Light hydrocarbons solvents solubility modeling in bitumen using learning approaches-Reference-Cited by-同舟云学术

Light hydrocarbons solvents solubility modeling in bitumen using learning approaches

Published:2020-12-24 Issue:4 Volume:39 Page:115-131
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Rajabi Kuyakhi Hossein¹^ORCID,Boldaji Ramin Tahmasebi²,Azadian Meysam¹

Affiliation:

1. Department of Chemical Engineering, University of Guilan, Rasht, Iran

2. Department of Chemical Engineering, College of Engineering, University of Isfahan, Isfahan, Iran

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/10.1080/10916466.2020.1863986

Reference46 articles.

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

2. The application of ANFIS prediction models for thermal error compensation on CNC machine tools

3. Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence

4. A rigorous model to predict the amount of Dissolved Calcium Carbonate Concentration throughout oil field brines: Side effect of pressure and temperature

5. Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs

Cited by 5 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. Recent Advances in the Application of Machine Learning to Crystal Behavior and Crystallization Process Control;Crystal Growth & Design;2024-06-06

2. The Effect of Ultrasonic Waves on Crude Oil Recovery;Topics on Oil and Gas;2023-12-20

3. Experimental investigation of ultrasonic cycle/magnetic stirrer (UC/MS) effect on water/α -Al2O3 nanofluid stability and thermal conductivity and its ANFIS/PSO modeling;Results in Engineering;2023-09

4. Prediction of the Dynamic Viscosity of N-Alcohol by Three Intelligent Models (ANN, LSSVM, and ANFIS) in Operation Conditions;International Journal of Petroleum Technology;2022-12-19

5. A comparative study of mathematical and ANFIS models to determine the effect of ultrasonic waves on the viscosity of crude oil;Petroleum Science and Technology;2021-10-21