Dr Sebastian Hoerning
Research Fellow
UQ Centre for Natural Gas
+61 7 334 63384
Book
Hörning, Sebastian (2016). Process-oriented modeling of spatial random fields using copulas. Stuttgart, Germany: Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung. doi: 10.18419/opus-8871
Journal Articles
Bárdossy, András and Hörning, Sebastian (2023). Definition of spatial copula based dependence using a family of non‐Gaussian spatial random fields. Water Resources Research, 59 (7) e2023WR034446. doi: 10.1029/2023wr034446
Blettner, Nico, Chwala, Christian, Haese, Barbara, Hörning, Sebastian and Kunstmann, Harald (2022). Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: A stochastic reconstruction and pattern analysis approach. Water Resources Research, 58 (10) e2022WR032563, 1-16. doi: 10.1029/2022wr032563
Chang, A., Gross, L. and Hörning, S. (2022). Full waveform inversion using Random Mixing. Computers and Geosciences, 161 105041, 105041. doi: 10.1016/j.cageo.2022.105041
Hörning, Sebastian and Haese, Barbara (2021). RMWSPy (v 1.1): A Python code for spatial simulation and inversion for environmental applications. Environmental Modelling and Software, 138 104970, 104970. doi: 10.1016/j.envsoft.2021.104970
Yan, Jieru, Bárdossy, András, Hörning, Sebastian and Tao, Tao (2020). Conditional simulation of surface rainfall fields using modified phase annealing. Hydrology and Earth System Sciences, 24 (5) 2020, 2287-2301. doi: 10.5194/hess-24-2287-2020
Hörning, S., Gross, L. and Bárdossy, A. (2020). Geostatistical electrical resistivity tomography using random mixing. Journal of Applied Geophysics, 176 104015, 104015. doi: 10.1016/j.jappgeo.2020.104015
Grundmann, Jens, Hörning, Sebastian and Bárdossy, András (2019). Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling. Hydrology and Earth System Sciences, 23 (1), 225-237. doi: 10.5194/hess-23-225-2019
Hörning, S., Sreekanth, J. and Bárdossy, A. (2019). Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolation. Advances in Water Resources, 123, 109-119. doi: 10.1016/j.advwatres.2018.11.012
Hörning, S. and Bardossy, A. (2018). Phase annealing for the conditional simulation of spatial random fields. Computers and Geosciences, 112, 101-111. doi: 10.1016/j.cageo.2017.12.008
Haese, B., Hörning, S., Chwala, C., Bardossy, A. and Kunstmann, H. (2017). Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges. Water Resources Research, 53 (12), 10740-10756. doi: 10.1002/2017WR021015
Bárdossy, András and Hörning, Sebastian (2017). Process-driven direction-dependent asymmetry: identification and quantification of directional dependence in spatial fields. Mathematical Geosciences, 49 (7), 871-891. doi: 10.1007/s11004-017-9682-1
Bardossy, Andras and Hoerning, Sebastian (2016). Random mixing: an approach to inverse modeling for groundwater flow and transport problems. Transport in Porous Media, 114 (2), 241-259. doi: 10.1007/s11242-015-0608-4
Bárdossy, András and Hörning, Sebastian (2016). Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing. Water Resources Research, 52 (6), 4504-4526. doi: 10.1002/2014WR016820
Conference Papers
Hoerning, Sebastian and Rodger, Iain (2021). Key properties are not well represented by means: spatial asymmetry in coal seam gas reservoir modelling. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Virtual, 16-18 November 2021. Unconventional Resources Technology Conference (URTEC). doi: 10.15530/AP-URTEC-2021-208353
Tyson, Stephen and Hörning, Sebastian (2017). A new method for facies simulation using non-linear geostatistics with directional and order asymmetry. SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition 2017, Jakarta, Indonesia, October 17-19, 2017. Society of Petroleum Engineers.
Horning, S., Bardossy, A. and Tyson, S. (2015). Simulation of conditional spatial fields using random mixing. Petroleum Geostatistics 2015, Biarritz, France, 7 - 11 September 2015. Netherlands: European Association of Geoscientists and Engineers, EAGE. doi: 10.3997/2214-4609.201413599