Proposing a modified mechanism for determination of hydrocarbons dynamic viscosity, using artificial neural network-Reference-Cited by-同舟云学术

Proposing a modified mechanism for determination of hydrocarbons dynamic viscosity, using artificial neural network

Published:2020-05-18 Issue:10 Volume:38 Page:699-705
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Ahmadi Shayan¹,Motie Mohadeseh²,Soltanmohammadi Ramin³

Affiliation:

1. Department of Physics, University of Razi, Kermanshah, Iran;

2. School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran, Iran;

3. Department of Engineering and Geoscience, Delft University of Technology, Delft, Netherlands

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2020.1780256

Reference31 articles.

1. Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN

2. Artificial neural network modeling of scale-dependent dynamic capillary pressure effects in two-phase flow in porous media

3. Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

4. Modeling of true vapor pressure of petroleum products using ANFIS algorithm

5. Estimation of air dew point temperature using computational intelligence schemes

Cited by 20 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. Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media;Computers & Geosciences;2024-06

2. Well blowout Flame's thermal radiation prediction under environmental wind based on multi-point heat sources and inverse analysis;Geoenergy Science and Engineering;2024-03

3. Estimating pile setup parameter using XGBoost-based optimized models;GEOMECH ENG;2024

4. Investigation of pore geometry influence on fluid flow in heterogeneous porous media: A pore-scale study;Energy Geoscience;2024-01

5. A comparative analysis of super-resolution techniques for enhancing micro-CT images of carbonate rocks;Applied Computing and Geosciences;2023-12