| Bayesian lithology and fluid prediction from seismic prestack data A Buland, O Kolbjørnsen, R Hauge, Ø Skjæveland, K Duffaut Geophysics 73 (3), C13-C21, 2008 | 172 | 2008 |
| Rapid spatially coupled AVO inversion in the Fourier domain A Buland, O Kolbjørnsen, H Omre Geophysics 68 (3), 824-836, 2003 | 121 | 2003 |
| Sensitivity of the impact of geological uncertainty on production from faulted and unfaulted shallow-marine oil reservoirs: objectives and methods T Manzocchi, JN Carter, A Skorstad, B Fjellvoll, KD Stephen, JA Howell, ... Petroleum Geoscience 14 (1), 3-15, 2008 | 115 | 2008 |
| Bayesian inversion of CSEM and magnetotelluric data A Buland, O Kolbjørnsen Geophysics 77 (1), E33-E42, 2012 | 73 | 2012 |
| Facies modeling using a Markov mesh model specification M Stien, O Kolbjørnsen Mathematical Geosciences 43, 611-624, 2011 | 58 | 2011 |
| A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties M Jullum, O Kolbjørnsen Geophysics 81 (3), R75-R87, 2016 | 51 | 2016 |
| Bayesian Monte Carlo method for seismic predrill prospect assessment H Kjønsberg, R Hauge, O Kolbjørnsen, A Buland Geophysics 75 (2), O9-O19, 2010 | 33 | 2010 |
| Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction O Kolbjørnsen, A Buland, R Hauge, P Røe, AO Ndingwan, E Aker Geophysics 85 (3), R207-R221, 2020 | 29 | 2020 |
| Markov mesh simulations with data conditioning through indicator kriging H Kjønsberg, O Kolbjørnsen Proceedings of the 8th International Geostatistics Congress, Santiago, Chile, 2008 | 28 | 2008 |
| Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction TA Larsen Greiner, JE Lie, O Kolbjørnsen, A Kjelsrud Evensen, ... Geophysics 87 (2), V59-V73, 2022 | 25 | 2022 |
| Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior H Hammer, O Kolbjørnsen, H Tjelmeland, A Buland Geophysical Prospecting 60 (3), 500-515, 2012 | 25 | 2012 |
| Bayesian neural networks for virtual flow metering: An empirical study B Grimstad, M Hotvedt, AT Sandnes, O Kolbjørnsen, LS Imsland Applied Soft Computing 112, 107776, 2021 | 24 | 2021 |
| Cross-streamer wavefield reconstruction through wavelet domain learning TA Larsen Greiner, V Hlebnikov, JE Lie, O Kolbjørnsen, ... Geophysics 85 (6), V457-V471, 2020 | 22 | 2020 |
| Bayesian dix inversion A Buland, O Kolbjørnsen, AJ Carter Geophysics 76 (2), R15-R22, 2011 | 22 | 2011 |
| Combined effects of structural, stratigraphic and well controls on production variability in faulted shallow-marine reservoirs A Skorstad, O Kolbjørnsen, T Manzocchi, JN Carter, JA Howell Petroleum Geoscience 14 (1), 45-54, 2008 | 21 | 2008 |
| Theory of the cloud transform for applications O Kolbjørnsen, P Abrahamsen Geostatistics Banff 2004, 45-54, 2005 | 18 | 2005 |
| Method of modelling a subterranean region of the earth by performing a bayesian inversion O Kolbjørnsen, R Hauge, A Buland US Patent 9,069,100, 2015 | 17 | 2015 |
| Using multiple grids in Markov mesh facies modeling O Kolbjørnsen, M Stien, H Kjønsberg, B Fjellvoll, P Abrahamsen Mathematical Geosciences 46, 205-225, 2014 | 16 | 2014 |
| Sensitivity of oil production to petrophysical heterogeneities A Skorstad, O Kolbjørnsen, B Fjellvoll, J Howell, T Manzocchi, JN Carter Geostatistics Banff 2004, 723-730, 2005 | 15 | 2005 |
| Modification of the SNESIM algorithm M Stien, P Abrahamsen, R Hauge, O Kolbjørnsen EAGE Conference on Petroleum Geostatistics, cp-32-00033, 2007 | 14 | 2007 |
