Daniel Busby
Cited by
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Hierarchical adaptive experimental design for Gaussian process emulators
D Busby
Reliability Engineering & System Safety 94 (7), 1183-1193, 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
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
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
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
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
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
Uncertainty evaluation in reservoir forecasting by Bayes linear methodology
D Busby, CL Farmer, A Iske
Algorithms for Approximation: Proceedings of the 5th International …, 2007
A workflow for decision making under uncertainty
D Busby, S Da Veiga, S Touzani
Computational Geosciences 18, 519-533, 2014
Uncertainty management on a reservoir workflow
M Feraille, D Busby
IPTC 2009: International Petroleum Technology Conference, cp-151-00240, 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
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
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
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
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
Integrated carbon risk assessment (ICARAS)
J Wollenweber, D Busby, D Wessel-Berg, M Nepveu, DB Codreanu, ...
Energy Procedia 37, 4825-4832, 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
Deep-dca a new approach for well hydrocarbon production forecasting
D Busby
ECMOR XVII 2020 (1), 1-10, 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
A comparison of screening methods for high dimensional input problems
S Touzani, D Busby, A Antoniadis
ECMOR XII-12th European Conference on the Mathematics of Oil Recovery, cp …, 2010
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