Workflow for predicting undersaturated oil viscosity using machine learning-Reference-Cited by-同舟云学术

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Workflow for predicting undersaturated oil viscosity using machine learning

Published:2023-12 Issue: Volume:20 Page:101502
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Fotias Sofianos Panagiotis,Gaganis Vassilis

Publisher

Elsevier BV

Subject

General Engineering

Reference57 articles.

1. The Effective Approach for Predicting Viscosity of Saturated and Undersaturated Reservoir Oil;Kulchanyavivat,2005

2. Equations of State and PVT Analysis;Tarek,2013

3. Multiphase Flow in Wells;Mukherjee,1999

4. Undersaturated oil viscosity correlation for adverse conditions;Bergman,2006

5. Workflows to optimally select undersaturated oil viscosity correlations for reservoir flow simulations;Panagiotis Fotias;Energies,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Virtualized Viscosity Sensor for Onboard Energy Management;Energies;2024-07-24

2. Mass Balance-Based Quality Control of PVT Results of Reservoir Oil DL Studies;Energies;2024-07-05

3. Predicting scale deposition in oil reservoirs using machine learning optimization algorithms;Results in Engineering;2024-06

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