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Tool and Velocity Model Calibration for Downhole-Based Hydraulic Fracture Monitoring of Induced Microseismicity

机译:基于井下液压断裂监测的工具和速度模型校准

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With downhole-based microseismic monitoring jobs, obtaining accurately mapped hypocentral locations and associated source parameters depends on the correctness of the calibration process. Commonly downhole-based passive microseismic monitoring requires one or more arrays of 3C sensors to be lowered to appropriate depth(s) in one or more monitoring wellbores using wireline cables. During this process, each shuttle housing a three-component sensor might rotate (Le Calvez et al., 2005, Bulant et al., 2006). For this reason, tool orientation using one or more sources at known locations is critical to properly locate detected microseismic events. Similarly, once the tool string has been oriented, the initial log-derived isotropic velocity model must be calibrated for anisotropy. Though a fully 3D velocity model describing the relevant geology and rock physics is preferable, the velocity model used for microseismic monitoring is most often ID or, at best, 2D (i.e., ID with dip and azimuth).
机译:通过基于井下的微震监测作业,获得精确映射的斜面位置和相关源参数取决于校准过程的正确性。通常基于井下的被动微震监测需要使用有线电缆将一个或多个3C传感器阵列降低到一个或多个监测井筒中的适当深度。在此过程中,容纳三个组件传感器的每个班车可能旋转(Le Calvez等,2005,Bulant等,2006)。因此,使用已知位置的一个或多个源的刀具取向对于正确定位检测到的微震事件至关重要。类似地,一旦刀具串已定向,必须校准初始日志导出的各向同性速度模型以进行各向异性。尽管描述了相关地质和岩石物理学的完全3D速度模型是优选的,但是用于微震监测的速度模型通常是ID或最佳,2D(即,具有倾角和方位角的ID)。

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