Permeability Prediction Using Machine Learning Methods for the CO2 Injectivity of the Precipice Sandstone in Surat Basin, Australia

Permeability Prediction Using Machine Learning Methods for the CO2 Injectivity of the Precipice Sandstone in Surat Basin, Australia

This paper presents the results of a research project which investigated permeability prediction for the Precipice Sandstone of the Surat Basin. Machine learning techniques were used for permeability estimation based on multiple wireline logs. This information improves the prediction of CO2 injectiv...

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Bibliographic Details
Main Authors: Rezaee, Reza, Ekundayo, Jamiu
Format: Journal Article
Language:English
Published: MDPI 2022
Subjects:
Science & Technology
Technology
Energy & Fuels
permeability prediction
machine learning
CO2 injectivity
precipice sandstone
Surat Basin
Australia
STORAGE EFFICIENCY
SELECTION
POROSITY
CHOICE
Online Access:http://hdl.handle.net/20.500.11937/89524

Internet

http://hdl.handle.net/20.500.11937/89524

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