| 3-D Structural geological models: Concepts, methods, and uncertainties F Wellmann, G Caumon Advances in geophysics 59, 1-121, 2018 | 386 | 2018 |
| 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 | 368 | 2012 |
| 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 | 282 | 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 | 204 | 2019 |
| Next generation three-dimensional geologic modeling and inversion M Jessell, L Aillères, E De Kemp, M Lindsay, F Wellmann, M Hillier, ... | 151 | 2014 |
| Beyond the second law: An overview RC Dewar, CH Lineweaver, RK Niven, K Regenauer-Lieb Beyond the Second Law: Entropy Production and Non-equilibrium Systems, 3-27, 2013 | 113 | 2013 |
| 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 (2), 145-177, 2017 | 110 | 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 | 104 | 2016 |
| 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 | 84 | 2018 |
| 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 | 81 | 2014 |
| Structural geologic modeling as an inference problem: A Bayesian perspective M de la Varga, JF Wellmann Interpretation 4 (3), SM1-SM16, 2016 | 78 | 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 | 73 | 2012 |
| Three-dimensional structural geological modeling using graph neural networks M Hillier, F Wellmann, B Brodaric, E de Kemp, E Schetselaar Mathematical geosciences 53 (8), 1725-1749, 2021 | 68 | 2021 |
| 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 | 64 | 2014 |
| 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 | 63 | 2019 |
| Information theory for correlation analysis and estimation of uncertainty reduction in maps and models JF Wellmann Entropy 15 (4), 1464-1485, 2013 | 63 | 2013 |
| 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 | 61 | 2013 |
| 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 | 59 | 2017 |
| 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 | 57 | 2016 |
| GemPy 1.0: opensource stochastic geological modeling and inversion, Geosci. Model Dev., 12, 1–32 M De La Varga, A Schaaf, F Wellmann | 53 | 2019 |
Lynn B. ReidNational Offshore Petroleum Titles AdministratorVerified email at alum.mit.edu
