1. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
Examples of shale distribution with correlation lengths (5% shale). (a) Correlation length = 1, (b) correlation length = 5, (c) correlation length = 10, (d) correlation length = 15, and (e) correlation length = 20.

2. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
Analysis of shale barrier effects on shale correlation length and shale amount. (a) Shale amount and (b) correlation length.

3. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
The flow of this study

4. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
The process for extracting the features vector proposed in this study. (a) Shale distribution in an oil sands field (black represents shale), (b) shale barrier effects processed, and (c) steam chamber expanding area.

5. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
Example of extracting the features vector components. (a) Example of features vector target and (b) ith component of the features vector.

6. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
Validation of the features vector proposed. (a) Example of the ranking factor by Fenik et al. [10] and (b) comparison of cumulative oil production prediction with the ranking factor by Fenik et al. [10] and the features vector in this study.

7. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
Prediction of cumulative oil productions with different cluster numbers (3% shale). The solid line represents the whole 100 models. (a) 5 clusters, (b) 10 clusters, and (c) 15 clusters.

8. Date of download: 11/15/2017
Copyright © ASME. All rights reserved.
From: Efficient Prediction of SAGD Productions Using Static Factor Clustering
J. Energy Resour. Technol. 2015;137(3): doi: /
Figure Legend:
Prediction of cumulative oil productions with different cluster numbers (10% shale). The solid line represents the whole 100 models. (a) 5 clusters, (b) 10 clusters, and (c) 15 clusters.