publications

2023

1. 

   Machine Learning for Bayesian Experimental Design in the Subsurface

   Robin Thibaut

   Ghent University, Mar 2023

   To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of. Ronald A. Fisher (1890-1962)

   Bib PDF

   @phdthesis{thibaut_phd_2023,
     author = {Thibaut, Robin},
     month = mar,
     school = {Ghent University},
     title = {Machine Learning for Bayesian Experimental Design in the Subsurface},
     year = {2023},
     doi = {10.22541/essoar.168057575.58936022/v1},
     url = {https://doi.org/10.22541/essoar.168057575.58936022/v1},
     note = {To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of. Ronald A. Fisher (1890-1962)},
   }

2022

1. 

   Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework

   Robin Thibaut, Nicolas Compaire, Nolwenn Lesparre, and 3 more authors

   Water Resources Research, Nov 2022

   Bib HTML

   @article{Thibaut2022,
     author = {Thibaut, Robin and Compaire, Nicolas and Lesparre, Nolwenn and Ramgraber, Maximilian and Laloy, Eric and Hermans, Thomas},
     doi = {10.1029/2022WR033045},
     issn = {0043-1397},
     issue = {11},
     journal = {Water Resources Research},
     month = nov,
     title = {Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework},
     volume = {58},
     url = {https://onlinelibrary.wiley.com/doi/10.1029/2022WR033045},
     year = {2022},
   }

2021

1. 

   A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area

   Robin Thibaut, Eric Laloy, and Thomas Hermans

   Journal of Hydrology, Dec 2021

   Bib HTML

   @article{thibaut_new_2021,
     author = {Thibaut, Robin and Laloy, Eric and Hermans, Thomas},
     doi = {10.1016/j.jhydrol.2021.126903},
     issn = {00221694},
     journal = {Journal of Hydrology},
     keywords = {Bayesian Evidential Learning,Experimental design,Groundwater modelling,Machine learning},
     month = dec,
     pages = {126903},
     title = {A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area},
     volume = {603},
     url = {https://linkinghub.elsevier.com/retrieve/pii/S0022169421009537},
     year = {2021},
   }

2. 

   Imaging the Structure and the Saltwater Intrusion Extent of the Luy River Coastal Aquifer (Binh Thuan, Vietnam) Using Electrical Resistivity Tomography

   Diep Cong-Thi, Linh Pham Dieu, Robin Thibaut, and 4 more authors

   Water, Jun 2021

   Bib HTML

   @article{cong-thi_imaging_2021,
     author = {Cong-Thi, Diep and Dieu, Linh Pham and Thibaut, Robin and Paepen, Marieke and Ho, Huu Hieu and Nguyen, Frédéric and Hermans, Thomas},
     doi = {10.3390/w13131743},
     issn = {2073-4441},
     issue = {13},
     journal = {Water},
     month = jun,
     pages = {1743},
     title = {Imaging the Structure and the Saltwater Intrusion Extent of the Luy River Coastal Aquifer (Binh Thuan, Vietnam) Using Electrical Resistivity Tomography},
     volume = {13},
     url = {https://www.mdpi.com/2073-4441/13/13/1743},
     year = {2021},
   }

3. 

   A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data

   Robin Thibaut, Thomas Kremer, Annie Royen, and 3 more authors

   Journal of Applied Geophysics, Apr 2021

   Bib HTML

   @article{thibaut_new_2021-1,
     author = {Thibaut, Robin and Kremer, Thomas and Royen, Annie and Ngun, Bun Kim and Nguyen, Frédéric and Hermans, Thomas},
     doi = {10.1016/j.jappgeo.2021.104286},
     issn = {09269851},
     journal = {Journal of Applied Geophysics},
     month = apr,
     pages = {104286},
     title = {A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data},
     volume = {187},
     url = {https://linkinghub.elsevier.com/retrieve/pii/S0926985121000331},
     year = {2021},
   }