利用大数据和数值模拟了解泥浆脉冲对钻井动力学的影响

Yuelin Shen, Sameer Bhoite, Zhengxin Zhang, Wei Chen, Sylvain Chambon, Sameh Ibrahim, David Conn, David L. Smith, Cen Chen, Shadi Mussa
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引用次数: 2

摘要

非常规油气井通常测量深度超过20,000英尺。为了确保能够在地面上检测到压力脉冲,许多MWD工具都被设计成能够产生非常大振幅的泥浆压力脉冲。大压力脉冲虽然解决了将测量信息上传到地面的问题,但对钻井系统能量变化和井下钻井动力学产生了重大影响。本文的重点是利用大数据和钻井系统建模来了解其影响。当常用的MWD工具产生泥浆脉冲序列时,它会在设计模式下阻塞流动路径。这使得MWD工具下方的泥浆马达产生了泥浆流量变化。由于压力的变化,还会产生轴向力的变化,从而影响钻压。这些变化导致电机和钻头经历显著的转速变化。转速变化和钻压变化的组合往往激发更严重的轴向和横向冲击和振动。这些影响可以通过成千上万的高频井下数据集和先进的数值模拟来量化。在高频井下数据集中,有些数据来自MWD工具产生较大泥浆压力脉冲的bha,有些数据来自MWD工具产生较小泥浆压力脉冲或使用电磁信号传输测量值的bha。统计转速变化和轴向和横向冲击和振动进行了比较。这清楚地表明,使用大泥浆压力脉冲的bha会经历更严重的扭转、轴向和横向振动。当研究特定的数据集时,结果表明,泥浆压力脉冲可能会导致马达在流动堵塞阶段损失超过一半的转速。典型数据集表明,在电动旋转导向钻具组合中,泥浆压力脉冲与严重的高频扭转振荡(HFTO)有关。建立了一种先进的瞬态钻井动力学模型,模拟了整个钻井系统在泥浆压力脉冲载荷条件下的动态变化。研究发现,根据井下高频数据记录,大量级的泥浆压力脉冲会引起更多的粘滑、轴向和横向振动。旋转、轴向和横向振动的增加对应于钻头上泥浆马达组件和PDC切削齿的更多载荷变化。这些变化可能会加速钻头和井下工具的损坏。综上所述,一些随钻工具使用的大泥浆压力脉冲会带来显著的转速变化和冲击振动,这些变化可以通过大数据量化,并通过钻井系统建模进一步证明。这些信息可以帮助制定BHA设计和工具选择的决策,以提高钻井性能,降低工具过早失效的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understand the Effect of Mud Pulse on Drilling Dynamics Using Big Data and Numerical Modeling
It is common to have measured depth exceeding 20,000 ft for unconventional oil and gas wells. To ensure the pressure pulse can be detected on the surface, many MWD tools have been designed to generate mud pressure pulse with very large amplitude. While the large pressure pulse solved the problem of sending the measured information up to the surface, it creates significant impact on drilling system energy variation and downhole drilling dynamics. This paper focuses on understanding the effects using big data and drilling system modeling. When a commonly used MWD tool generates mud pulse sequence, it chokes the flow path at designed patterns. This creates mud flow variation in the mud motor below the MWD tool. It also generates axial force variations due to pressure changes, which affect WOB. These changes cause the motor and the bit to experience significant rpm variations. The combined rpm variation and WOB variation often excite more severe axial and lateral shock and vibration. These effects are quantified by thousands of high-frequency downhole datasets and advanced numerical modeling. In the high-frequency downhole datasets, some of them are obtained from BHAs with MWD tools generating large mud pressure pulse, and some of them are obtained from BHAs with MWD tools generating smaller mud pressure pulse or transmitting the measurements using electromagnetic signal. Statistics of rpm variation and axial and lateral shock and vibrations are compared. It clearly shows that the BHAs utilizing large mud pressure pulse experience more severe torsional, axial, and lateral vibrations. When looking into specific datasets, it showed that mud pressure pulse could cause the motor to lose more than half of its rpm during the flow choking phase. Typical datasets indicate that mud pressure pulse correlates to severe high-frequency torsional oscillation (HFTO) in motorized rotary steerable BHA. An advanced transient drilling dynamics model was built to simulate the whole drilling system subjecting to mud pressure pulse incurred loading conditions. It was found that large-magnitude mud pressure pulse induced more stick/slip and axial and lateral vibrations as recorded in downhole high-frequency data. The increased rotational, axial, and lateral vibrations correspond to more loading variations in the mud motor components and PDC cutters on the drill bit. These variations could cause accelerated damage to the drill bit and downhole tools. In summary, large mud pressure pulse utilized by some MWD tools introduces significant rpm variation and shock and vibration, which is quantified by big data and further demonstrated by drilling system modeling. The information could help make decisions on BHA design and tool selection to achieve improved drilling performance and reduce the risk of premature tool failure.
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