By Todd H. Otis
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Second, we will illustrate how these kind of data are processed in order to extract the fracture representative parameters needed for stochastic simulation of fracture network at the wellbore scale: spatial distribution along the cored/logged interval, number of fracture sets, representative orientation and statistical distribution of each set, distribution laws of the fracture length and relevant minimum radii and fracture aperture estimate. Fracture porosity evaluation, matrix block size, fracture network connectivity at wellbore scale constitute the outputs of such simulations: they are used to better characterize a fractured reservoir and to describe its behaviour.
FERRACCIOLI, L. & BRANCOLINI A. 1997. Calculation of constituent porosity in a dual porosity matrix. MRI and image analysis integration. In: Proceedings of the 1997 International Symposium of the Society of Core Analysts, Calgary, 7-10 Sept. 1997. DATA ANALYSIS, PROCESSING AND 3D FRACTURE REISS, L. H. 1974. The Reservoir Engineering Aspects of Fractured Formations. Istitut francais du petrole, Editions Technip, Paris. , SANTARELLI, F. J. & BEZZOLA, C. 1997. Characterization of conductive fractures while drilling, SPE European Formation Damage Conference, The Hague, Netherlands, June 2-3, Paper SPE 38177.
Journal of Applied Physics, 12, The Log Analyst, 355-369. 155-164. 26 SNEHA K. CHANCHANI ETAL. MARDIA, R. V. 1972. Academic Press, Statistics of Directional Data. London. MONTGOMERY, S. L. & MOREA, M. F. 2001. Antelope shale (Moneterey Formation), Buena Vista Hills field: Advanced reservoir characterization to evaluate CO2 injection for enhanced oil recovery, AAPG Bulletin, 85, 561-585. Moos, D. & ZOBACK, M. D. 1990. Utilization of wellbore failure to constrain the orientation and magnitude of crustal stresses: Application to Continental, Deep Sea Drilling Project, and Ocean Drilling Program boreholes.