• Fast robust optimization using bias correction applied to the mean model 

      Wang, Lingya; Oliver, Dean (Peer reviewed; Journal article, 2021)
      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 ...
    • Improving Sequential Decisions – Efficiently Accounting for Future Learning 

      Wang, Lingya; Oliver, Dean (Journal article; Peer reviewed, 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 ...
    • Quantifying prior model complexity for subsurface reservoir models 

      Mioratina, Nomenjanahary Tanteliniaina; Oliver, Dean (Journal article; Peer reviewed, 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 ...