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2017

Conference Publication

A new method for facies simulation using non-linear geostatistics with directional and order asymmetry

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.

A new method for facies simulation using non-linear geostatistics with directional and order asymmetry

2016

Journal Article

Random mixing: an approach to inverse modeling for groundwater flow and transport problems

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

Random mixing: an approach to inverse modeling for groundwater flow and transport problems

2016

Journal Article

Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing

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

Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing

2016

Book

Process-oriented modeling of spatial random fields using copulas

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

Process-oriented modeling of spatial random fields using copulas

2015

Conference Publication

Simulation of conditional spatial fields using random mixing

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

Simulation of conditional spatial fields using random mixing