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After a Decade of Microseismic Monitoring: Can We Evaluate Stimulation Effectiveness and Design Better Stimulations

机译:经过十年的微震监测:我们可以评估刺激效果和设计更好的刺激

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Over the past decade, microsesimic monitoring has become the approach most oftenused to gain an in-situ understanding of the rock's response during hydraulic fracture stimulations. From initial monitoring performed in the Barnett Shale to monitoring currently being carried out for example in the Horn River and Marcellus formations, we review the evolution of microseismic monitoring from the viewpoint of data collection (single versus multi-well array configurations, utilization of long lateral stimulation wells), to data analysis, to the incorporation of microseismic parameters to constrain and validate reservoir models. Generally, we have observed that overall fracture height, width and length, orientation, and growth vary from formation to formation and within each formation, thereby highlighting the ongoing necessity for microseismic monitoring. Additionally, through the use of advanced microseismic analysis techniques, such as Seismic Moment Tensor Inversion (SMTI), details on rupture mechanisms have been used to assess stimulation effectiveness, define complex Discrete Fracture Networks (DFN) and provide estimates of Enhanced Fluid Flow (EFF), which assist in calibrating and validating reservoir models. Utilizing spatial and temporal distributions in DFN and EFF, along with estimates of fracture interconnectivity and complexity, the role of pre-existing fractures and fault structures in the rock matrix can be established and used to provide more realistic estimates of stimulation parameters such as Stimulated Reservoir Volume (SRV).
机译:在过去十年中,微型监测已成为最经常经常使用的方法,以便在液压骨折刺激期间对岩石的反应进行原位了解。从Barnett Shale的初始监测到目前在霍恩河和Marcellus地层中进行的监测,我们从数据收集的角度审查了微震监测的演变(单一与多井阵列配置,使用长横向的利用率刺激井),数据分析,以掺入微震参数来约束和验证储层模型。通常,我们观察到,总体裂缝高度,宽度和长度,取向和生长因形成和每个形成内而异,从而突出了微震监测的持续必要性。另外,通过使用先进的微震分析技术,例如地震矩张光反转(SMTI),已经使用了破裂机制的细节来评估刺激效果,定义复杂的离散断裂网络(DFN)并提供增强的流体流动估计(EFF ),有助于校准和验证储层模型。利用DFN和EFF中的空间和时间分布,以及裂缝互连和复杂性的估计,可以建立岩石矩阵中的预先存在的裂缝和故障结构的作用,并用于提供更现实的刺激参数,例如刺激的储存器卷(SRV)。

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