An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling

Shaoxing Mo, Xiaoqing Shi, Dan Lu, Ming Ye, Jichun Wu. An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling. Computers & Geosciences, 125:69-77, 2019. [doi]

@article{MoSLYW19,
  title = {An adaptive Kriging surrogate method for efficient uncertainty quantification with an application to geological carbon sequestration modeling},
  author = {Shaoxing Mo and Xiaoqing Shi and Dan Lu and Ming Ye and Jichun Wu},
  year = {2019},
  doi = {10.1016/j.cageo.2019.01.012},
  url = {https://doi.org/10.1016/j.cageo.2019.01.012},
  researchr = {https://researchr.org/publication/MoSLYW19},
  cites = {0},
  citedby = {0},
  journal = {Computers & Geosciences},
  volume = {125},
  pages = {69-77},
}