陈钢花,何宇龙,邱正松,等. 钻井过程中井漏特征精细识别方法研究与应用[J]. 石油钻探技术,2024, 52(1):26-31. DOI: 10.11911/syztjs.2023111
引用本文: 陈钢花,何宇龙,邱正松,等. 钻井过程中井漏特征精细识别方法研究与应用[J]. 石油钻探技术,2024, 52(1):26-31. DOI: 10.11911/syztjs.2023111
CHEN Ganghua, HE Yulong, QIU Zhengsong, et al. Research and application for the fine identification method of lost circulation characteristics during drilling [J]. Petroleum Drilling Techniques,2024, 52(1):26-31. DOI: 10.11911/syztjs.2023111
Citation: CHEN Ganghua, HE Yulong, QIU Zhengsong, et al. Research and application for the fine identification method of lost circulation characteristics during drilling [J]. Petroleum Drilling Techniques,2024, 52(1):26-31. DOI: 10.11911/syztjs.2023111

钻井过程中井漏特征精细识别方法研究与应用

Research and Application for the Fine Identification Method of Lost Circulation Characteristics During Drilling

  • 摘要: 井漏是钻井工程中普遍存在的井下复杂问题,严重影响着钻井施工安全与钻井周期,井漏特征精细识别是高效治理井漏的关键。首先,综合测井、钻井、录井及地质等资料,结合漏层力学性质与物理机理分析,利用加权系数法,建立了基于“井漏综合指数”的井漏层位识别新方法。然后,研究了漏失通道类型及尺寸、漏失压差、漏失速度等井漏特征参数的定量分析方法,并给出计算模型,形成了多信息融合的井漏特征精细识别方法。该方法在X区块进行了实例分析,分析结果表明,X区块实际井资料的处理结果与现场实际漏失地层的层位、漏失类型及漏失速度等井漏特征基本吻合。井漏特征精细识别方法综合考虑了井漏的主要影响因素,利用其可以准确识别漏层的特征,为防漏堵漏技术优化及施工提供科学依据。

     

    Abstract: Lost circulation is a common downhole complex problem in drilling engineering, which severely affects the safety of drilling operation and drilling cycle. Fine identification of lost circulation characteristics is the key to effectively control lost circulation. Firstly, a new method of lost circulation zone identification based on the “comprehensive lost circulation index” was established by integrating logging, drilling, and geological data, analyzing the mechanical properties and physical mechanisms of the lost circulation zone, and using the weighting coefficient method. Then, the quantitative analysis method of the lost circulation characteristic parameters, such as the type and size of the lost circulation channel, leakage pressure difference, and lost circulation velocity were studied, and the calculation models were given, forming a new technology of lost circulation characteristic identification with multi-information fusion. The example analysis results showed that the processing results of actual well data in block X were basically consistent with the lost circulation characteristics of the actual lost circulation formation, such as the lost circulation zone, lost circulation type, and lost circulation velocity. The fine identification method of lost circulation characteristics comprehensively considers the main influencing factors of lost circulation, and can accurately identify the characteristics of the leakage layer, providing scientific guidance for the optimization and operation of leakage prevention and plugging technologies.

     

/

返回文章
返回