Applied Geophysics
Campus Golm
Building 27, Room 0.35
Karl-Liebknecht-Str. 24-25
14476 Potsdam-Golm
2018-present Doctoral Student, Applied Geophysics (University Potsdam)
2015-2018 M.Sc., Geosciences (University Potsdam)
2012-2015 B.Sc., Geosciences (University Potsdam)
In my doctoral thesis, I focus on the analysis of both synthetic and field 2D/3D ground-penetrating radar (GPR) data aquired across sedimentary systems. Typically, such data are interpreted in a manual and thus time-consuming and barely reproducible manner. Hence, the scope of this project is to analyze and classify data attributes in order to interpret the data by generating 2D/3D GPR facies models of sedimentary systems.
https://orcid.org/0000-0002-3647-7260
Allroggen, N., Heincke, B.H., Koyan, P., Wheeler, W., Rønning, J.S., 2022: 3D ground-penetrating radar attribute classification: A case study from a paleokarst breccia pipe in the Billefjorden area on Spitsbergen, Svalbard. Geophysics. doi: https://doi.org/10.1190/geo2021-0651.1
Koyan, P., Tronicke, J., Allroggen, N, 2021: 3D ground-penetrating radar attributes to generate classified facies models: A case study from a dune island. Geophysics. doi: https://doi.org/10.1190/geo2021-0204.1. Featured in: Behura, J., 2022: Geophysics Bright Spots. The Leading Edge. doi: https://doi.org/10.1190/tle41010062.1.
Koyan, P., Tronicke, J., 2020: 3D modeling of ground-penetrating radar data across a realistic sedimentary model. Computers and Geosciences. doi: https://doi.org/10.1016/j.cageo.2020.104422.
Koyan, P., Tronicke, J., 2022: 3D Classified GPR Facies Models from Multi-frequency Data Volumes: A Synthetic Study. In: 19th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2022-042.1.
Koyan, P., Tronicke, J., 2020: Analyzing 3D multi-frequency ground-penetrating radar (GPR) data simulated across a realistic sedimentary model. In: 18th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2020-073.1.
J. Tronicke, Koyan, P., Allroggen, N., 2020. The redundant wavelet transform to process and interpret GPR data. In: 18th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2020-104.1.
Koyan, P., Tronicke, J., Allroggen, N., Kathage, A., Willmes, M., 2018. Estimating moisture changes in concrete using GPR velocity analysis: potential and limitations. In: 17th International Conference On Ground Penetrating Radar (GPR), Rapperswil (CH). doi: 10.1109/ICGPR.2018.8441572.
Guillemoteau, J., Koyan, P., Tronicke, J., 2017: Processing of Densely Sampled Electromagnetic Induction Data Collected across Peat Deposits. In: 23rd European Meeting of Environmental and Engineering Geophysics, Malmö (Sweden). doi: https://doi.org/10.3997/2214-4609.201701983.
Koyan, P., Tronicke, J., 2019. A synthetic 3D ground-penetrating radar (GPR) data set across a realistic sedimentary model. Mendeley Data. doi: http://dx.doi.org/10.17632/by3yh79hx4.1.
Koyan, P., 2020. 3D GPR data simulated across a realistic sedimentary model: Modelling, analyses and applications. (Online Workshop on Ground-Penetrating Radar modelling using gprMax, Newcastle upon Tyne 2020). link: https://www.youtube.com/watch?v=sw5zncmyKU0
University of Potsdam
Institute of Geosciences
Campus Golm / Building 27
Karl-Liebknecht-Str. 24-25
14476 Potsdam
Tel.: +49 331 977-2116
Fax: +49 331 977-5700
E-Mail: sekretariatugeo.uni-potsdampde