| Modeling, history matching, forecasting and analysis of shale reservoirs performance using artificial intelligence SD Mohaghegh, O Grujic, S Zargari, M Kalantari SPE digital energy conference and exhibition, SPE-143875-MS, 2011 | 52 | 2011 |
| Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion L Yang, D Hyde, O Grujic, C Scheidt, J Caers Computers & geosciences 122, 54-67, 2019 | 40 | 2019 |
| Universal kriging of functional data: Trace-variography vs cross-variography? Application to gas forecasting in unconventional shales A Menafoglio, O Grujic, J Caers Spatial Statistics 15, 39-55, 2016 | 35 | 2016 |
| Functional approach to data mining, forecasting, and uncertainty quantification in unconventional reservoirs O Grujic, C Da Silva, J Caers SPE Annual Technical Conference and Exhibition?, D031S030R001, 2015 | 26 | 2015 |
| Cokriging for multivariate Hilbert space valued random fields: application to multi-fidelity computer code emulation O Grujic, A Menafoglio, G Yang, J Caers Stochastic Environmental Research and Risk Assessment 32, 1955-1971, 2018 | 18 | 2018 |
| Fast Track Reservoir Modeling of Shale Formations in the Appalachian Basin. Application to Lower Huron Shale in Eastern Kentucky. O Grujic, SD Mohaghegh, G Bromhal SPE Eastern Regional Meeting, SPE-139101-MS, 2010 | 14 | 2010 |
| Subsurface modeling with functional data O Grujic Stanford University, 2017 | 8 | 2017 |
| fdagstat, an R package O Grujic, A Menafoglio R package version 1, 2017 | 6 | 2017 |
| Forecasting production decline rate in unconventional resources by Kriging of functional data A Menafoglio, O Grujic, J Caers Petroleum Geostatistics 2015, cp-456-00051, 2015 | 5 | 2015 |
| Quantifying uncertainty in subsurface systems TN Vilhelmsen, K Maher, C Da Silva, T Hermans, O Grujic, J Park, G Yang Quantifying uncertainty in subsurface systems, 217-262, 2018 | 3 | 2018 |
| Model Selection by Functional Decomposition of Multi-Proxy Flow Responses O Grujic, J Caers SCRF Affiliates Meeting, 2014 | 2 | 2014 |
| Methods for evaluation and treatment of epistemic uncertainty in portfolio losses due to earthquakes M Markhvida, G Cremen, O Grujic, J Baker IAEE, 2021 | 1 | 2021 |
| The Earth Resources Challenge TN Vilhelmsen, K Maher, C Da Silva, T Hermans, O Grujic, J Park, G Yang Quantifying Uncertainty in Subsurface Systems, 1-27, 2018 | | 2018 |
| The Earth Resources Challenge O Grujic, J Park, G Yang | | 2018 |
| The earth resources challenge C Scheidt, L Li, J Caers, T Norvin Vilhelmsen, K Maher, C Da Silva, ... Quantifying uncertainty in subsurface systems 236, 1-27, 2018 | | 2018 |
| Kriging Unconventional Production Decline Rate from Geological and Completion Parameters O Grujic, J Caers Petroleum Geostatistics 2015, cp-456-00018, 2015 | | 2015 |
| Model selection using multivariate functional data analysis for fast uncertainty quantification in subsurface reservoir forecasting O Grujic, J Caers AGU Fall Meeting Abstracts 2014, H33C-0833, 2014 | | 2014 |
| Intelligent reservoir modeling of Lower Huron Shale O Grujic | | 2011 |
| SPE 139101 Fast Track Reservoir Modeling of Shale Formations in the Appalachian Basin. Application to Lower Huron Shale in Eastern Kentucky O Grujic, SD Mohaghegh, G Bromhal | | 2010 |
Jef CaersStanford University, Professor of Geological SciencesVerified email at stanford.edu
