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首页> 外文学位 >Comparing Intelligent Predictive Controller (IPC) and proportional-integral-derivative controller on well control .
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Comparing Intelligent Predictive Controller (IPC) and proportional-integral-derivative controller on well control .

机译：在井控上比较智能预测控制器（IPC）和比例积分微分控制器。

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摘要

Within the oil industry, drilling is defined as making hole into the Earth's crust either to determine the existence or to allow production of oil and/or gas from the hydrocarbon reservoirs. During the drilling process, the pressure level inside the wellbore, called the bottom hole pressure (BHP), has to be kept between the two limits, namely the pore pressure and the fracture pressure.;If BHP is kept below the pore pressure, the oil or the gas present in the rock pore may flow into the wellbore. On the other hand, if it goes above the fracture pressure, the rock will break creating a fracture and the drilling fluid will be lost to the formation. Window between the two pressures is called mud window or drilling window.;To keep the BHP inside the wellbore within the drilling window especially to keep it higher than the pore pressure at all times to avoid undesired influx (kick) into the wellbore, hydrostatic pressure provided by the drilling fluid (mud) is adjusted continuously. Nevertheless, a kick occurs if an unexpected high pressure formation is encountered or the adjustment fails.;After a kick has been detected, pressure control techniques become very important to circulate out this very high pressure oil or the gas in the wellbore in a controlled fashion. Small mistakes can cause loss of the well, life, money, reserves, and facilities, create pollution, and cause a bad public image for drilling companies.;In this study, the well known control technique in well control called "Proportional Integral Derivative Control" (PID) is compared to a new control technique called "Intelligent Predictive Control" (IPC). The IPC was initially implemented by Siemens for heat control. In this study, the IPC has been adapted to well control. The overshoot and the settling time parameters were measured for various pressures in both methods. It was observed that the IPC performed better in both overshoot and settling time parameters over the PID. Nevertheless, the IPC showed unstable behaviors over mid-range pressures in some cases. Further study is needed to investigate the leading factors to the instability.;The results of this study are presented in tables and figures.
机译：在石油工业中，钻探的定义是在地壳上打孔以确定存在或允许从碳氢化合物储层中生产石油和/或天然气。在钻井过程中，必须将井眼内部的压力水平（称为井底压力（BHP））保持在两个极限之间，即孔隙压力和压裂压力;如果BHP保持在孔隙压力以下，岩石孔隙中存在的石油或天然气可能会流入井眼。另一方面，如果它超过破裂压力，岩石将破裂而产生裂缝，并且钻井液将损失到地层中。两种压力之间的窗口称为泥浆窗口或钻井窗口;要使BHP始终保持在钻井窗口内的井眼内，尤其是始终使其高于孔隙压力，以避免不希望的涌入（踢入）井眼，产生静水压力钻井液（泥浆）所提供的水量是连续调节的。但是，如果遇到意外的高压形成或调节失败，就会发生反冲。;在探测到反冲之后，压力控制技术对于以受控方式在井眼中循环这种极高压的油或气变得非常重要。 。小错误可能会导致井，生命，金钱，储备和设施的损失，造成污染，并给钻井公司造成不良的公众形象。；在本研究中，井控中众所周知的控制技术称为“比例积分微分控制”。 （PID）与称为“智能预测控制”（IPC）的新控制技术进行了比较。 IPC最初由西门子实施，用于热控制。在这项研究中，IPC已进行了井控。在两种方法中都针对各种压力测量了过冲和稳定时间参数。可以观察到，与PID相比，IPC在过冲和稳定时间参数上的表现都更好。但是，在某些情况下，IPC在中压范围内仍表现出不稳定的行为。需要进一步研究以调查导致不稳定的主要因素。;本研究的结果显示在表格和图中。

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  • 作者

    Tan, Ahmet.;

  • 作者单位

    Southern University and Agricultural and Mechanical College.;

  • 授予单位 Southern University and Agricultural and Mechanical College.;
  • 学科 Engineering Electronics and Electrical.;Engineering Petroleum.
  • 学位 M.S.
  • 年度 2011
  • 页码 83 p.
  • 总页数 83
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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