Research the Intelligent Injection Wells Monolayer Segment Control Strategy

Abstract:

Testing and commissioning process for intelligent injection process of production engineering monolayer segment flow have strong non-linear, interlayer interference, time-varying, complex model and other characteristics, using the traditional model-based control strategy can not meet the control requirements, puts forward the new dual-core structure variable spacing of the self-adaptive fuzzy control strategy, the rate of change of flow error and flow error as the controller input, through the sub-fuzzy The Controller Online amend the main fuzzy controller input and output dilation factor of the universe, and the universe with the amount of control variable parameters to variable space adjustment, and simplify the design and implementation of a variable universe fuzzy controller. Simulation results show that the proposed control strategy used in intelligent injection wells in the monolayer segment flow control system, allowing the system to obtain better control performance, and shorten the response time and reduce the overshoot.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 398-402
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.398
• Online since: August 2013
• Authors: Shu Jin Zhang
• Keywords: Fuzzy Control, Intelligent Injection Wells, Self-Adaptive, Variable Space

References

[1] Z. B. Gang, and X. F. Wei, Review and outlook of separate layer water injection technology in Daqing Oilfield, Special Oil and Gas Reservoir, vol. 13, pp.4-9, May (2006).

[2] D. L. Jia, C. J. Zhao, and S. J. Zhang, Research and application of synchronous dynamic test and adjustment technology for Novel water injection well, Applied Mechanics and Materials, vol. 44-47, pp.1476-1481, December (2010).

DOI: 10.4028/www.scientific.net/amm.44-47.1476

[3] D. L. Jia, F. S. Wang, and S. J. Zhang, A Novel Multi-layer Intelligent Test and Adjustment Technology for Water Injection Well, Advanced Materials Research, vol. 424-425, pp.732-736, March (2012).

DOI: 10.4028/www.scientific.net/amr.424-425.732

[4] D. L. Jia, F. S. Wang, and D. K. Xu, Study on PIDNN-based flow control in layered water injection technology in oilfield, Advanced Materials Research, vol. 291-294, pp.2718-2722, July (2011).

DOI: 10.4028/www.scientific.net/amr.291-294.2718

[5] Jia De-li, Zhao Chang-jiang, and Yao Hong-tian, Study on new type of hierarchical injection and efficient testing adjustment techniques, Journal of Harbin University of Science and Technology, vol. 16, pp.90-94, August (2011).

[6] Yao Xu-liang, Tong Wei-ming, Yin Guo-hui, and Wang Ting-qi, Study on sensorless brushiess DC motor fuzzy self-tuning-PID control system, Chinese Journal of Seientifie Instrument, vol. 30, pp.187-192, February (2009).

[7] Zan Peng, Yan Guo-zheng, and Yu Lian-zhi, Pneumatic miniature robotic system based on adaptive fuzzy PID regulator, Chinese Journal of Seientifie Instrument, vol. 28, pp.1543-1547, September (2007).

[8] Wang Hong-qi, and Wand Qing-lin, Motion/ force robust and adaptive trajectory tracking of mobile manipulator, Control and Decision, vol. 25, pp.105-120, January (2010).

[9] Zheng Hong, Xu Hong-bing, and Zhu Gui-ping, Adaptive fuzzy control based on variable universe and its application to aero engine turbine power generator, Control Theory & Applications, vol. 25, pp.253-256, February (2008).

DOI: 10.1109/icccas.2007.4348193