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A case study of azimuthal AVO analysis with anisotropic spreading correction

机译:各向异性扩展校正的方位AVO分析案例研究

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Geomechanical properties of tight, low-porosity reservoirs are largely governed by natural fracture networks. Hence, reliable estimation of fracture density and orientation is extremely important for cost-effective hydraulic completion and hydrocarbon production. Direct information about fracturing can be obtained using borehole methods, such as image log analysis, which provide estimates of fracture counts and orientations on various scales. The main shortcoming of borehole measurements is that they are sensitive only to formation properties in the immediate vicinity of the well. In some cases, the spatial distribution of fractures can be inferred from fault maps obtained by coherence analysis of surface seismic data. However, the correlation between areas of high fracture density and fault locations is not always straightforward.
机译:致密,低孔隙度储层的地质力学性质在很大程度上受天然裂缝网络支配。因此,可靠地估算裂缝密度和方向对于经济高效的水力完井和油气生产极为重要。可以使用钻孔方法(例如图像测井分析)获得有关压裂的直接信息,该方法可提供各种规模的压裂计数和方向估算。钻孔测量的主要缺点是它们仅对紧邻井眼的地层特性敏感。在某些情况下,可以从通过地表地震数据的相干分析获得的断层图推断裂缝的空间分布。但是,高裂缝密度区域与断层位置之间的相关性并不总是那么直接。

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