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.

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