Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models JF Wellmann, K Regenauer-Lieb Tectonophysics 526, 207-216, 2012 | 336 | 2012 |
3-D Structural geological models: Concepts, methods, and uncertainties F Wellmann, G Caumon Advances in geophysics 59, 1-121, 2018 | 298 | 2018 |
Towards incorporating uncertainty of structural data in 3D geological inversion JF Wellmann, FG Horowitz, E Schill, K Regenauer-Lieb Tectonophysics 490 (3-4), 141-151, 2010 | 267 | 2010 |
GemPy 1.0: open-source stochastic geological modeling and inversion M De la Varga, A Schaaf, F Wellmann Geoscientific Model Development 12 (1), 1-32, 2019 | 163 | 2019 |
Next generation three-dimensional geologic modeling and inversion M Jessell, L Aillères, E De Kemp, M Lindsay, F Wellmann, M Hillier, ... | 137 | 2014 |
A segmentation approach for stochastic geological modeling using hidden Markov random fields H Wang, JF Wellmann, Z Li, X Wang, RY Liang Mathematical Geosciences 49, 145-177, 2017 | 101 | 2017 |
The topology of geology 1: Topological analysis ST Thiele, MW Jessell, M Lindsay, V Ogarko, JF Wellmann, ... Journal of Structural Geology 91, 27-38, 2016 | 96 | 2016 |
Beyond the second law RC Dewar, CH Lineweaver, RK Niven, K Regenauer-Lieb Entropy production and non-equilibrium systems, 2014 | 89 | 2014 |
Change of stress regime during geothermal reservoir stimulation M Schoenball, L Dorbath, E Gaucher, JF Wellmann, T Kohl Geophysical Research Letters 41 (4), 1163-1170, 2014 | 76 | 2014 |
Uncertainty estimation for a geological model of the Sandstone greenstone belt, Western Australia–insights from integrated geological and geophysical inversion in a Bayesian … JF Wellmann, M De La Varga, RE Murdie, K Gessner, M Jessell | 75 | 2018 |
Structural geologic modeling as an inference problem: A Bayesian perspective M de la Varga, JF Wellmann Interpretation 4 (3), SM1-SM16, 2016 | 72 | 2016 |
Python scripting libraries for subsurface fluid and heat flow simulations with TOUGH2 and SHEMAT JF Wellmann, A Croucher, K Regenauer-Lieb Computers & Geosciences 43, 197-206, 2012 | 68 | 2012 |
Multiscale coupling and multiphysics approaches in earth sciences: Theory K Regenauer-Lieb, M Veveakis, T Poulet, F Wellmann, A Karrech, J Liu, ... Journal of Coupled Systems and Multiscale Dynamics 1 (1), 49-73, 2013 | 62 | 2013 |
Validating 3-D structural models with geological knowledge for improved uncertainty evaluations JF Wellmann, M Lindsay, J Poh, M Jessell Energy Procedia 59, 374-381, 2014 | 60 | 2014 |
Methods and uncertainty estimations of 3-D structural modelling in crystalline rocks: a case study R Schneeberger, M de La Varga, D Egli, A Berger, F Kober, F Wellmann, ... Solid earth 8 (5), 987-1002, 2017 | 56 | 2017 |
Information theory for correlation analysis and estimation of uncertainty reduction in maps and models JF Wellmann Entropy 15 (4), 1464-1485, 2013 | 56 | 2013 |
Multiscale coupling and multiphysics approaches in earth sciences: Applications K Regenauer-Lieb, M Veveakis, T Poulet, F Wellmann, A Karrech, J Liu, ... Journal of Coupled Systems and Multiscale Dynamics 1 (3), 281-323, 2013 | 53 | 2013 |
A Bayesian unsupervised learning approach for identifying soil stratification using cone penetration data H Wang, X Wang, JF Wellmann, RY Liang Canadian Geotechnical Journal 56 (8), 1184-1205, 2019 | 52 | 2019 |
The topology of geology 2: Topological uncertainty ST Thiele, MW Jessell, M Lindsay, JF Wellmann, E Pakyuz-Charrier Journal of Structural Geology 91, 74-87, 2016 | 49 | 2016 |
GemPy 1.0: opensource stochastic geological modeling and inversion, Geosci. Model Dev., 12, 1–32 M De La Varga, A Schaaf, F Wellmann | 47 | 2019 |