Daniel Busby
Geciteerd door
Geciteerd door
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
Hierarchical adaptive experimental design for Gaussian process emulators
D Busby
Reliability Engineering & System Safety 94 (7), 1183-1193, 2009
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
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
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
Use of data analytics to improve well placement optimization under uncertainty
D Busby, F Pivot, A Tadjer
Abu Dhabi International Petroleum Exhibition & Conference, 2017
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 management on a reservoir workflow
M Feraille, D Busby
IPTC 2009: International Petroleum Technology Conference, cp-151-00240, 2009
Uncertainty evaluation in reservoir forecasting by Bayes linear methodology
D Busby, CL Farmer, A Iske
Algorithms for Approximation, 187-196, 2007
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
A workflow for decision making under uncertainty
D Busby, S Da Veiga, S Touzani
Computational Geosciences 18 (3), 519-533, 2014
Uncertainty reduction by production data assimilation combining gradual deformation with adaptive response surface methodology
D Busby, MD Feraille, V Gervais-Couplet
EUROPEC/EAGE Conference and Exhibition, 2009
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
Integrated carbon risk assessment (ICARAS)
J Wollenweber, D Busby, D Wessel-Berg, M Nepveu, DB Codreanu, ...
Energy Procedia 37, 4825-4832, 2013
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
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
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
Optimal well placement for risk mitigation in co2 storage
E Sergienko, D Busby
1st EAGE Sustainable Earth Sciences (SES) Conference and Exhibition, cp-268 …, 2011
Reservoir forecasting under uncertainty: an integrated approach
D Busby, T Romary, S Touzani, M Feraille, B Noetinger, LY Hu
International Meeting on Complexity in Oil Industry, 5-9 August 2007, Natal …, 2007
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
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