Blar i UiS Brage på forfatter "Luo, Xiaodong"

Viser treff 1-5 av 5

    • A decision support system for multi-target geosteering 

      Alyaev, Sergey; Suter, Erich; Bratvold, Reidar Brumer; Hong, Aojie; Luo, Xiaodong; Fossum, Kristian (Journal article; Peer reviewed, 2019-12)
      Geosteering is a sequential decision process under uncertainty. The goal of geosteering is to maximize the expected value of the well, which should be defined by an objective value-function for each operation. In this paper ...

    • Data Assimilation Methods in Seismic Inversion 

      Li, Geng (Masteroppgave/UIS-TN-IER/2018;, Master thesis, 2018-06)
      Full-waverform inversion (FWI) is a powerful tool for getting high resolution images from seismic data to understand formations and the reservoir characteristics. But the inversion problems usually do not have unique ...

    • Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother 

      Luo, Xiaodong; Chalub Cruz, William (Peer reviewed; Journal article, 2022)
      This work investigates an ensemble-based workflow to simultaneously handle generic, nonlinear equality and inequality constraints in reservoir data assimilation problems. The proposed workflow is built upon a recently ...

    • Hyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother 

      Luo, Xiaodong; Chalub Cruz, William; Zhang, Xin-Lei; Xiao, Heng (Peer reviewed; Journal article, 2023)
      This work aims to help improve the performance of an iterative ensemble smoother (IES) in reservoir data assimilation problems, by introducing a data-driven procedure to optimize the choice of certain algorithmic ...

    • Joint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study 

      Chalub Cruz, William; Luo, Xiaodong; Petvipusit, Kurt Rachares (Peer reviewed; Journal article, 2022-08)
      This work presents an ensemble-based workflow to simultaneously assimilate multiple types of field data in a proper and consistent manner. The aim of using multiple field datasets is to improve the reliability of estimated ...