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Laboratory-Scale Hydraulic Fracturing: Experiment and Numerical Modeling

机译:实验室规模液压压裂:实验和数值模型

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Laboratory-scale experiments are an important method for improving understanding of the hydraulic fracturing process under controlled circumstances, even though it is difficult to realistically simulate downhole conditions in a laboratory. Laboratory-scale experiments can also help determine if a numerical model can be used as a predictive tool for hydraulic fracturing analysis. This paper discusses both experimental and numerical modeling performed for a hydraulic fracturing test on a 30x30x45 cm specially designed cement block. The experiment was conducted using a true poly-axial testing system, and was designed to obtain data regarding the behavior of a hydraulically induced fracture and its interaction with a pre-existing fracture. The experimental data can provide insight to better understand the mechanisms of fracture initiation, propagation, and interaction. A computational algorithm was used to perform numerical modeling for the laboratory fracturing test. The computational algorithm tightly couples geomechanics and fluid dynamics models while providing fracture propagation criteria for hydraulically induced fractures. The numerical simulation results are compared in this work to experimental results, illustrating that the numerical model is capable of describing the interaction between pre-existing fractures. It also can help improve the understanding of complex fracture growth in reservoir conditions.
机译:实验室规模的实验是改善受控环境下改善液压压裂过程的理解的重要方法,尽管难以在实验室中实际模拟井下条件。实验室规模的实验还可以帮助确定数值模型是否可以用作液压压裂分析的预测工具。本文讨论了在30x30x45cm专门设计的水泥块上对液压压裂试验进行的实验和数值模拟。使用真正的多轴检测系统进行实验,并且设计用于获得关于液压诱导的骨折的行为及其与预先存在的骨折的相互作用的数据。实验数据可以提供更好地理解骨折启动,传播和相互作用的机制的洞察力。计算算法用于对实验室压裂测试进行数值建模。计算算法紧密地耦合地质力学和流体动力学模型,同时为液压诱导的骨折提供裂缝传播标准。在该工作中将数值模拟结果与实验结果进行了比较,说明数值模型能够描述预先存在的裂缝之间的相互作用。它还可以帮助改善对储层条件的复杂骨折生长的理解。

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