RANDOM FORESTS-BASED SENSITIVITY ANALYSIS FOR RESERVOIR HISTORY MATCHING
Sensitivity analysis is typically required to screen unwanted history matching parameters so that computational cost can be reduced. Random Forests (RF) is a well-known statistical learning tool that maps a list of input parameters onto a predicted response.
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/18960/1/AFTER_REVIVA.pdf http://utpedia.utp.edu.my/18960/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Petronas |
Language: | English |