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Fractured reservoir analysis leading to fractured reservoir simulation requires integration of multiple data types spanning multiple fracture scales of observation using a standardized fractured reservoir workflow.  Diverse data types utilized include: core analysis, borehole image log interpretation, seismic attributes, structural geology (stress, strain and curvature), in situ stress analysis, sonic shear wave anisotropy and Stoneley Wave analysis, remote sensing and multiple well tests.  Data generated in this workflow include: fracture origin, fracture orientation, fracture intensity, fracture intensity curves or fracture density curves, fracture aperture or fracture width, fracture morphology distribution, fracture porosity and fracture permeability, all leading to the creation of a static conceptual fracture model.  This coupled with the dynamic conceptual fracture model is the basis for fracture modeling leading to fractured reservoir simulation using single-porosity, dual-porosity, or dual-porosity dual-permeability models.  Interpretation of these simulations is interpreted in light of the fractured reservoir classification involving Type 1, Type 2 Type 3 and Type 4 fractured reservoirs.  Evaluation of natural fracture systems for exploration utilizes fracture prediction based on mechanical predictions involving brittle vs ductile behavior, fracture toughness, static and dynamic modulus, and utilizes composition, porosity and grain size control of fracture intensity and fracture flow as well as microseismic detection.