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Honoring uncertainties - a deep dive into the engine room of Multiple-Point Statistics

PhD defence, Tuesday 28th of June 2022. Óli Dagmann Jóhannsson.

Oli Dagmann Johannsson

During his PhD studies, Óli Dagmann Jóhannsson researched geostatistical methods, which have applications in a broad range of fields, from mineral prospecting to groundwater mapping etc.. A deep dive into the engine room of some of the modern methods, called Multiple-Point Statistics,has allowed developing a novel method to take into account the uncertainty of multiple data simultaneously, as well as a method to quickly estimate values based on geological knowledge while conditioned to data.

When uncertainties are correctly taken into account, risk of erroneous conclusions can be minimized, and this work contributes to that.

The PhD study was completed at Department of Geoscience, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Tuesday, 28th of June at 12:00
Place: Building 1671, room 137, Lecture Theatre Aud-1671, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, 8000 Aarhus C.
Title of PhD thesis: Conditioning to Probability Distributions in Multiple Point Statistics

Contact information: Óli Dagmann Jóhannsson, e-mail: oli.johannsson@geo.au.dk, tel.: +45 5252 6900

Members of the assessment committee:

Professor Karsten Høgh Jensen, Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark

Professor Grégoire Mariéthoz, Institute of Earth Surface Dynamics, Université de Lausanne, Switzerland

Professor Søren Bom Nielsen (chair), Department of Geoscience, Aarhus University, Denmark

Main supervisor:
Associate Professor Thomas Mejer Hansen, Department of Geoscience, Aarhus University, Denmark

Professor Klaus Mosegaard, Niels Bohr Institute, University of Copenhagen, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS,

Jens Baggesens Vej 53, building 5221, second floor, 8200 Aarhus N.

16882 / i43