caa a22 4500 463177622 CHVBK 20180406164829.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10596-006-9037-3 doi (NATIONALLICENCE)springer-10.1007/s10596-006-9037-3 A level-set corrector to an adaptive multiscale permeability prediction [Elektronische Daten] [Inga Berre, Martha Lien, Trond Mannseth] We consider the inverse problem of permeability estimation for two-phase porous-media flow. The novel approach is based on regularization by zonation, where the geometry and size of the regions are chosen adaptively during the optimization procedure. To achieve this, we have utilized level-set functions to represent the permeability. The available data are sparsely distributed in space; hence, it is reasonable to confine the estimation to coarse-scale structures. The level-set approach is able to alter the boundaries between regions of different permeability without strict restrictions on their shape; however, when the data are sparse, a reasonable initial guess for the permeability is required. For this task, we use adaptive multiscale permeability estimation, which has the potential of identifying main permeability variations. These are described by a piecewise constant function, where the constant values are attained on rectangular zones. In the current work, we develop a level-set corrector strategy, assuming adaptive multiscale permeability estimation as a predictor. Springer Science+Business Media, Inc., 2007 adaptive multiscale estimation nationallicence inverse problem nationallicence level-set representation nationallicence permeability estimation nationallicence regularization nationallicence two-phase flow nationallicence Berre Inga Department of Mathematics, University of Bergen, Johs. Brunsgt. 12, 5008, Bergen, Norway aut Lien Martha Centre for Integrated Petroleum Research (CIPR), University of Bergen, Realfagbygget, Allégaten 41, 5007, Bergen, Norway aut Mannseth Trond Centre for Integrated Petroleum Research (CIPR), University of Bergen, Realfagbygget, Allégaten 41, 5007, Bergen, Norway aut Computational Geosciences Kluwer Academic Publishers 11/1(2007-03-01), 27-42 1420-0597 11:1<27 2007 11 10596 https://doi.org/10.1007/s10596-006-9037-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10596-006-9037-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Berre Inga Department of Mathematics, University of Bergen, Johs. Brunsgt. 12, 5008, Bergen, Norway aut NATIONALLICENCE 700 1- Lien Martha Centre for Integrated Petroleum Research (CIPR), University of Bergen, Realfagbygget, Allégaten 41, 5007, Bergen, Norway aut NATIONALLICENCE 700 1- Mannseth Trond Centre for Integrated Petroleum Research (CIPR), University of Bergen, Realfagbygget, Allégaten 41, 5007, Bergen, Norway aut NATIONALLICENCE 773 0- Computational Geosciences Kluwer Academic Publishers 11/1(2007-03-01), 27-42 1420-0597 11:1<27 2007 11 10596 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer