| Hierarchical adaptive experimental design for Gaussian process emulators D Busby Reliability Engineering & System Safety 94 (7), 1183-1193, 2009 | 109 | 2009 |
| Hierarchical nonlinear approximation for experimental design and statistical data fitting D Busby, CL Farmer, A Iske SIAM Journal on Scientific Computing 29 (1), 49-69, 2007 | 104 | 2007 |
| Method for evaluating an underground reservoir production scheme taking account of uncertainties D Busby, M Feraille, T Romary, S Touzani US Patent 8,392,164, 2013 | 29 | 2013 |
| Use of data analytics to improve well placement optimization under uncertainty D Busby, F Pivot, A Tadjer Abu Dhabi International Petroleum Exhibition and Conference, D041S113R005, 2017 | 25 | 2017 |
| Smoothing spline analysis of variance approach for global sensitivity analysis of computer codes S Touzani, D Busby Reliability Engineering & System Safety 112, 67-81, 2013 | 23 | 2013 |
| Using experimental designs, assisted history-matching tools, and Bayesian framework to get probabilistic gas-storage pressure forecasts T Schaaf, B Coureaud, N Labat, D Busby SPE Reservoir Evaluation & Engineering 12 (05), 724-736, 2009 | 21 | 2009 |
| Screening method using the derivative-based global sensitivity indices with application to reservoir simulator S Touzani, D Busby Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 69 (4), 619-632, 2014 | 20 | 2014 |
| Uncertainty evaluation in reservoir forecasting by Bayes linear methodology D Busby, CL Farmer, A Iske Algorithms for Approximation: Proceedings of the 5th International …, 2007 | 14 | 2007 |
| A workflow for decision making under uncertainty D Busby, S Da Veiga, S Touzani Computational Geosciences 18, 519-533, 2014 | 13 | 2014 |
| Uncertainty management on a reservoir workflow M Feraille, D Busby IPTC 2009: International Petroleum Technology Conference, cp-151-00240, 2009 | 13 | 2009 |
| Uncertainty reduction by production data assimilation combining gradual deformation with adaptive response surface methodology D Busby, M Feraille, V Gervais SPE Europec featured at EAGE Conference and Exhibition?, SPE-121274-MS, 2009 | 13 | 2009 |
| Adaptive design of experiments for calibration of complex simulators–An application to uncertainty quantification of a mature oil field D Busby, M Feraille Journal of Physics: Conference Series 135 (1), 012026, 2008 | 12 | 2008 |
| Adaptive Design of Experiments for Bayesian Inversion–An Application to Uncertainty Quantification of a Mature Oil Field D Busby, M Feraille Journal of Physics: Conference Series 135 (012026), 2008 | 10 | 2008 |
| Deep-CRM: A new deep learning approach for capacitance resistive models A Yewgat, D Busby, M Chevalier, C Lapeyre, O Teste ECMOR XVII 2020 (1), 1-19, 2020 | 8 | 2020 |
| Generating unrepresented proportions of geological facies using Generative Adversarial Networks A Abdellatif, AH Elsheikh, G Graham, D Busby, P Berthet Computers & Geosciences 162, 105085, 2022 | 7 | 2022 |
| Integrated carbon risk assessment (ICARAS) J Wollenweber, D Busby, D Wessel-Berg, M Nepveu, DB Codreanu, ... Energy Procedia 37, 4825-4832, 2013 | 7 | 2013 |
| Dynamic data assimilation by MCMC and sequential design of experiments D Busby, M Feraille ECMOR XI-11th European Conference on the Mathematics of Oil Recovery, cp-62 …, 2008 | 7 | 2008 |
| Deep-dca a new approach for well hydrocarbon production forecasting D Busby ECMOR XVII 2020 (1), 1-10, 2020 | 6 | 2020 |
| Combining probabilistic inversion and multi-objective optimization for production development under uncertainty D Busby, E Sergienko ECMOR XII-12th European Conference on the Mathematics of Oil Recovery, cp …, 2010 | 6 | 2010 |
| Generation of non-stationary stochastic fields using Generative Adversarial Networks A Abdellatif, AH Elsheikh, D Busby, P Berthet arXiv preprint arXiv:2205.05469, 2022 | 5 | 2022 |
