• Real-Time Minimization of Mechanical Specific Energy with Multivariable Extremum Seeking 

      Nystad, Magnus; Aadnøy, Bernt Sigve; Pavlov, Alexey (Peer reviewed; Journal article, 2021)
      Drilling more efficiently and with less non-productive time (NPT) is one of the key enablers to reduce field development costs. In this work, we investigate the application of a data-driven optimization method called ...
    • Selection of Optimal Well Trajectory Using Multi-Objective Genetic Algorithm and TOPSIS Method 

      Yavari, Hossein; Qajar, Jafar; Aadnøy, Bernt Sigve; Khosravanian, Rasool (Peer reviewed; Journal article, 2023)
      This study presents a novel approach for optimizing well paths in extended reach drilling (ERD) wells. Different trajectories can be used for ERD wells, each with its pros and cons. Previous research overlooked certain ...
    • Well Design With an Environmental Focus 

      Karlsen, Denise (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-08)
      The decisions made during well planning have mainly been focused on safety, cost efficiency and applicability of the design. As the climate have been getting more attention the past years, environment is now high up on the ...
    • Wellbore Collapse Failure Criteria and Drilling Optimization 

      Tranggono, Hadi (Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-15)
      Design and planning in drilling a well are a key for successful before to execute drilling operation. A good understanding of wellbore stability, design mud, casing, cementing, BHA & drillstring, drilling bit, hole cleaning ...