Frac Plug Forensics: Post-Fracture Plug Failure Root Cause Analysis and the Subsequent Impact on Stimulation Performance

Trent Pehlke, G. Simpson, Tamara Maxwell, Cassidy Chow, Charles Bourgeois, Joshua Stibbs
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Abstract

High-resolution acoustic imaging technology has been developed and deployed to assess the sealing performance of over 11,822 isolation plugs following perforation and fracturing operations. With this information, advanced stimulation performance analysis can be conducted to enable the optimization of future completion designs and well operations. This paper provides insight into how this technology works and showcases its visualization capabilities. Additionally, through case studies, this paper shares how major North American operators deploy acoustic imaging to assess and improve their stimulation performance analysis and completion design. These studies reveal foundational and actionable information regarding the performance of different plug designs run in active frac basins. Furthermore, the downstream impacts resulting from these findings such as stage uniformity and overall perforation growth were also analyzed and presented. By integrating high-resolution acoustics with proprietary imaging and machine vision techniques, this technology provides operators with a 360-degree view of the entire lateral in hydraulically fractured wells. In a single run, sub-millimetric 3D point clouds of data are collected for precise measurements and high-resolution image generation to identify post-stimulation liner damage and breaches at plug locations. In addition to damage and breach identification, phase angle, wall loss, ovality, erosional pattern, and plug slip displacement distances are also precisely determined for a complete assessment of plug performance and zonal isolation. Following a detailed analysis of this aggregate dataset, an insightful plug performance assessment was undertaken by analyzing the 3D point clouds of data at each plug location. Analysis of the high-fidelity renderings and precise measurements revealed a notable performance difference between four commonly deployed plug types used. Select plug types more frequently failed leading to a fully breached casing, while others experienced significant sealing element and casing erosion. Depending on the failure type, uphole, target, and downhole stages may be under or over-stimulated. These effects are quantified in aggregate when analyzing the wells Uniformity Index and perforation area growth. This high-resolution acoustic imaging technology has been used to directly identify and assess plug location damage and breaches faster and more efficiently than legacy technologies. Using the aggregate data collected and through the integration of machine vision algorithms and advanced imaging software, a detailed stimulation performance assessment can be completed. With this dataset, completion design improvements can be made with confidence to decrease stimulation operation risks and increase frac efficiency.
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压裂塞取证:压裂后堵塞故障根源分析及其对钻井性能的影响
我们开发并部署了高分辨率声学成像技术,用于评估超过 11,822 个隔离塞在射孔和压裂作业后的密封性能。有了这些信息,就可以进行先进的激励性能分析,从而优化未来的完井设计和油井作业。本文将深入介绍该技术的工作原理,并展示其可视化功能。此外,本文还通过案例研究,分享了北美主要运营商如何利用声学成像技术来评估和改进其激励性能分析和完井设计。这些研究揭示了在活跃压裂盆地运行的不同堵塞设计性能的基础性和可操作性信息。此外,还分析并介绍了这些发现所产生的下游影响,如阶段均匀性和整体射孔增长。通过将高分辨率声学与专有成像和机器视觉技术相结合,该技术可为操作人员提供水力压裂井整个侧向的 360 度视图。在一次运行中,可收集亚毫米级三维点云数据,进行精确测量并生成高分辨率图像,以识别刺激后衬垫的损坏和堵塞位置的破损。除识别损坏和破损外,还可精确测定相位角、壁面损失、椭圆度、侵蚀模式和塞子滑移位移距离,以全面评估塞子性能和分区隔离情况。在对这一综合数据集进行详细分析后,通过分析每个堵塞位置的三维点云数据,对堵塞性能进行了深入评估。对高保真效果图和精确测量结果的分析表明,四种常用的堵头类型之间存在明显的性能差异。某些类型的堵塞更容易失效,导致套管完全破裂,而其他类型的堵塞则会出现严重的密封元件和套管侵蚀。根据失效类型,井上、目标和井下阶段可能受到的刺激不足或过度。在分析油井均匀性指数和射孔面积增长时,会对这些影响进行综合量化。与传统技术相比,这种高分辨率声学成像技术能够更快、更有效地直接识别和评估堵塞位置损坏和裂缝。利用收集到的综合数据,通过整合机器视觉算法和先进的成像软件,可以完成详细的激励性能评估。有了这个数据集,就可以有把握地改进完井设计,从而降低激励作业风险,提高压裂效率。
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