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Fracture Quantitative Characterization Using Tracer Flowback for Multistage Fracturing Horizontal Well in Tight Oil

机译:裂缝定量表征使用示踪剂流量进行多级压裂水平井在紧的油井中

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Unconventional reservoirs have emerged as significant hydrocarbon supplies all over the world. Although horizontal drilling combined with multistage hydraulic-fracturing techniques has enabled commercial hydrocarbon production from unconventional reservoirs, fracture characterization in such complex reservoirs remains challenging. In this study, we propose an analytical model to characterize fracture using the early-time post-stimulation tracer flowback profile. The tracer flowback analysis is a quick method used to evaluate load recovery of hydraulic liquids, productivity of each stage and fracture characterization. However, tracer flowback analysis combined with microseismic data is still at qualitative appraisal stage and non-Newtonian effect of hydraulic fluids is not considered. Therefore, based on convection-diffusion transport theory, a tracer injection flowback model is developed and solved by Laplace transform and image reflection method, and then fracture parameters characterization is proposed considering the non-Newtonian hydraulic fluids flow. The results demonstrate that the calculated tracer profile of the presented model can well explain the main part of tracer flowback profile except the long trail. That is because the model only considers the process of tracer transports in hydraulic fractures while the long tail of tracer flowback profile reflects the mass interchange between hydraulic fractures and tight matrix. Parameters sensitivity study shows that the peak of tracer flowback profile decrease with the increasing dispersion coefficient and retardation; tracer dispersion induces the increment of tracer slug extent. The differernce of tracer injection and flowback rate severly affects the shape of tracer flowback profile. Fracture parameters are characterized and validated with field data. The presented model for describing the behavior the tracer profile during the flow back process provides an alternative approach for reservoir characterization. This study encourages the industry to manage the flowback operations carefully.
机译:非传统水库已成为世界各地的碳氢化合物供应。虽然水平钻井与多级液压压裂技术相结合,但能够使商业碳氢化合物产生免受非传统的储层,但这些复合储层的骨折表征仍然具有挑战性。在这项研究中,我们提出了一种分析模型来使用早期刺激跟踪器回流轮廓来表征裂缝。示踪剂回流分析是一种快速方法,用于评估液压液体的负荷回收,每个阶段的生产率和裂缝表征。然而,跟踪流量分析与微震数据相结合仍处于定性评估阶段,并且不考虑液压流体的非牛顿效应。因此,基于对流扩散传输理论,通过拉普拉斯变换和图像反射方法开发和解决了示踪剂喷射流量模型,然后提出了考虑非牛顿液压流体的裂缝参数表征。结果表明,所呈现模型的计算出的示踪轮廓可以很好地解释除了长路之外的示踪剂流剖面的主要部分。这是因为该模型仅考虑液压裂缝中的示踪剂传输过程,而示踪剂回流轮廓的长尾反射液压裂缝和紧密基质之间的质量互换。参数灵敏度研究表明,示踪剂回流轮廓的峰值随着分散系数和延迟的增加而降低;示踪剂分散导致示踪器的置换范围的增量。示踪剂喷射和回流速率的不同影响示踪剂回流轮廓的形状。骨折参数具有现场数据的特征和验证。所提出的模型,用于描述在流回程过程中示踪剂轮廓的行为提供了一种替代方法,用于储存器表征。本研究鼓励行业仔细管理流量操作。

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