- GEO DATA SCIENCE & UNCERTAINTY, EAGE 2019
- History Matching and Uncertainty Quantification Of Reservoir Performance With Generative Deep Learning And Graph Convolutions, G. Shishaev
- Machine Learning for capturing uncertainty in facies classification – a North Falkland Basin study, Julie Halotel
- Geostatistical history matching using direct image transformation under geologically consistent perturbation, Eduardo Barrela
- Estimating Scale Deposition through Reservoir History Matching
- Reservoir Modelling with Feature Selection, 2010
- Uncertainty Quantification JIP, Phase II, 2006
GEO DATA SCIENCE & UNCERTAINTY,
EAGE 2019 HWU Exhibition stand
History Matching and Uncertainty Quantification Of Reservoir Performance With Generative Deep Learning And Graph Convolutions, G. Shishaev
Machine Learning for capturing uncertainty in facies classification – a North Falkland Basin study
Julie Halotel, , Dave McCarthy, Vasily Demyanov, Andy Gardiner,
BSRG 2019 Annual General Meeting on behalf of The British Sedimentological Research Group
Geostatistical history matching using direct image transformation under geologically consistent perturbation, Eduardo Barrela
Reservoir Modelling with Feature Selection, 2010
SPE 141510
Estimating Scale Deposition through Reservoir History Matching
Uncertainty Quantification JIP, Phase II, 2006
