Automated characterization of fracture conductivities from well tests inversion

71st European Association of Geoscientists and Engineers Conference and Exhibition 2009: Balancing Global Resources. Incorporating SPE EUROPEC 2009

Volumn 3, Issue , 2009, Pages 1639-1654

  Bruyelle, Jérémie ^a   Lange, Arnaud ^a  

^a IFP   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BRITTLENESS; COVARIANCE MATRIX; FRACTURE; HORIZONTAL WELLS; NUMERICAL METHODS; OPTIMIZATION; WELL TESTING;

COVARIANCE MATRIX ADAPTATION EVOLUTION STRATEGIES; DECOMPOSITION TECHNIQUE; FIELD-SCALE SIMULATION; FRACTURE CONDUCTIVITIES; GLOBAL SENSITIVITY; PRODUCTION METHODS; SENSITIVE PARAMETER; SURFACE RESPONSE METHODOLOGIES;

INVERSE PROBLEMS;

EID: 77149162398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/121172-ms     Document Type: Conference Paper

References (14)

1. Archer, G.E.B., Saltelli, A. and Sobol, I.M., 1997. Sensitivity measures, ANOVA-like techniques and the use of bootstrap. J. Statist. Comput. Simul. 58: 99-120.
2. Barenblatt, G.I., Zheltov Iu, P. and Kochina, I.N. 1960. Basic Concepts in the Theory of Seepage of Homogeneous Liquids in Fissured Rocks., J. Appl. Math., 24: 245-255.
3. Bourbiaux, B., Basquet, R., Cacas, M.C., Daniel, J.M. and Sarda S. 2002. An Integrated Workflow to Account for Multi-Scale Fractures in Reservoir Simulation Models: Implementation and Benefits. SPE 78489.
4. Cacas, M.C., Daniel, J.M., and Letouzey, J. 2001. Nested Geological Modelling of Naturally Fractured Reservoirs. Petroleum Geoscience, 7, S43-S52.
5. Cosentino, L., Coury, Y., Daniel, J.M., Manceau, E., Ravenne, C., Van Lingen P., Cole, J. and Sengul, M. 2001. Integrated Study of a Fractured Middle East Reservoir with Stratiform Super-K Intervals. SPE 68184.
6. Hansen, N. and Kern, S. 2004. Evaluating the CMA Evolution Strategy on Multimodal Test Functions. Proc., Parallel Problem Solving from Nature (PPSN VIII), Berlin: Springer, 282-291.
7. Hansen, N. and Ostermeier, A. 2001. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2): 159-195.
8. Hansen, N., Muller, S.D. and Koumoutsakos, P. 2003. Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evolutionary Computation, 11(1): 1-18.
9. Kern, S., Müller, S.D., Hansen, N., Büche, D., Ocenasek, J. and Koumoutsakos, P. 2004. Learning probability distributions in continuous evolutionary algorithms - a comparative review. Natural Computing, 3(1): 77-112.
10. Lange, A., Basquet, R. and Bourbiaux, B., 2004. Hydraulic Characterization of Faults and Fractures Using a Dual Medium Discrete Fracture Network Simulator. SPE 88675.
11. Nakache, J.P. and Confais, J., 2005. Approche pragmatique de la classification. Paris: Editions Technip.
12. Press, W.H., Teukolsky, S.A., Vetterling, W.T. and Flannery, B.P., 1992. Numerical Recipes in C: The Art of Scientific Computing (Second Edition). Cambridge University Press.
13. Sarda, S., Jeannin, L., Basquet, R. and Bourbiaux, B., 2001. Hydraulic Characterization of Fractured Reservoirs: Simulation on Discrete Fracture Models. SPE 66398.
14. Warren, J.E. and Root, P.J. 1963. The Behavior of Naturally Fractured Reservoirs. SPE Journal, 245.