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超深井自动控制压井室内物理模拟试验及结果分析

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现有超深井溢流压井技术依靠手动控制节流管汇,响应速度慢,井筒压力波动大,容易引发二次溢流、漏失等复杂情况,而自动控制压井技术可实现钻井时溢流压井作业稳定控制.为此,设计了比例-积分-微分(PID)与位移双层协同反馈的自动控制方法,开发了超深井自动控制压井系统,建立了自动控制压井物理模拟试验装置,开展了恒定目标压力、连续变化目标压力、压力突变干扰等条件下的自动控制压井试验.试验结果表明,自动控制压井系统能够在 30s左右完成节流阀开度的调节,节流压力波动范围小于 0.02 MPa,与手动控制压井相比,自动控制压井系统具有良好的稳定性、准确性、反应速度和抗干扰能力.研究结果为超深井复杂地层安全压井提供了理论依据.
Physical Simulation Experiment and Result Analysis of Automatically Controlled Killing in Ultra-Deep Well
Existing ultra-deep well overflow killing relies on manual control of the choke manifold,which suffers from a slow response and large wellbore pressure fluctuation,likely resulting in complex situations such as secondary overflow and leakage.In contrast,automatically controlled killing can achieve the stable control of overflow killing operations during drilling.Therefore,the automatic control method integrating"proportional,integral,and differential(PID)+displacement"double-layer synergic feedback was designed.The automatically controlled killing system for ultra-deep wells was developed,and the physical simulation experiment device for automatically controlled killing was established.The automatically controlled killing experiment was carried out under the conditions of constant target pressure,continuously changing target pressure,and sudden pressure interference.The experiment results show that the automatically controlled killing system can adjust the choke valve opening within about 30 s,and the range of choke pressure fluctuation is less than 0.02 MPa.Compared with manually controlled killing,the automatically controlled killing system possesses good stability,accuracy,response speed,and anti-interference ability.The results of the study provide theoretical basis for the safe killing for complex formations in ultra-deep wells.

ultra-deep welloverflowPID controlautomatically controlled killingphysical simulation

李军、杨宏伟、陈旺、龙震宇、张更

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中国石油大学(北京)石油工程学院,北京 102249

中国石油大学(北京)克拉玛依校区,新疆克拉玛依 834000

超深井 溢流 PID控制 自动控制压井 物理模拟

国家自然科学基金青年科学基金中国石油大学(北京)科研项目

521040122462023BJRC008

2024

石油钻探技术
中国石油化工股份有限公司 石油勘探开发研究院石油钻井研究所

石油钻探技术

CSTPCD北大核心
影响因子:1.611
ISSN:1001-0890
年,卷(期):2024.52(2)