Developing Ensemble Machine Learning Models to Predict Petrophysical Properties of Sandstone Reservoirs
This research investigated the applicability of bagging and boosting ensemble machine learning algorithms in predicting petrophysical properties, namely porosity, permeability and water saturation which is a vital aspect in reservoir characterization. Further, an in-depth analysis was done on the ef...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2025
|
| Online Access: | http://hdl.handle.net/20.500.11937/97704 |