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基于机械比能理论的钻头磨损监测新方法 被引量:40

New Approach for Real-Time Bit Wear Monitoring Based on the Theory of MSE
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摘要 现有基于机械比能理论的钻头磨损监测方法,都是通过机械比能趋势线对钻头钝化趋势作定性分析,没有一种定量计算钻头磨损等级的有效方法。在前人研究成果的基础上,选取合理机械比能模型,通过优化钻头扭矩回归数据对其进行了优化;综合考虑钻头设计参数、切削结构、钻井参数及钻头磨损等的影响,选取了合适的牙轮钻头和PDC钻头钻速方程,提出了一种定量计算与定性分析相结合的钻头磨损监测新方法。该方法充分考虑了钻速、钻压、转速、扭矩以及钻头设计参数等因素,采用钻速方程和测录井数据计算机械比能、岩石抗压强度和钻头磨损等级分级系数。该方法在南海油田宝岛区块A井、准噶尔盆地风城区块B井、吐哈油田某区块C井等的多个井段进行了PDC钻头和牙轮钻头的磨损监测,结果表明,较之钻头磨损实测数据,PDC钻头的平均相对误差为9.87%,牙轮钻头为21.15%,即新方法能有效监测钻头磨损情况且更适用于PDC钻头。 Previous bit wear monitoring methods which based on theory of MSE analyzed the normal trend line of MSE, which is qualitative analysis method. There was not a quantitative calculation method for bit wear. This paper chooses a reasonable torque calculation model to optimize the MSE calculation model and chooses appropriate ROP equation of PDC and cone bits which consider bit design parameter, cuttingstructure, drilling parameters and bit wear fully. This paper proposes a new method that combines the qual- itative analysis and considering such factors as ROP,WOB, RPM, torque and bit design parameters etc, the new approach uses ROP models and some logging data to calculate MSE, Cs and bit wear grade factor. It has been applied in several bits wear monitoring, such as Well B in Junggar Basin,Well A in South ChinaSea Basin and Well C in Tuha Basin. Compared with measured data,the relative error of accuracy of calcu- lated results of PDC bits is 9.87%, and that of cone bits is 21.15 %, therefore, this new method has great accuracy and is more suitable for PDC bits.
出处 《石油钻探技术》 CAS 北大核心 2012年第3期116-120,共5页 Petroleum Drilling Techniques
关键词 机械比能 钻速方程 抗压强度 钻头磨损 监测方法 mechanical specific energy ROP equatiom compressive strength bit wear monitoringmethod
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参考文献16

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