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  4. Vol 7, Issue 7, 2023

Study on Sensitivity of Plunger Characteristic Parameters to Gas Well Production

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DOI: 10.23977/acss.2023.070702 | Downloads: 12 | Views: 394

Author(s)

Junping Wu 1, Yi Wang 1, Wanli Xiong 1, Zhichao Hu 1, Bilian Li 1

Affiliation(s)

1 School of Computer Science and Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan, 643000, China

Corresponding Author

Yi Wang

ABSTRACT

Plunger dewatering gas extraction is a technology primarily used for low-yield natural gas collection. To maximize the efficiency of plunger dewatering gas extraction, optimization design is necessary. This study is based on the principles of plunger lifting dewatering gas extraction. By calculating the distribution of fluid and pressure in the wellbore during the plunger's upward movement at startup, as it reaches the wellhead, and during well shut-in, the interconversion relationship between plunger upward liquid discharge, self-jet flow, and well shut-in pressure recovery processes is analyzed. An optimization algorithm for plunger design is developed. When calculating the impact of plunger characteristic parameters on gas well production, the study considers the effect of gas compressibility factor varying with temperature and pressure, which makes the research results more realistic. The findings of this study contribute to optimizing the process parameters of plunger dewatering gas extraction and enhancing gas well production.

KEYWORDS

Plunger drainage gas recovery, optimization algorithm, sensitivity

CITE THIS PAPER

Junping Wu, Yi Wang, Wanli Xiong, Zhichao Hu, Bilian Li, Study on Sensitivity of Plunger Characteristic Parameters to Gas Well Production. Advances in Computer, Signals and Systems (2023) Vol. 7: 8-16. DOI: http://dx.doi.org/10.23977/acss.2023.070702.

REFERENCES

[1] Su, Y., Zhao, L., Zhang, X., & Liu, Y. (2018). Study on optimization of plunger gas-lift technology. Journal of Petroleum Science and Engineering, 170, 465-474.
[2] Xie, Y., Guo, Y., Chen, S., & Zhang, J. (2020). Optimization design of plunger gas lift cycle based on genetic algorithm. Journal of Petroleum Science and Engineering, 193, 107399.
[3] Li, J., Wang, L., Zhang, Y., & Wei, Y. (2021). Multi-objective optimization of plunger gas lift based on particle swarm optimization algorithm. Journal of Natural Gas Science and Engineering, 89, 104755.
[4] Zhang, Z., Zhang, L., & Wu, J. (2019). Optimization design of plunger gas lift in oil well based on wellbore transformation conditions. Journal of Natural Gas Science and Engineering, 72, 103003.

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