利用在钻头上捕获的电子数据,结合自动钻头钝化分级,改善钻头设计特点,改善钻头钝化状况,最终改善钻井性能

C. Galarraga, Gabe Gusey, Derek Wade, Andrew Allen
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引用次数: 0

摘要

从历史上看,钻头的井下振动很难确定和测量。此外,油田人员通过目测对分级钻头进行钝化,这给钝化状况的评价带来了主观性。测量钻头功能障碍以帮助了解钻头失效的根本原因的工具,以及用于可靠分级的数字钻头成像系统,在了解钻头性能方面一直存在空白。本文介绍了一项现场研究,该研究将井下测量和自动钝化分级相结合,以提高性能。在二叠纪盆地,最具挑战性的应用之一是垂直+曲线+水平段的生产,这是由于钻井过程中的互层过渡,无法跟踪切线和建立曲线。钻头的振动类型及其来源是未知的,在这种情况下,确定钻头磨损位置和切削齿损坏类型也是一个挑战。钻头上的传感器用于测量井下功能障碍,结合计算钻头损坏的数字成像系统,进行全面的工程分析,以确定提高钻井效率所需的钻头设计变更。在钻头上记录的高频数据显示了高震级的横向事件,表明与地层有关的问题。自动钝度分级系统显示,钻头锥体出现了灾难性的损坏,下肩带和测量区域的切削齿也出现了断裂和分层,这是由于在钻穿硬管柱时发生横向振动时,切削齿过载造成的。我们对钻头的振动进行了研究,以了解它们是如何产生的,以及我们如何减轻它们。对记录的电子钻头数据和数字钻头钝度分级系统的输出结果进行了分析,确定了需要改进的钻头特征。根据记录的钻头数据和数字钝钻头分析,采用先进的钻头轮廓和切削结构布局,并采用更有效的切削深度(DOC)控制元件,结合新一代PDC切削齿,开发出适合用途的钻头设计。因此,开发出了一套完整的钻头设计解决方案,可以钻更长趟、更好的钝化条件和整个盆地非常一致的性能。本文介绍了井下振动在钻头上的性质,以及它们由于钻井性能不佳而损坏钻头的后果。一种新型的数字自动磨粒分级系统可以准确地确定钻头的详细位置、位置以及振动产生的磨损类型,并为提高性能提供实用建议。详细的现场数据来自不同的下入,显示了钻头设计的改变减少了故障,并延长了钻井间隔。
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Utilizing Electronic Data Captured, at the Bit, in Combination with Automated Bit Dull Grading, to Improve Bit Design Features, Dull Condition, and Ultimately, Drilling Performance
Historically, downhole vibrations at the drill bit have been difficult to determine and measure. In addition, oilfield personnel has dull graded bits through visual inspection, which introduces subjectivity into the assessment of the dull condition. Tools to measure dysfunctions at the bit to help understand the root cause of bit failure, and a digital bit imaging system for reliable dull grading, have been a gap in understanding drill bit performance. This paper presents a field study where downhole measurements and automated dull grading were utilized in tandem to improve performance. In the Permian Basin, one of the most challenging applications is the production Vertical+Curve+Lateral section, due to interbedded transitions while drilling, the inability to track tangents, and building curves. The type of vibrations at the bit and their sources were unknown, and determining bit wear location and the type of cutter damage was also a challenge in this case. A sensor at bit to measure downhole dysfunctions, in combination with a digital imaging system that calculates the bit damage, was used to carry out a comprehensive engineering analysis to determine the bit design changes needed for enhanced drilling efficiency. The high-frequency data recorded at the bit showed lateral events of high magnitude that indicated formation-related issues. The automated dull grading system showed catastrophic damage in the cone, along with breakage and delamination of the cutters in the lower shoulder and gauge areas, due to cutter overloading during the lateral vibration events while drilling through hard stringers. The vibrations at the bit were studied to understand how they were generated and how we can mitigate them. The recorded electronic bit data and the outputs of the digital bit dull grading system were analyzed together to determine drill bit features that need to be improved. Based on the bit data recorded and digital dull bit analyses, an advanced bit profile and cutting structure layout with a more impactful placement of depth-of-cut (DOC) control elements were used to develop a fit-for-purpose drill bit design combined with a new generation of PDC cutters. As a result, a complete drill bit design solution was developed to drill longer runs with better dull condition and very consistent performance across the basin. This paper describes the nature of downhole vibrations at the bit and their consequences of damaging the bit through poor drilling performance. A new digital, automated dull grading system accurately determined the detailed location, on the bit, and type of wear produced by the vibrations, and it offered practical recommendations for improving performance. Detailed field data from different runs, showing where bit design changes reduced the failures and resulted in longer intervals drilled, will be presented.
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