Fuzzy immune algorithm based remote wireless transmission for Throttled PID control strategy

HaiboLiang HaiboLiang

Abstract


Pressure control drilling technology (MPD) an effective solution to the problems of low efficiency and high drilling risk of conventional drilling technology. Based on the current working environment of  the oil well site, this paper introduces a data acquisition system based on the well field wireless transmission network, studies and analyzes the factors affecting the bottom hole pressure and the characteristics of the various components of the throttle manifold. Based on the mathematical model   of the control system and the remote wireless transmission of data, this paper proposes an improved fuzzy immune PID control model. The model uses fuzzy rules to adjust the parameters of the PID controller in adaptively, which keeps the controlled object  in  a  good  dynamic  and  static  stable state, reduces the overshoot of the traditional PID and makes the controlled variable approach the control target quickly. The control system simulation results show that the fuzzy immune PID control algorithm has a fast dynamic response, no overshoot, no static error, and strong self-adaptability when the algebraic model parameters of throttle valve change.


Keywords


Wellhead backpressure Bottom hole pressure control Pressure control drilling Immune feedback PID Remote wireless transmission Throttle valve

References


Jing Zhou, et al., Switched control for pressure regulation and kick attenuation in a managed pressure drilling system, IEEE Trans. Control Syst. Technol. 19 (2) (2011) 337–350.

Hessam Mahdianfar, et al., L1 adaptive output regulator design with application to managed pressure drilling, J. Process Control 42 (2016) 1–13.

Anders Albert, et al., Suppressing pressure oscillations in offshore drilling: Control design and experimental results, IEEE Trans. Control Syst. Technol. 23 (2) (2015) 813–819.

Liv A. Carlsen, G. Nygaard, M. Nikolaou, Evaluation of control methods for drilling operations with unexpected gas influx, J. Process Control 23 (3) (2013) 306–316.

Haibo Liang, Jialing Zou, An sand plug of fracturing intelligent early warning model embedded in remote monitoring system, IEEE Access 7 (2019) 47944–47954.

X. Yang, Y. Zhou, S. Fang, W. Liu, Design and laboratory test of hierarchical intelligent control system for managed pressure drilling, Pet Drill Tech. 04 (2011) 13–18.

R.A. Gandelman, A.L. Martins, G.T. Teixeira, A.T.A. Waldmann, M.S.C. Rezende, A.F.L. Aragao, A Comprehensive Methodology to Avoid and Re- mediate Drilling Problems By Real-Time PWD Data Interpretation, Society of Petroleum Engineers, 2009,http://dx.doi.org/10.2118/124116-MS.

Jing Zhou, G. Nygaard, Automatic model-based control scheme for stabiliz- ing pressure during dual-gradient drilling, J. Process Control 21 (8) (2011) 1138–1147.

H.M. Santos, Paul lan Reid, J.L. Jones, et al., Developing the Mi-Cro-Flux Control Method:Part 1:System Development, Field Testpreparation and Results, SPE 97025, 2005.

Angelo Calderoni, Giorgio Girola, Michele Maestrami, Microflux Control and e-CD Continuous Circulation Valves Allow Operator Toreach HPHT Reservoirs for the First Time, SPE 122270, 2009.

Y. Pan, U. Ozguner, O.H. Dagci, Variable-structure control of electronic throttle valve, IEEE Trans. Ind. Electron. (2008).

Guo R. Wang, et al., Optimization design for throttle valve of managed pressure drilling based on CFD erosion simulation and response surface methodology, Wear 338–339 (2015) 114–121.

Paolo Mercorelli, Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve, Mechatronics 19 (8) (2009) 1334–1345.

Mireia Altimira, L. Fuchs, Numerical investigation of throttle flow under cavitating conditions, Int. J. Multiph. Flow. 75 (2015) 124–136.

He Denghui, B. Bofeng, Gas-liquid two phase flow with high GVF through a horizontal V-cone throttle device, Int. J. Multiph. Flow. 91 (Complete) (2017) 51–62.

Wang Deyu, Li Cailiang, Wang Qiyan, et al., Dynamic analysis of electro- hydraulic proportional throttling well control system, Specialty Oil Gas Reserv. 13 (6) (2006) 101–104.

Tian Yong, Gao Changyin, Wang Zongcai, Hydraulic and Pneumatic Trans- mission Technology and Application, Publishing House of Electronics Industry, Beijing, 2011.

Wang Deyu, Mei Dacheng, Liu Huixin, Xie Chong, Wang Qiyan, Application of industrial computer in multi-stage throttling control system, Comput. Meas. Control 14 (9) (2006) 1671-4598(2006)09-1173-02.

L.A. Segel, R.L. Bar-Or, On the role of feedback in promoting conflicting goals of the adaptive immune system, J. Immunol. 163 (3) (1999) 1342. [20]Mueller, L. Daniel, Tuning the immune system: competing positive and

negative feedback loops, Nature Immunol. 4 (3) (2003) 210–211. [21]Yang Zong-Chang, et al., Artificial immune algorithm-based credit eval-

uation for mobile telephone customers, J. Oper. Res. Soc. 66 (9) (2015) 1533–1541.


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