Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
- Paper Number
NARROW
Format
Subjects
Article Type
Date
Availability
1-2 of 2
Keywords: decision tree model
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
Publisher: Petroleum Society of Canada
Paper presented at the Canadian International Petroleum Conference, June 13–15, 2006
Paper Number: PETSOC-2006-201
... these models to support field decisions. Finally, the new results presented here have come from the two versions of the improved decision tree model. In the first version a better version of the model was built. This model was characterized by a lift curve above four (400% improvement in the first decile...
Proceedings Papers
Publisher: Petroleum Society of Canada
Paper presented at the Canadian International Petroleum Conference, June 11–13, 2002
Paper Number: PETSOC-2002-028
..., and the total fluid). The geological set contained Pekisko B top subsea, Pekisko B subsea of oil-water contact, and Pekisko B netpay for all wells in the field. We have built and analyzed logistic regression, neural network, and decision tree model types. These models were developed to predict the probability...