赵军,黄文君,高德利. 大位移井钻井管柱作业极限实时预测方法[J]. 石油钻采工艺,2023,45(5):523-531. DOI: 10.13639/j.odpt.202201010
引用本文: 赵军,黄文君,高德利. 大位移井钻井管柱作业极限实时预测方法[J]. 石油钻采工艺,2023,45(5):523-531. DOI: 10.13639/j.odpt.202201010
ZHAO Jun, HUANG Wenjun, GAO Deli. Real-time prediction method of pipe string operation limits in drilling extended-reach wells[J]. Oil Drilling & Production Technology, 2023, 45(5): 523-531. DOI: 10.13639/j.odpt.202201010
Citation: ZHAO Jun, HUANG Wenjun, GAO Deli. Real-time prediction method of pipe string operation limits in drilling extended-reach wells[J]. Oil Drilling & Production Technology, 2023, 45(5): 523-531. DOI: 10.13639/j.odpt.202201010

大位移井钻井管柱作业极限实时预测方法

Real-time prediction method of pipe string operation limits in drilling extended-reach wells

  • 摘要: 大位移井长裸眼段钻进过程中,井眼约束因素复杂多变,如何准确预测管柱作业极限对于安全高效作业至关重要。为此,考虑测量数据的时效性,建立了分段摩阻系数实时反演方法,实现了钻进过程中井眼条件的实时监测;将管柱作业极限预测模型与摩阻系数实时反演方法结合,建立了管柱作业极限实时预测方法;最后,引入管柱作业安全系数的概念,建立了基于管柱作业极限的管柱作业风险实时评估方法。案例分析结果表明,该理论方法可实时预测大位移井钻进过程中的管柱作业极限,识别异常井段,实现管柱作业风险水平的定量评估,并实时识别约束管柱作业极限的主要因素,可为钻井过程中的风险识别与优化措施提供技术支撑。

     

    Abstract: During drilling the long open-hole section of extended-reach wells, wellbore is sensitive to complex and variable constraints; thus, how to accurately predict the operation limits of pipe strings is vital for safe and efficient operations. Considering the timeliness of measured data, a section-based real-time friction coefficient inversion method was developed to enable the real-time monitoring of borehole conditions during drilling. Moreover, a real-time prediction method of pipe string operation limits was established by integrating the prediction model of pipe string operation limits with the real-time friction coefficient inversion method. Finally, the concept of the pipe string operation safety factor was introduced, and a real-time evaluation method of pipe string operation risks based on the string operation limits was established. The case study shows that the proposed method can predict the pipe string operation limits in the drilling process of extended-reach wells in a real-time manner, identify the abnormal well sections, quantitatively evaluate the risk level of string operations, and clarify the main factors constraining the operation limit of pipe strings in a real-time manner. The proposed method provides a technical support for risk identification and optimization of drilling.

     

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