Blar i NORCE vitenarkiv på forfatter "Oliver, Dean"
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4D seismic history matching
Oliver, Dean; Fossum, Kristian; Bhakta, Tuhin; Sandø, Ivar; Nævdal, Geir; Lorentzen, Rolf Johan (Journal article; Peer reviewed, 2021)Reservoir simulation models are used to forecast future reservoir behavior and to optimally manage reservoir production. These models require specification of hundreds of thousands of parameters, some of which may be ... -
Fast robust optimization using bias correction applied to the mean model
Wang, Lingya; Oliver, Dean (Peer reviewed; Journal article, 2020)Ensemble methods are remarkably powerful for quantifying geological uncertainty. However, the use of the ensemble of reservoir models for robust optimization (RO) can be computationally demanding. The straightforward ... -
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models
Oliver, Dean (Peer reviewed; Journal article, 2022)The choice of a prior model can have a large impact on the ability to assimilate data. In standard applications of ensemble-based data assimilation, all realizations in the initial ensemble are generated from the same ... -
Importance Weighting in Hybrid Iterative Ensemble Smoothers for Data Assimilation
Ba, Yuming; Oliver, Dean (Peer reviewed; Journal article, 2024)Because it is generally impossible to completely characterize the uncertainty in com- plex model variables after assimilation of data, it is common to approximate the uncertainty by sampling from approximations of the ... -
Improving Sequential Decisions – Efficiently Accounting for Future Learning
Wang, Lingya; Oliver, Dean (Peer reviewed; Journal article, 2021)In sequential field development planning, past decisions not only directly affect the maximum achievable expected NPV but also influence the future information that can be used to reduce geological uncertainty. To act ... -
Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability
Oliver, Dean; Raanes, Patrick N.; Skorstad, Arne; Sætrom, Jon (Journal article; Peer reviewed, 2025)Large amounts of energy are consumed and greenhouse gasses are emitted in the process of extracting oil and gas from offshore fields. We investigate methods for solving the multi-objective production optimization for ... -
Quantifying prior model complexity for subsurface reservoir models
Mioratina, Nomenjanahary Tanteliniaina; Oliver, Dean (Peer reviewed; Journal article, 2023)In Bayesian approaches to history matching for subsurface inference, the prior model specifies the uncertain model parameters and the joint probability of those parameters before incorporating production-related data. A ... -
Randomized maximum likelihood based posterior sampling
Ba, Yuming; de Wiljes, Jana; Oliver, Dean; Reich, Sebastian (Peer reviewed; Journal article, 2021)Minimization of a stochastic cost function is commonly used for approximate sampling in high-dimensional Bayesian inverse problems with Gaussian prior distributions and multimodal posterior distributions. The density of ... -
Robust Optimization Using the Mean Model with Bias Correction
Oliver, Dean (Journal article; Peer reviewed, 2024)Optimization of the expected outcome for subsurface reservoir management when the properties of the subsurface model are uncertain can be costly, especially when the outcomes are predicted using a numerical reservoir flow ...