HAN Xu, HAN Yu’an. A Pressure Control Modeling Approach for Managed Pressure Drilling Using Matlab[J]. Petroleum Drilling Techniques, 2017, 45(3): 67-71. DOI: 10.11911/syztjs.201703012
Citation: HAN Xu, HAN Yu’an. A Pressure Control Modeling Approach for Managed Pressure Drilling Using Matlab[J]. Petroleum Drilling Techniques, 2017, 45(3): 67-71. DOI: 10.11911/syztjs.201703012

A Pressure Control Modeling Approach for Managed Pressure Drilling Using Matlab

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  • Received Date: December 11, 2016
  • Revised Date: May 09, 2017
  • In this paper,a pressure control modeling approach using Matlab was studied to improve the pressure control accuracy of managed pressure drilling.Firstly,throttling control pressure principle of throttle valve was analyzed,the equation representing physical characteristics of throttle valve was established on the basis of Bernoulli’s equation.To do so,it was necessary to acquire throttling control pressure experiment data of throttle valve and to develop a four-parameter equation that could be used to calculate the pressure control of throttle valve.This was done by means of linear regressions using Matlab software.Second,the relation equation between the opening and throttling areas of the throttle valve was established by using Matlab software which perform goodness of fit analysis based on the characteristic curve of opening and equivalent diameter of the throttle valve selected in this experiment.Third,the opening and switching time data of the throttle valve was collected from its on-off experiment,and the relation equation between the opening and switching times was developed by using Matlab software fitting,and the theoretical model of throttling control pressure was finally established by combining above-mentioned equations.And fourth,the model was translated into the universal real time code by using the semi-physical simulation plug-in of Matlab software and the automatic control software for managed pressure drilling was prepared by adopting the modularized modeling method.In this way,the pressure control model was constructed.It was verified by a circulation analog system that this model could meet the fine pressure control requirements of managed pressure drilling with the response time of control system less than 10 s and the automatic control pressure accuracy ±0.2 MPa.It is proved that this Matlab based pressure control modeling approach for managed pressure drilling is viable.
  • [1]
    王洋,韩来聚,步玉环,等.控压钻井井口回压控制技术仿真研究[J].石油机械,2014,42(2):10-13. WANG Yang,HAN Laiju,BU Yuhuan,et al.The simulation of wellhead back pressure control technology for managed pressure drilling[J].China Petroleum Machinery,2014,42(2):10-13.
    [2]
    张兴全,周英操,刘伟,等.控压欠平衡钻井井口回压控制技术[J].天然气工业,2013,33(10):75-79. ZHANG Xingquan,ZHOU Yingcao,LIU Wei,et al.Wellhead backpressure control in under-balanced and managed pressure drilling[J].Natural Gas Industry,2013,33(10):75-79.
    [3]
    苏勤,赵向阳.一种精细控压钻井流动模型的研究与应用[J].石油钻探技术,2013,41(1):8-13. SU Qin,ZHAO Xiangyang.The research and application of a fine MPD flow model[J].Petroleum Drilling Techniques,2013,41(1):8-13.
    [4]
    张豪阳,李二欠,吕德瑾.基于MATLAB与AMESim的液压系统仿真特点[J].煤矿机械,2016,37(7):163-165. ZHANG Haoyang,LI Erqian,LYU Dejin.Simulation characteristics of hydraulic system based on MATLAB and AMESim[J].Coal Mine Machinery,2016,37(7):163-165.
    [5]
    杨贵恒,文武松,张颖超,等.基于RTW的单项半桥逆变器SPWM控制算法实现[J].电源世界,2015(4):21-24,32. YANG Guiheng,WEN Wusong,ZHANG Yingchao,et al.Realization of the SPWM algorithm for single-phase half-bridge inverter based on RTW[J].The World of Power Supply,2015(4):21-24,32.
    [6]
    周英操,杨雄文,方世良,等.精细控压钻井系统研制与现场试验[J].石油钻探技术,2011,39(4):7-12. ZHOU Yingcao,YANG Xiongwen,FANG Shiliang,et al.Development and field test of PCDS-Ⅰprecise managed pressure drilling system[J].Petroleum Drilling Techniques,2011,39(4):7-12.
    [7]
    刘琛,唐亮.控压钻井自动节流控制系统的研制与应用[J].新疆石油天然气,2013,9(4):78-83. LIU Chen,TANG Liang.The research and application of MPD automatic throttle control system[J].Xinjiang Oil Gas,2013,9(4):78-83.
    [8]
    袁亚锐,徐莉萍,任德志,等.金刚石压机位置控制数学模型的建立及Simulink仿真[J].液压与气动,2005(2):55-57. YUAN Yarui,XU Liping,REN Dezhi,et al.Mathematical model for diamond press position control and its Simulink simulation[J].Chinese Hydraulics Pneumatics,2005(2):55-57.
    [9]
    史勇,刘小勇,高翔,等.电液比列加载系统的模糊PID控制策略的研究[J].流体传动与控制,2014(4):24-27. SHI Yong,LIU Xiaoyong,GAO Xiang,et al.Research on fuzzy-PID control strategy of electro-hydraulic loading system[J].Fluid Power Transmission and Control,2014(4):24-27.
    [10]
    金业权,孙泽秋,刘刚.控压钻井钻井液动节流压力控制系统仿真分析与试验研究[J].石油钻探技术,2013,41(2):109-113. JIN Yequan,SUN Zeqiu,LIU Gang.Simulation analysis and experimental study of managed pressure drilling hydraulic throttle pressure control system[J].Petroleum Drilling Techniques,2013,41(2):109-113.]
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