Blar i NTNU Open på forfatter "Kolbjørnsen, Odd"
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Bayesian neural networks for virtual flow metering: An empirical study
Grimstad, Bjarne Andre; Hotvedt, Mathilde; Sandnes, Anders Thoresen; Kolbjørnsen, Odd; Imsland, Lars Struen (Peer reviewed; Journal article, 2021)Recent works have presented promising results from the application of machine learning (ML) to the modeling of flow rates in oil and gas wells. Encouraging results and advantageous properties of ML models, such as ... -
Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior
Hammer, Hugo Lewi; Kolbjørnsen, Odd; Tjelmeland, Håkon; Buland, Arild (Journal article; Peer reviewed, 2012) -
Multi-task learning for virtual flow metering
Sandnes, Anders Thoresen; Grimstad, Bjarne Andre; Kolbjørnsen, Odd (Peer reviewed; Journal article, 2021)Virtual flow metering (VFM) is a cost-effective and non-intrusive technology for inferring multiphase flow rates in petroleum assets. Inferences about flow rates are fundamental to decision support systems that operators ... -
Nonlinear Topics in the Bayesian Approach to Inverse Problems with Applications to Seismic Inversion
Kolbjørnsen, Odd (Dr. ingeniøravhandling, 0809-103X; 2002:55, Doctoral thesis, 2002)Paper I considers piecewise affine inverse problems. This is a large group of nonlinear inverse problems. Problems that obey certain variational structures are of this type. In inverse problems it is frequently such that ... -
Rapid Seismic Inversion for Isolated Singularities
Førland, Maren Drange (Master thesis, 2008)Thin layers can cause problems in inversion algorithms as the material parameters and the thickness of the layer are inseparable. Here a thin layer model is developed where a thin sand layer embedded in shale is considered ...