Blar i NTNU Open på forfatter "Omre, Henning"
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Bayesian inference for Markov mesh models – applied to inversion of seismic data
Luo, Xin (Doctoral theses at NTNU;2019:16, Doctoral thesis, 2018)To characterize a petroleum reservoir there are different types of data available, for example, seismic data and observations in wells. In this scenario, it is natural to adopt a Bayesian framework to incorporate observations ... -
Bayesian Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction
Fjeldstad, Torstein Mæland; Omre, Henning (Peer reviewed; Journal article, 2019)The efficient assessment of convolved hidden Markov models is discussed. The bottom layer is defined as an unobservable categorical first-order Markov chain, whereas the middle layer is assumed to be a Gaussian spatial ... -
Bayesian inversion of seismic data using multimodal selection Gaussian prior models
Forberg, Ole Bernhard (Doctoral theses at NTNU;2021:395, Doctoral thesis, 2021) -
Bayesian Inversion of Time-Lapse Seismic AVO Data for Multimodal Reservoir Properties
Forberg, Ole Bernhard; Grana, Dario; Omre, Henning (Peer reviewed; Journal article, 2021)We consider time-lapse seismic amplitude versus offset (AVO) inversion for the reservoir properties porosity and water saturation, with a focus on monitoring the evolution of water saturation in a dynamic setting of ongoing ... -
Bayesian seismic amplitude variation with offset inversion for reservoir variables with bimodal spatial histograms
Forberg, Ole Bernhard; Kjøsnes, Øyvind; Omre, Henning (Peer reviewed; Journal article, 2021)A Bayesian seismic amplitude versus offset (AVO) inversion scheme with a laterally coupled prior model for porosity, water saturation, and volume of clay is proposed. A 2-D section and a 3-D volume of an oil reservoir are ... -
Bayesian Seismic AVO Inversion Using a Laterally Coupled Multimodal Prior Model
Forberg, Ole Bernhard; Kjøsnes, Øyvind Andre Gjerde; Omre, Henning (Peer reviewed; Journal article, 2022)A Bayesian seismic amplitude versus offset (AVO) inversion scheme with a laterally coupled prior model for porosity, water saturation, and volume of clay is proposed. A 2-D section and a 3-D volume of an oil reservoir are ... -
Bayesian spatial inversion and conjugate selection Gaussian prior models
Omre, Henning; Rimstad, Kjartan (Peer reviewed; Journal article, 2021)We study conjugate prior models in Bayesian spatial inversion. The spatial Kriging model may be phrased in a conjugate Bayesian inversion setting with a Gaussian prior model and a Gauss-linear likelihood function, resulting ... -
Cone penetration data classification by Bayesian inversion with a Hidden Markov model
Krogstad, A.; Depina, Ivan; Omre, Henning (Journal article; Peer reviewed, 2018)This study examines the application of the Hidden Markov model (HMM) to the soil classification based on Cone Penetration Test (CPT) measurements. The HMM is formulated in the Bayesian framework and composed of a Markov ... -
Data Assimilation in Spatio-Temporal Models with Non-Gaussian Initial States—The Selection Ensemble Kalman Model
Conjard, Maxime; Omre, Henning (Peer reviewed; Journal article, 2020)Assimilation of spatio-temporal data poses a challenge when allowing non-Gaussian features in the prior distribution. It becomes even more complex with nonlinear forward and likelihood models. The ensemble Kalman model and ... -
Identifying Soil Heat Dynamics
Auestad, Øyvind Stormark (Master thesis, 2020)Vi har studert en Gaussisk prosess for å modellere varmeflyt i jord. Prosessen er den stasjonære løsningen på et lineært stokstisk system basert på varmeledningsligningen med additiv støy. Med temperaturmålinger rundt ... -
Inference and categorical Bayesian inversion of convolved hidden Markov models applied to geophysical observations
Lindberg, David Volent (Doctoral Theses at NTNU, 1503-8181; 2014:359, Doctoral thesis, 2014) -
Inversion of well logs into lithology classes accounting for spatial dependencies by using hidden markov models and recurrent neural networks
Tian, Miao; Omre, Henning; Xu, Huaimin (Journal article; Peer reviewed, 2021)Lithology is a crucial factor in reservoir characterization. Due to the limited availability of cores, the classes of the subsurface lithologies in boreholes need to be predicted from indirect measurements like well logs. ... -
A one-step Bayesian inversion framework for 3D reservoir characterization based on a Gaussian mixture model-A Norwegian Sea demonstration
Fjeldstad, Torstein; Avseth, Per Åge; Omre, Henning (Peer reviewed; Journal article, 2021)We have developed a one-step approach for Bayesian prediction and uncertainty quantification of lithology/fluid classes, petrophysical properties, and elastic attributes conditional on prestack 3D seismic amplitude-varia ... -
Reduction of Dimensionality in Spatiotemporal Models
Sætrom, Jon (Doctoral Theses at NTNU, 1503-8181; 2010:193, Doctoral thesis, 2010) -
The Selection Kalman Model - Data assimilation for spatio-temporal variables with multimodal spatial histograms
Conjard, Maxime Michel Georges (Doctoral theses at NTNU;2020:212, Doctoral thesis, 2021) -
The Social and Spiritual Situation in Lilleby – A Statistical Simulation Study with a Questionnaire Survey
Viste, Bergitte (Master thesis, 2020)Oslo Monitor 1.0 ble publisert i januar 2018 av Tankesmien Skaperkraft. Rapporten beskriver den åndelige situasjonen, den sosiale smerten og de kulturelle utfordringene i Oslo. Data presentert i rapporten tildeles en ... -
Tracking of Horizons in Seismic Data Using a Hidden Markov Model
Henriksen, Sindre (Master thesis, 2020)Automatisert tolkning av seismisk data muligjør kartlegging av undergrunnen til lave kostnader. I denne tesen definerer vi en skjult Markov model for å forklare hvordan geologiske horisonter propagerer gjennom undergrunnen, ...