| Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case C Scheidt, C Jeong, T Mukerji, J Caers Geophysics 80 (5), M89-M12, 2015 | 47 | 2015 |
| A fast approximation for seismic inverse modeling: Adaptive spatial resampling C Jeong, T Mukerji, G Mariethoz Mathematical Geosciences 49, 845-869, 2017 | 27 | 2017 |
| Horizontal well design incorporated with interwell interference, drilling location, and trajectory for the recovery optimization JW Lee, C Park, JM Kang, CK Jeong SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2009 | 26 | 2009 |
| A Physics Model Embedded Hybrid Deep Neural Network for Drillstring Washout Detection C Jeong, Y Yu, D Mansour, V Vesslinov, R Meehan IADC/SPE International Drilling Conference and Exhibition, Galveston, Texas …, 2020 | 12 | 2020 |
| Elastic parameter estimation J Jocker, JA Donald, C Jeong, B Jing, E Wielemaker, F Karpfinger US Patent App. 16/304,356, 2019 | 6 | 2019 |
| A fast approximation for seismic inverse modeling: Adaptive spatial resampling: Mathematical Geosciences, 49, 845–869, doi: 10.1007/s11004-017-9693-y C Jeong, T Mukerji, G Mariethoz Crossref Web of Science, 2017 | 6 | 2017 |
| Iterative spatial resampling applied to seismic inverse modeling for lithofacies prediction C Jeong, T Mukerji, G Marithoz SEG International Exposition and Annual Meeting, SEG-2011-1764, 2011 | 6 | 2011 |
| Automated well time estimation Q Liu, W Liu, C Jeong, D Medina, Y Hu US Patent 11,668,849, 2023 | 4 | 2023 |
| Modeling geological scenario uncertainty from seismic data using pattern similarity C Jeong, C Scheidt, J Caers, T Mukerji* SEG Technical Program Expanded Abstracts 2014, 2444-2448, 2014 | 4 | 2014 |
| A fuzzy model integrated with electrofacies characterization for permeability prediction C Jeong, C Park, JM Kang Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35 …, 2013 | 4 | 2013 |
| Adaptive spatial resampling as a Markov chain Monte Carlo method for stochastic seismic reservoir characterization C Jeong, T Mukerji, G Mariethoz SEG International Exposition and Annual Meeting, SEG-2012-0625, 2012 | 4 | 2012 |
| Automated offset well analysis C Jeong, FJ Gomez, M Ringer, P Bolchover, P Muller US Patent 11,143,775, 2021 | 3 | 2021 |
| Quantitative reservoir characterization integrating seismic data and geological scenario uncertainty C Jeong Stanford University, 2014 | 3 | 2014 |
| Machine Learning-Based Drilling System Recommender: Towards Optimal BHA and Fluid Technology Selection G Skoff, F Mahfoudh, C Jeong, S Makarychev-Mikhailov, O Petryshak, ... SPE/IADC Drilling Conference and Exhibition, D031S021R004, 2023 | 2 | 2023 |
| Local direct sampling method for conditioning an existing reservoir model C Jeong, LY Hu, Y Liu US Patent App. 14/700,617, 2015 | 2 | 2015 |
| Adaptive spatial resampling applied to seismic inverse modeling C Jeong, T Mukerji, G Mariethoz The Ninth International Geostatistics Congress, 2012 | 2 | 2012 |
| System and method for evaluating bottom hole assemblies Y Yu, C Jeong, Y Shen, W Chen, Z Zhang, V Vesselinov US Patent App. 17/449,399, 2023 | 1 | 2023 |
| Multitasking Physics-Informed Neural Network for Drillstring Washout Detection A Jan, F Mahfoudh, G Draškovic, C Jeong, Y Yu 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | 1 | 2022 |
| DDNet: A Multi-Agent Decision Making and Evaluation in Drilling with Looking-Ahead Simulation Y Yu, C Jeong, W Chen, Y Shen, V Vesselinov, S Chambon SPE/IADC Drilling Conference and Exhibition, D011S007R001, 2022 | 1 | 2022 |
| Behavior anomalies detection in drilling time series through feature extraction C Jeong, Y Yu, D Patino, S Venkatakrishnan, D Mansour SPE/IADC Drilling Conference and Exhibition, D022S006R001, 2022 | 1 | 2022 |
Gregoire MariethozUniversity of Lausanne, Faculty of Geosciences and Environment, Institute of Earth Surface DynamicsAdresse e-mail validée de unil.ch
