The utilization of machine learning method to predict hydrocarbon flowrate for a better reservoir potential evaluation
The numbers of machine learning technologies used in subsurface characterization work is increasing with more company rely on data driven to assist in performing any evaluation. In this study, a supervised random forest machine learning approach was utilized in two stages; first stage was to predict...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/108685/ http://dx.doi.org/10.2523/IPTC-22025-MS |
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