 747–759 (2017)

    Article  Google Scholar 

  22. Wu, J., et al.: Propagation model with multi-boundary conditions for periodic mud pressure wave in long wellbore. Appl. Math. Model. 39(23–24), 7643–7656 (2015)

    Article  Google Scholar 

  23. Meng, Y., et al.: Investigation on propagation characteristics of the pressure wave in gas flow through pipes and its application in gas drilling. J. Nat. Gas Sci. Eng. 22, 163–171 (2015)

    Article  Google Scholar 

  24. Skalle, P.; Toverud, T.; Johansen, S.T.: Attenuation of pump pressure in long wellbores (v02). J. Petrol. Sci. Eng. 122, 159–165 (2014)

    Article  Google Scholar 

  25. Wylie, E.B.; Streeter, V.L.: Fluid Transients. McGraw-Hill International Book Company, New York (1978)

  26. de Oliveira, G., et al.: Modeling and validation of pressure propagation in drilling fluids pumped into a closed well. J. Pet. Sci. Eng. 103, 61–71 (2013)

    Article  Google Scholar 

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Acknowledgements

Supported by Open Fund (PLC 2020010) of State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Chengdu University of Technology), I would like to express my gratitude to Reviewers, Southwest Oil and Gas Field Company, and those who helped me during the writing of this thesis.

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Authors and Affiliations

  1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, 610059, China

    Xingming Wang

  2. Southwest Oil and Gas Field Company, PetroChina, Chengdu, 610213, China

    Xinghong Huang & Yukun Fu

  3. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, China

    Xingming Wang, Jiayan Zou & Ping Chen

Authors
  1. Xingming Wang
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  2. Xinghong Huang
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  3. Yukun Fu
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  4. Jiayan Zou
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  5. Ping Chen
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Contributions

XW contributed to the conception of the study; XH contributed to the field fracturing data acquisition and analysis; YF contributed to the literature research; JZ performed the model validation; PC helped perform the analysis with constructive discussion.

Corresponding author

Correspondence to Xingming Wang.

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Wang, X., Huang, X., Fu, Y. et al. Model Investigation on Intelligent Sliding Sleeve Downlink System Based on Pressure Waves. Arab J Sci Eng 47, 11171–11185 (2022). https://doi.org/10.1007/s13369-021-05857-4

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  • DOI: https://doi.org/10.1007/s13369-021-05857-4

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