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Using Embedded Discrete Fracture Model (EDFM) in numerical simulation of complex hydraulic fracture networks calibrated by microseismic monitoring data

机译:使用微震监测数据校准的复杂液压断裂网络的数值模拟中的嵌入离散断裂模型(EDFM)

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摘要

Hydraulic stimulation of unconventional shale and tight reservoirs often creates a complex induced fracture network, which requires a comprehensive characterization for successful exploitation and development. One of the major technologies applied over the past decade to image hydraulic fractures is microseismic monitoring, which analyzes seismic information recorded during hydraulic stimulation to locate the rock deformation. Results of the microseismic data interpretation are then used to generate and calibrate a model of the hydraulic fracture network. However, because of the complexity of the fracture model and the shortcomings of reservoir simulators, direct application of these complex fracture networks has been very limited. Instead, oversimplified models are used to assess the efficiency of the hydraulic fracturing treatment. Such assessment techniques, without further modeling and simulation of hydrocarbon production and pressure drainage, fail to represent an accurate view of the connectivity and complexity of the fracture system.
机译:非传统页岩和紧密水库的液压刺激经常产生复杂的抗骨折网络,这需要综合表征以成功开发和发展。在过去十年到图像液压骨折的主要技术之一是微震监测,分析了在液压刺激期间记录的地震信息以定位岩石变形。然后使用微震数据解释的结果来产生和校准液压骨折网络的模型。然而,由于裂缝模型的复杂性和储层模拟器的缺点,这些复杂骨折网络的直接应用已经非常有限。相反,过度简化的模型用于评估液压压裂处理的效率。这种评估技术,无需进一步建模和模拟碳氢化合物产生和压力排水,不能代表裂缝系统的连接和复杂性的准确视图。

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