• 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 ...
    • Robust Optimization for Sequential Field Development Planning 

      Wang, Lingya (Doctoral thesis, 2021-09-24)
      To achieve high profitability from an oil field, optimizing the field development strategy (e.g., well type, well placement, drilling schedule) before committing to a decision is critically important. The profitability at ...