基于das和DTS定量解释的流体分布裂缝诊断方法的发展

IF 1.1 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
Shohei Sakaida, Yasuyuki Hamanaka, D. Zhu, A. Hill
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引用次数: 0

摘要

水平井的多级水力压裂设计已经发生了显著的变化,流体体积更大,压裂级数更多,射孔簇间距更小,以有效地开发非常规油藏。从已发表的现场观察来看,最近的压裂设计导致了复杂的裂缝网络或裂缝群。在这种情况下,由于完井和增产设计中存在大量变量,裂缝处理评估极具挑战性。不同技术的综合测量有助于骨折诊断。无论是在压裂注入过程中还是在生产过程中,流体分布都直接关系到簇级和段级的增产效率。由于在现实世界中不可能将注入的流体均匀地分布在所有簇中,因此我们需要诊断技术来生成沿水平段的流动剖面。光纤测量包括分布式声学传感(DAS)和分布式温度传感(DTS),目前用于诊断井下流动状况。该技术使我们能够定性地确认压裂过程中发生的流体流动状况和其他问题,例如通过桥塞泄漏。为了优化压裂设计,我们还需要了解设计参数与增产效率之间的关系。在本研究中,我们将DAS和DTS两套数据解释模型结合起来,对注入流体体积分布进行解释。DAS是基于流体流速与声信号的频带能量之间的经验相关性来解释的。DTS是通过执行基于温度历史匹配的热能守恒来解释的。由于这两种解释背后的物理原理完全不同,对这两种解释的确认为流体分布提供了信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEVELOPMENT OF FRACTURE DIAGNOSTIC METHODS FOR FLUID DISTRIBUTION BASED ON QUANTITATIVE INTERPRETATION OF DAS AND DTS
Multistage hydraulic fracturing design on horizontal wells has significantly evolved with larger fluid volume, more fracturing stages, and tighter perforation cluster spacing to efficiently stimulate unconventional reservoirs. From the published field observations, the recent fracturing design results in complex fracture networks or swarm of fractures. Fracture treatment evaluation is extremely challenging in such a case, because of the large amount of variables in well completion and stimulation design. Combined measurements from different technologies can help in fracture diagnosis. Fluid distribution, either during fracture injection or during production, directly relates to the stimulation efficiency at the cluster level, and at the stage level. Since it is unlikely in the real world to distribute the injected fluid uniformly among all the clusters, we need diagnostic techniques to generate the flow profile along a lateral. Fiber optic measurements including Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS) are currently used to diagnose downhole flow conditions. This technology allows us to qualitatively confirm the fluid flow profile and other issues occurring downhole during fracturing such as leakage through plugs. For optimizing a fracturing design, we also need to understand how the design parameters are correlated with the stimulation efficiency. In this study, we combine the two sets of models of DAS and DTS data interpretation for injected fluid volume distribution. DAS is interpreted based on an empirical correlation between fluid flow rates and frequency band energy from the acoustic signals. DTS is interpreted by performing temperature history match based thermal energy conservation. Because of the completely different physics behind the interpretations, the confirmation of the two interpretations provides confidence in fluid distribution.
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来源期刊
CiteScore
2.50
自引率
8.30%
发文量
126
期刊介绍: ***Jointly published by the American Association of Petroleum Geologists (AAPG) and the Society of Exploration Geophysicists (SEG)*** Interpretation is a new, peer-reviewed journal for advancing the practice of subsurface interpretation.
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