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Fatimah Alzubaidi
Fatimah Alzubaidi
Researcher, School of Minerals and Energy Resources Engineering, The University of New South Wales
Verified email at unsw.edu.au
Title
Cited by
Cited by
Year
Machine learning for predicting properties of porous media from 2d X-ray images
N Alqahtani, F Alzubaidi, RT Armstrong, P Swietojanski, P Mostaghimi
Journal of Petroleum Science and Engineering 184, 106514, 2020
902020
Automated lithology classification from drill core images using convolutional neural networks
F Alzubaidi, P Mostaghimi, P Swietojanski, SR Clark, RT Armstrong
Journal of Petroleum Science and Engineering 197, 107933, 2021
442021
Automatic fracture detection and characterization from unwrapped drill-core images using mask R–CNN
F Alzubaidi, P Makuluni, SR Clark, JE Lie, P Mostaghimi, RT Armstrong
Journal of Petroleum Science and Engineering 208, 109471, 2022
42022
Automated Rock Quality Designation Using Convolutional Neural Networks
F Alzubaidi, P Mostaghimi, G Si, P Swietojanski, RT Armstrong
Rock Mechanics and Rock Engineering, 1-16, 2022
32022
Automated fault detection in the Arabian Basin
R Alohali, F Alzubaidi, M van Kranendonk, S Clark
Geophysics 87 (4), IM101-IM109, 2022
12022
Effective permeability of an immiscible fluid in porous media determined from its geometric state
F Alzubaidi, P Mostaghimi, Y Niu, RT Armstrong, G Mohammadi, S Berg, ...
arXiv preprint arXiv:2208.08027, 2022
2022
Automated Analysis of Drill-Core Images Using Convolutional Neural Network
F Al-Zubaidi
UNSW Sydney, 2022
2022
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