caa a22 4500 46317772X CHVBK 20180406164830.0 cr unu---uuuuu 170326e20071201xx s 000 0 eng 10.1007/s10596-007-9055-9 doi (NATIONALLICENCE)springer-10.1007/s10596-007-9055-9 Hybridization of the probability perturbation method with gradient information [Elektronische Daten] [Kent Johansen, Jef Caers, Satomi Suzuki] Geostatistically based history-matching methods make it possible to devise history-matching strategies that will honor geologic knowledge about the reservoir. However, the performance of these methods is known to be impeded by slow convergence rates resulting from the stochastic nature of the algorithm. It is the purpose of this paper to introduce a method that integrates qualitative gradient information into the probability perturbation method to improve convergence. The potential of the proposed method is demonstrated on a synthetic history-matching example. The results indicate that inclusion of qualitative gradient information improves the performance of the probability perturbation method. Springer Science+Business Media B.V., 2007 History matching nationallicence Hybrid method nationallicence Gradient nationallicence Probability perturbation nationallicence Johansen Kent IVC-SEP, Department of Chemical Engineering, Technical University of Denmark, Sølvtofs Plads B.229, Room 266, 2800, Kgs. Lyngby, Denmark aut Caers Jef Energy Resources Engineering Department, Stanford University, 367 Panama Street, Green Earth Sciences 065, 94305-2220, Stanford, CA, USA aut Suzuki Satomi Energy Resources Engineering Department, Stanford University, 367 Panama Street, Green Earth Sciences 065, 94305-2220, Stanford, CA, USA aut Computational Geosciences Springer Netherlands 11/4(2007-12-01), 319-331 1420-0597 11:4<319 2007 11 10596 https://doi.org/10.1007/s10596-007-9055-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10596-007-9055-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Johansen Kent IVC-SEP, Department of Chemical Engineering, Technical University of Denmark, Sølvtofs Plads B.229, Room 266, 2800, Kgs. Lyngby, Denmark aut NATIONALLICENCE 700 1- Caers Jef Energy Resources Engineering Department, Stanford University, 367 Panama Street, Green Earth Sciences 065, 94305-2220, Stanford, CA, USA aut NATIONALLICENCE 700 1- Suzuki Satomi Energy Resources Engineering Department, Stanford University, 367 Panama Street, Green Earth Sciences 065, 94305-2220, Stanford, CA, USA aut NATIONALLICENCE 773 0- Computational Geosciences Springer Netherlands 11/4(2007-12-01), 319-331 1420-0597 11:4<319 2007 11 10596 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer