Workflow for predicting undersaturated oil viscosity using machine learning
Undersaturated oil viscosity is a dominant fluid parameter to be measured in oil reservoirs due to its direct involvement in flow calculations. Since PVT experimental work is expensive and time costly, prediction methods are essential. In this work, viscosity data from in-house and literature measur...
Main Authors: | Sofianos Panagiotis Fotias, Vassilis Gaganis |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023006291 |
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