ESR N° 15: Integration of dynamical hydrogeophysical data in a multiple-point geostatistical framework

 

Research Fellow : JORGE LOPEZ ALVIS

Find him on ResearchGate !

Host Institution : Applied Geophysics, University of Liege, Belgium

Objectives

Integrate time-lapse geophysical data sets, at an hourly or daily temporal resolution, into a geostatistical inverse framework to gain insight on transport processes and hydrogeological parameters distribution in the subsurface.

More details about ESR15-project:


Secondments:

  • 6 months at CSIC in Barcelona: 1/07/2019 to 1/01/2020
  • 2 months Aquale (31/03/2020-31/05/2020) and/or 2 months at Ghent University (31/03/2020-31/05/2020) ( The Coordinator officially notified the EU to add Ghent University as partner on the Project Officer recommendation.)

Tasks and methodology

Bayesian evidential learning (BEL) of data-prediction relationships will be applied using geophysical data and subsurface transport models. Within the BEL framework, probabilistic falsification will be used to check for consistency of plausible geological scenarios. A combination of 3D image analysis on geophysical data (ERT, SIP and GPR), temporal information, multiple-point geostatistical simulations and dimension reduction techniques will be integrated in the framework.

Supervisors

  • Prof. F. Nguyen, Applied Geophysics, University of Liege
  • Prof. Thomas Hermans, Department of Geology, Ghent University

Dissemination & communication:

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Database for the future datasets : H+ database

Glossary

  • BEL – bayesian approach where subsurface models are used to learn a statistical model that relates data and prediction variables.
  • ERT – electrical resistivity tomography.
  • SIP – spectral induced polarization.
  • GPR – ground penetrating radar.

Previous page : see ESR14-Project