Blar i Vitenskapelige publikasjoner (TN-IER) på forfatter "Bratvold, Reidar Brumer"

Viser treff 1-9 av 9

    • Application of machine learning to assess the value of information in polymer flooding 

      Tadjer, Mohamed Amine Amazigh; Bratvold, Reidar Brumer; Hong, Aojie; Hanea, Remus Gabriel (Peer reviewed; Journal article, 2021-12)
      In this work, we provide a more consistent alternative for performing value of information (VOI) analyses to address sequential decision problems in reservoir management and generate insights on the process of reservoir ...

    • Appraisal campaign selection based on the maximum value of sequential information 

      Morosov, Andre Luis; Bratvold, Reidar Brumer (Peer reviewed; Journal article, 2021-09)
      Field development projects generally demand large investments which are subject to geological uncertainty, hence projects can benefit from geological information obtained from appraisal wells before large capital commitment. ...

    • Debiasing probabilistic oil production forecasts 

      Nesvold, Erik; Bratvold, Reidar Brumer (Peer reviewed; Journal article, 2022)
      Exploration and production companies in the hydrocarbon industry have every interest in producing unbiased production forecasts at the time of the investment decision, since it is an intrinsic part of making oil field ...

    • Efficient Dimensionality Reduction Methods in Reservoir History Matching 

      Bratvold, Reidar Brumer; Hanea, Remus Gabriel (Peer reviewed; Journal article, 2021-05)
      Production forecasting is the basis for decision making in the oil and gas industry, and can be quite challenging, especially in terms of complex geological modeling of the subsurface. To help solve this problem, assisted ...

    • An interactive sequential-decision benchmark from geosteering 

      Alyaev, Sergey; Ivanova, Sofija; Holsaeter, Andrew Martin; Bratvold, Reidar Brumer; Bendiksen, Morten (Peer reviewed; Journal article, 2021)
      During drilling, to maximize future expected production of hydrocarbon resources, the experts commonly adjust the trajectory (geosteer) in response to new insights obtained through real-time measurements. Geosteering ...

    • Machine learning based decline curve analysis for short-term oil production forecast 

      Tadjer, Mohamed Amine Amazigh; Hong, Aojie; Bratvold, Reidar Brumer (Peer reviewed; Journal article, 2021-05)
      Traditional decline curve analyses (DCAs), both deterministic and probabilistic, use specific models to fit production data for production forecasting. Various decline curve models have been applied for unconventional ...

    • Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning 

      Bratvold, Reidar Brumer; Tadjer, Amine (Peer reviewed; Journal article, 2021-03)
      Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions and meet the Paris agreement’s climate target. To ensure that CCS is safe and successful, an efficient ...

    • Probability elicitation using geostatistics in hydrocarbon exploration 

      Morosov, Andre Luis; Bratvold, Reidar Brumer (Peer reviewed; Journal article, 2021)
      The exploratory phase of a hydrocarbon field is a period when decision-supporting information is scarce while the drilling stakes are high. Each new prospect drilled brings more knowledge about the area and might reveal ...

    • A sequential decision and data analytics framework for maximizing value and reliability of CO2 storage monitoring 

      Tadjer, Mohamed Amine Amazigh; Hong, Aojie; Bratvold, Reidar Brumer (Peer reviewed; Journal article, 2021-12)
      Carbon capture and sequestration (carbon capture and storage or CCS) represents a unique potential strategy that can minimize CO2 emissions in the atmosphere, and it creates a pathway toward a neutral carbon balance, which ...