Step Change to Enhance Drilling Efficiency in Extended Reach Wells Using Under Reaming While Drilling, a Worldwide Record

Hussien Alzaki, Mohamed Mohamed Al-Sharafi
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Abstract

Applying new technologies to improve existing methods or techniques can be important to successfully delivering high-profile ultra-extended-reach-drilling (ERD) projects. The underreaming-while-drilling technique in ERD projects represents such an opportunity. Recently, a 14½-in. borehole required being enlarged to 16 in. due to complexities, including surface location constraints, longer stepout, and borehole instability. This paper presents the challenges, how they were addressed, and the results. A dynamic modeling system was used to model the planned drilling operation based on offset well data. The extensive engineering studies included a finite element analysis (FEA), which modeled the cutting interface designs for drilling rocks. This analysis emphasized the importance of the compatibility between the underreamer cutting structure and the drill bit, which can help to predict the drilling performance while eliminating costly trial-and-error field tests. The analysis also enhances drillstring dynamic behavior to diminish erratic torque while maintaining directional control. Taking on a challenging target dictated a multidisciplinary approach to achieve what was previously considered an impossibility. The 14½-in. borehole was enlarged to 16-in. while landing at a 90° inclination successfully for the first time worldwide in an ultraERD profile. Several notable challenges were observed during the drilling phase, which required reevaluating the initially planned operations. A significant level of shocks and vibrations were observed, which required the bottomhole assembly (BHA) design to be further optimized in terms of bit cutting structure and string stabilization. The rate of penetration was optimized using real-time data from downhole drilling mechanics. The FEA results also allowed for developing an optimized drilling parameter plan for steering across the different formation horizons to be intercepted during the drilling operations. The mechanical specific energy was used as a monitoring tool to gauge drilling performance efficiency. Together with the mechanical specific energy, the plan for drilling parameters was adjusted in real time to deliver optimal BHA performance and ensure that no BHA vibrations, axial, torsional, and lateral, negatively impacted on the rock cutting process. Connection practices were also modified to account for pilot BHA length. The successful implementation of underreaming while drilling resulted in a significant savings in rig time, and subsequent cost savings equivalent to 20% to 30% of the section authorization for expenditure. The potential benefits resulting from using existing enabling technology to further realize significant project savings exists. The application of underreaming while drilling is unique in the sense that the ERD requirements of the project are on the extreme scale of footage drilled and borehole size drilled horizontally. Lessons learned can be applied to similar projects to help shorten associated learning curves, improve project efficiencies, and ultimately ensure optimum delivery of high-quality, large, ERD wellbores.
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利用边钻边扩眼技术提高大位移井钻井效率,创造世界纪录
应用新技术来改进现有方法或技术对于成功交付高知名度的超大位移钻井(ERD)项目非常重要。ERD项目中的随钻扩眼技术就是这样一个机会。最近,一个14½-in。井眼需要扩大到16英寸。由于复杂性,包括地面位置限制、较长的步距和井眼不稳定性。本文介绍了这些挑战,它们是如何解决的,以及结果。基于邻井数据,采用动态建模系统对计划钻井作业进行建模。广泛的工程研究包括有限元分析(FEA),该分析模拟了钻井岩石的切割界面设计。该分析强调了扩眼器切削结构与钻头之间相容性的重要性,这有助于预测钻井性能,同时消除了昂贵的现场试错测试。该分析还提高了钻柱的动态性能,在保持方向控制的同时减少了不稳定的扭矩。接受一个具有挑战性的目标需要多学科的方法来实现以前被认为是不可能的。14½-。井眼扩大到16英寸。同时在全球范围内首次以90°倾角成功着陆。在钻井阶段观察到几个明显的挑战,需要重新评估最初计划的作业。观察到明显的冲击和振动,这需要在钻头切割结构和管柱稳定性方面进一步优化底部钻具组合(BHA)的设计。利用井下钻井力学的实时数据优化了钻进速度。FEA结果还允许制定优化的钻井参数计划,以便在钻井作业期间跨越不同的地层层位进行拦截。机械比能被用作监测工具,以衡量钻井性能效率。与机械比能一起,实时调整钻井参数计划,以提供最佳的BHA性能,并确保BHA没有轴向、扭转和横向振动,对岩石切割过程产生负面影响。连接方法也进行了修改,以适应先导BHA的长度。在钻井过程中成功实施扩眼作业,大大节省了钻井时间,随后节省的成本相当于该井段授权支出的20%至30%。使用现有的使能技术来进一步实现显著的项目节约所带来的潜在好处是存在的。随钻扩眼的应用是独一无二的,因为该项目的ERD要求是在极端的进尺规模和水平钻井的井眼尺寸上。吸取的经验教训可以应用到类似的项目中,以帮助缩短相关的学习曲线,提高项目效率,并最终确保交付高质量的大ERD井眼。
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