基于水锤效应的水力压裂数据分析方法研究

Jianguo Shen , Huaiyin He , Yanchao Li , Longqing Zou , Yixuan Wang , Zhaoying Zhu , Lingkong Guo , Shuoran Fu
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引用次数: 0

摘要

水力压裂在非常规资源开发中发挥着至关重要的作用,而评估裂缝几何形状是水力压裂分析的一个基本方面。在评估裂缝几何形状的各种技术中,基于水冲击信号的方法因其成本效益、方便性和实时性而广受欢迎。在本研究中,我们提出了一种利用水冲击效应分析裂缝数据的方法。通过利用裂缝对水冲击压力衰减的影响,我们提出了一种确定裂缝几何形状的反计算方法。首先,我们介绍了RCI(油藏-完井相互作用)回路模型,该模型有效地解决了井底裂缝边界问题,并模拟了井筒中水冲击压力的变化。其次,在迭代过程中利用模拟结果来确定RCI值,然后将其用于裂缝几何形状的反演计算。最后,我们将该方法应用于一个现场案例,并将模拟结果与微震监测数据进行了比较。较大的阻力(R)值表示较小的裂缝体积,而(C)值可用于监测压裂模拟过程中任何表现不佳的阶段。(I)值主要影响裂缝尺寸的参数计算,尤其是裂缝宽度。现场应用结果表明,该模型的准确率超过80%,验证了模型的可靠性,为现场压裂数据分析提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation of data analysis method for hydraulic fracturing based on the water hammer effect

Hydraulic fracturing plays a crucial role in the development of unconventional resources, and assessing fracture geometry is a fundamental aspect of hydraulic fracturing analysis. Among the various technologies for evaluating fracture geometry, the water percussion signal-based method has gained popularity due to its cost-effectiveness, convenience, and real-time capabilities. In this study, we present a methodology for analyzing fracture data that utilizes the water percussion effect. By leveraging the impact of fractures on water percussion pressure attenuation, we propose an inverse calculation approach to determine fracture geometry. Firstly, we introduce the RCI (Reservoir-Completion-Interaction) circuit model, which effectively addresses the bottom hole fracture boundary and simulates the variation of water percussion pressure in the wellbore. Secondly, the simulation results are utilized in an iterative process to determine the RCI values, which are then utilized for the inversion calculation of fracture geometry. Finally, we apply this method to a field case and compare the simulation results with microseismic monitoring data. A larger resistance (R) value indicates a smaller fracture volume, while the (C) value can be used to monitor any poorly performing stages of the fracturing simulation process. The (I) value primarily affects the parameter calculation of the fracture size, especially the fracture width. The results of the field application show that the accuracy rate exceeding 80%, validating the reliability of the model and providing a valuable reference for field fracturing data analysis.

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