- 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
![](https://geodatascience.hw.ac.uk/wp-content/uploads/POSTER-UQ-EAGE-2019-724x1024.png)
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
![](https://geodatascience.hw.ac.uk/wp-content/uploads/Poster-SeaLion-FINAL-712x1024.png)
Geostatistical history matching using direct image transformation under geologically consistent perturbation, Eduardo Barrela
![](https://geodatascience.hw.ac.uk/wp-content/uploads/POSTER-PMPM2016-723x1024.png)
Reservoir Modelling with Feature Selection, 2010
SPE 141510
![](https://geodatascience.hw.ac.uk/wp-content/uploads/MKL-1-724x1024.png)
Estimating Scale Deposition through Reservoir History Matching
![](https://geodatascience.hw.ac.uk/wp-content/uploads/Poster-Scale-Risk-mapping-2012-723x1024.png)
Uncertainty Quantification JIP, Phase II, 2006
![](https://geodatascience.hw.ac.uk/wp-content/uploads/UQ-1-1024x724.png)
![](https://geodatascience.hw.ac.uk/wp-content/uploads/UQ-2-1024x724.png)
![](https://geodatascience.hw.ac.uk/wp-content/uploads/UQ-3-1024x724.png)