Publications

• 2022

  Surrogate-assisted inversion for large-scale history matching

  Comparative study between projection-based reduced-order modeling and deep neural network
  Cong Xiao / Hai-Xiang Lin / Olwijn Leeuwenburgh / Arnold Heemink

• 2021

  Conditioning of deep-learning surrogate models to image data with application to reservoir characterization

  Cong Xiao / Olwijn Leeuwenburgh / Hai-Xiang Lin / Arnold Heemink

• 2021

  Editorial

  Data Science Applications to Inverse and Optimization Problems in Earth Science
  Olwijn Leeuwenburgh / Alexandre A. Emerick / Behnam Jafarpour / Dongxiao Zhang / Xiaodong Luo

• 2021

  Efficient estimation of space varying parameters in numerical models using non-intrusive subdomain reduced order modeling

  Cong Xiao / Olwijn Leeuwenburgh / Hai Xiang Lin / Arnold Heemink

• 2021

  Quantitative assessment of monitoring strategies for conformance verification of CO₂ storage projects

  E. G.D. Barros / O. Leeuwenburgh / S. P. Szklarz

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