caa a22 4500 463177711 CHVBK 20180406164830.0 cr unu---uuuuu 170326e20070901xx s 000 0 eng 10.1007/s10596-007-9049-7 doi (NATIONALLICENCE)springer-10.1007/s10596-007-9049-7 Tran Nam School of Petroleum Engineering, The University of New South Wales, NSW 2052, Sydney, Australia aut Simulated annealing technique in discrete fracture network inversion: optimizing the optimization [Elektronische Daten] [Nam Tran] Simulated annealing (SA) has the capacity to handle complex problem of fracture heterogeneity. However, its applications to characterization and modeling of an actual discrete fracture network are limited. Borrowing the context of geothermal reservoirs (where extensive discrete fractures exist), this paper attempts to solve several key practical issues that persist in current models: objective function's (OF's) formulation, modification scheme, and stop criteria. The improvements are examined in a case study on an actual fracture outcrop, where results are compared with a current and advanced SA work. Springer Science+Business Media, Inc., 2007 Discrete fractures nationallicence Global optimization nationallicence Simulated annealing nationallicence Objective function nationallicence Modification scheme nationallicence Stopping criteria nationallicence Computational Geosciences Springer Netherlands 11/3(2007-09-01), 249-260 1420-0597 11:3<249 2007 11 10596 https://doi.org/10.1007/s10596-007-9049-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10596-007-9049-7 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Tran Nam School of Petroleum Engineering, The University of New South Wales, NSW 2052, Sydney, Australia aut NATIONALLICENCE 773 0- Computational Geosciences Springer Netherlands 11/3(2007-09-01), 249-260 1420-0597 11:3<249 2007 11 10596 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer