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Validating Refrac Effectiveness with Carbon Rod Conveyed Distributed Fiber Optics in the Barnett Shale for Devon Energy

机译:用碳棒验证REFRAC效能,在Barnett Shale中传送了分布式光纤,为德文能量

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This paper presents a diagnostic-driven method of evaluating refracturing (refrac) techniques in unconventional wells. Detailed analysis across the lateral, using intervention based distributed fiber optic (DFO) measurements, allows for a comprehensive understanding of the refrac performance. While there are various approaches to refracing an unconventional well, there is a categorical division of two main strategies: iterations of limited interval re-stimulation or re-stimulate the entire lateral at once. Stage-by-stage refrac, via casing-in-casing or coil tubing with isolation-type packer tool, offers potential control over stimulation distribution but often incurs heavier cost compared to refracing the entire well simultaneously. The economically favorable simultaneous refrac of all stages (Bull head) can be executed at a lower price but at the cost of not knowing the extent of lateral distribution. With several possible approaches for refracing an entire lateral at once, further questions arise regarding which method provides the most laterally uniform re-stimulation and whether the resultant production improvement is from re-stimulated existing or newly created fractures. A major hurdle in both executing and evaluating the success of an all stage simultaneous refrac is the uncertainty of creating new fracture initiation points; furthermore, with complex heterogenic rock, different fracture designs, and different well completions, it is difficult to develop a comprehensive understanding of how well the refrac design worked. Diagnostic validation of the success of a refrac operation, as well as iterative improvements based on those learnings, is fundamental to determining a cost-effective strategy. A strong data set takes the guesswork out of refrac and is the best method for understanding how effective the refrac designs performed. The focus of this paper will be on a case study from a Devon US unconventional well, where a 0.6″ OD, 22,000-foot-long carbon fiber rod was deployed in the Barnett Shale to acquire distributed acoustic (DAS) and temperature (DTS) data for post-refrac evaluation. The case study will explain how distributed fiber optic (DFO) measurements are used to provide a clear and detailed understanding of the refrac effectiveness, illuminating where stimulation went, whether existing fractures alone were re-stimulated or new fractures were initiated, and revealing the corresponding impact on production. These learnings, anchored with other conventional technologies, were applied to further escalate production enhancement in future refrac operations.
机译:本文介绍了在非传统井中评估耐压(RECRAC)技术的诊断驱动方法。使用基于干预的分布式光纤(DFO)测量的横向的详细分析允许全面了解REFRAC性能。虽然有各种方法来抑制非常规良好的良好,但有两个主要策略的分类划分:有限的间隔重新刺激或一次重新刺激整个侧面的迭代。逐级REFRAC通过壳体壳体或线圈管,具有隔离式封隔器工具,提供对刺激分布的潜在控制,但与同时润滑整个井相比,通常会引起较重的成本。所有阶段(公牛头)的经济上有利的同时refrac可以以低价格执行,但以不知道横向分布的程度的成本为代价。通过一次抑制整个横向的几种可能的方法,出现了关于哪种方法提供最横向均匀的重新刺激,以及所得的产生改善是否来自再刺激现有或新产生的骨折。在执行和评估所有阶段同时refrac的成功的主要障碍是产生新的骨折发起点的不确定性;此外,通过复杂的异源岩,不同的骨折设计和不同的井完井,很难制定综合了解Refac设计的工作程度。诊断验证REFRAC操作的成功,以及根据这些学习的迭代改进,是确定具有成本效益的策略的基础。强大的数据集借助验证猜测,是了解REFRAC设计如何有效的最佳方法。本文的重点将在一个德文美国非常规良好的案例研究,其中0.6英寸的OD,22,000英尺长的碳纤维棒在Barnett Shale中部署,以获得分布式声学(DAS)和温度(DTS) refrac评估的数据。案例研究将解释分布式光纤(DFO)测量如何用于提供清晰,详细了解对RECRAC效果的理解,在刺激的情况下,在刺激的情况下,是否单独进行现有的骨折或启动新的骨折,并揭示相应的裂缝对生产的影响。这些学习与其他传统技术锚定,应用于未来REFRAC操作的进一步升级生产增强。

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