A new history matching sensitivity analysis framework with random forests and Plackett-Burman design
To improve the current industry standard one-parameter-at-a-time sensitivity analysis method, we propose a new sensitivity analysis framework that utilizes Plackett-Burman design and Random Forests (a wellknown data mining method). The new framework significantly reduces the number of required simul...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Society of Petroleum Engineers
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041079102&partnerID=40&md5=202496cadc69bf8359ba3fc0db6f4322 http://eprints.utp.edu.my/20297/ |
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