P. Wu and . Gauthier, exploitation du réservoir, différents types de données sont donc rassemblés et confrontés pourévalueràpourévaluerpourévaluerà la fois les caractéristiques des fractures individuelles et celle des familles de fractures qui composent le réseau global : leur localisation, orientation, dimensions, ouverture, remplissage, ainsi que leur densité et organisation hiérarchique On peut classer les données de fractures en deux grandes catégories : (1) les données directes mesurables sur le champ, et (2) les données indirectes, d'origine géophysique, structurale ou dynamique. ConjointementàConjointement`Conjointementà l'analyse géométrique des données directes, les données indirectes de facturation, doiventêtredoiventêtre analysées et calibrées aux données directes pour contraindre l'espace inter-puits (Ouenes, 2000.

. Dans-un-premier and . Temps, les aspects géométriques des fractures et des familles de fractures sont revus ( §1.3.1) Ensuite, nous présentons les principales sources de données de fracturation , directes et indirectes ( §1.3.2) Cette partie est finalement illustrée par uné etude du socle granitique fracturé du réservoir géothermique de Soultz, 2010.

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R. Aguilera, Geologic and engineering aspect of naturally fractured reservoirs. CSEG Recorder, pp.44-49, 2003.

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G. B. Arpat and J. K. Et-caers, Conditional Simulation with Patterns, Mathematical Geology, vol.20, issue.3, pp.177-203, 2007.
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C. Atkinson and R. Et-craster, Theoretical aspects of fracture mechanics, Progress in Aerospace Sciences, pp.1-83, 1995.
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G. Baecher, H. Einstein, and N. Et-lanney, Statistical descriptions of rock properties and sampling, 18th U.S. Symposium on Rock Mechanics, pp.5-6, 1977.

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T. Bai and D. Et-pollard, Fracture spacing in layered rocks: a new explanation based on the stress transition, Journal of Structural Geology, vol.22, issue.1, pp.43-57, 2000.
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R. Baker and F. Et-kuppe, Reservoir Characterization for Naturally Fractured Reservoirs, SPE Annual Technical Conference and Exhibition, pp.843-854, 2000.
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R. Basquet, C. Cohen, and B. Et-bourbiaux, Fracture Flow Property Identification: An Optimized Implementation of Discrete Fracture Network Models, SPE Middle East Oil and Gas Show and Conference, pp.12-15, 2005.
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S. Bergbauer, T. Mukerji, and P. Et-hennings, Improving curvature analyses of deformed horizons using scale-dependent filtering techniques, AAPG Bulletin, vol.87, issue.8, pp.1255-1272, 2003.
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S. Bergbauer and D. Et-pollard, A new conceptual fold-fracture model including prefolding joints, based on the Emigrant Gap anticline, Wyoming, Geological Society of America Bulletin, vol.116, issue.3, pp.294-307, 2004.
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F. Bonneau, V. Henrion, and P. Et-collon-drouaillet, Genetic-like modeling of karst systems, Proceedings of the 30th Gocad Meeting, 2010.

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S. Bordas, T. Rabczuck, and Z. Et-goangseup, Three-dimensional crack initiation, propagation, branching and junction in non-linear materials by an extended meshfree method without asymptotic enrichment, Engineering Fracture Mechanics, vol.75, issue.5, pp.943-960, 2008.
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O. Bour and P. Davy, Clustering and size distributions of fault patterns: Theory and measurements, Geophysical Research Letters, vol.1515, issue.2, pp.2001-2004, 1999.
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O. Bour, P. Davy, and C. Darcel, A statistical scaling model for fracture network geometry, with validation on a multiscale mapping of a joint network (Hornelen Basin, Norway), Journal of Geophysical Research, vol.10, issue.23, pp.1-11, 2002.
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S. Bourne, F. Brauckmann, and L. Rijkels, Predictive modelling of naturally fractured reservoirs using geomechanics and flow simulation, Abu Dhabi International Petroleum Exhibition and Conference, pp.1-10, 2000.
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S. Bourne and E. Et-willemse, Elastic stress control on the pattern of tensile fracturing around a small fault network at Nash Point, UK, Journal of Structural Geology, vol.23, issue.11, pp.1753-1770, 2001.
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S. Broadbent and J. Et-hammersley, Percolation Processes I. Crystals and Mazes, Proceedings of the Cambridge Philosophical Society, pp.629-641, 1957.

M. Cacas, E. Ledoux, and G. De-marsily, Modeling fracture flow with a stochastic discrete fracture network: calibration and validation: 1. The flow model, Water Resources Research, vol.26, issue.4485, pp.479-489, 1990.
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N. Cardozo, R. Allmendinger, and J. Et-morgan, Influence of mechanical stratigraphy and initial stress state on the formation of two fault propagation folds, Journal of Structural Geology, vol.27, issue.11, pp.1954-1972, 2005.
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N. Cardozo, K. Bhalla, and A. Zehnder, Mechanical models of fault propagation folds and comparison to the trishear kinematic model, Journal of Structural Geology, vol.25, issue.1, pp.1-18, 2003.
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C. Casciano, L. Ruvo, and B. Volpi, Well test simulation through Discrete Fracture Network modelling in a fractured carbonate reservoir, Petroleum Geoscience, vol.10, issue.4, pp.331-342, 2004.
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J. Chiì-es, Stochastic modeling of natural fractured media : a review, Geostatistics banff, 2004.

J. Chiì-es and G. Et-de-marsily, Flow and Contaminant Transport in Fractured Rock Stochastic models of fracture systems and their use in flow and transport modeling, pp.169-236, 1993.

J. Chiì-es and P. Et-delfiner, Geostatistics : Modeling Spatial Uncertainty, Series in Probability and Statistics, 1999.

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P. Cowie, D. Sornette, and C. Et-vanneste, Multifractal scaling properties of a growing fault population, Geophysical Journal International, vol.351, issue.2, pp.457-469, 1995.
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D. Dreuzy, J. Et-erhe, and J. , Efficient algorithms for the determination of the connected fracture network and the solution to the steady-state flow equation in fracture networks, Computers & Geosciences, vol.29, issue.1, pp.107-111, 2003.
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W. Dreybrodt and F. Et-gabrovsek, Basic processes and mechanisms governing the evolution of karst. Speleogenesis and Evolution of Karst Aquifers, The Virtual Scientific Journal, 2003.

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P. Durand-riard, G. , and C. P. Et-muron, Balanced restoration of geological volumes with relaxed meshing constraints, Computers & Geosciences, vol.36, issue.4, pp.441-452, 2010.
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E. Ouahed, A. Tiab, D. Et-mazouzi, and A. , Application of artificial intelligence to characterize naturally fractured zones in Hassi Messaoud Oil Field, Algeria, Journal of Petroleum Science and Engineering, vol.49, issue.3-4, pp.122-141, 2005.
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X. Emery and C. Et-lantuéjoul, TBSIM: A computer program for conditional simulation of three-dimensional Gaussian random fields via the turning bands method, Computers & Geosciences, vol.32, issue.10, pp.1615-1628, 2006.
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T. Engelder and D. Et-peacock, Joint development normal to regional compression during flexural-flow folding: the Lilstock buttress anticline, Somerset, England, Journal of Structural Geology, vol.23, issue.2-3, pp.259-277, 2001.
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M. Fischer and M. Et-wilkerson, Predicting the orientation of joints from fold shape: Results of pseudo???three-dimensional modeling and curvature analysis, Geology, vol.28, issue.1, pp.15-18, 2000.
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M. Fischer and M. Et-wilkerson, Predicting the orientation of joints from fold shape: Results of pseudo???three-dimensional modeling and curvature analysis, Geology, vol.28, issue.1, pp.15-18, 2000.
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B. Gauthier, M. Garcia, and J. Et-daniel, Integrated Fractured Reservoir Characterization: A Case Study in a North Africa Field, SPE Reservoir Evaluation & Engineering, vol.5, issue.04, pp.284-294, 2002.
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L. Germanovich and D. Et-asthakov, Fracture closure in extension and mechanical interaction of parallel joints, Journal of Geophysical Research: Solid Earth, vol.14, issue.4, pp.1-22, 2004.
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J. Geyer and S. Et-nemat-nasser, Experimental investigation of thermally induced interacting cracks in brittle solids, International Journal of Solids and Structures, vol.18, issue.4, pp.349-356, 1982.
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P. Goovaerts, Geostatistics for natural resources evaluation Applied Geostatistics, 1997.

F. Gray and K. Et-head, Fracture detection in the Manderson Field : a 3D AVAZ case history. The Leading Edge, pp.1214-1221, 2000.

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M. Gross, The origin and spacing of cross joints: examples from the Monterey Formation, Santa Barbara Coastline, California, Journal of Structural Geology, vol.15, issue.6, pp.737-751, 1993.
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