Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes
Authors
Keywords
Gaseous mixture viscosity, Boosted regression tree, Genetic programming, Nitrogen, Carbon dioxide
Journal
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
Volume 208, Issue -, Pages 109359
Publisher
Elsevier BV
Online
2021-08-11
DOI
10.1016/j.petrol.2021.109359
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantification of interfacial energies associated with membrane fouling in a membrane bioreactor by using BP and GRNN artificial neural networks
- (2020) Yifeng Chen et al. JOURNAL OF COLLOID AND INTERFACE SCIENCE
- Experimental measurement and compositional modeling of crude oil viscosity at reservoir conditions
- (2020) Mohsen Talebkeikhah et al. Journal of the Taiwan Institute of Chemical Engineers
- Modeling viscosity of CO2 at high temperature and pressure conditions
- (2020) Menad Nait Amar et al. Journal of Natural Gas Science and Engineering
- Prediction of CO2 solubility in ionic liquids using machine learning methods
- (2020) Zhen Song et al. CHEMICAL ENGINEERING SCIENCE
- Improving the prediction ability of reference correlation for viscosity of carbon dioxide
- (2019) Sahar Abdolbaghi et al. Journal of CO2 Utilization
- Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
- (2019) Nait Amar Menad et al. Journal of CO2 Utilization
- Bio-inspired, high, and fast adsorption of tetracycline from aqueous media using Fe3O4-g-CN@PEI-β-CD nanocomposite: Modeling by response surface methodology (RSM), boosted regression tree (BRT), and general regression neural network (GRNN)
- (2019) Maryam Foroughi et al. JOURNAL OF HAZARDOUS MATERIALS
- Viscosity of CO 2 -rich mixtures from 243 K to 423 K at pressures up to 155 MPa: New experimental viscosity data and modelling
- (2018) Mahmoud Nazeri et al. JOURNAL OF CHEMICAL THERMODYNAMICS
- Measurement and modeling of the viscosity of (nitrogen + carbon dioxide) mixtures at temperatures from (253.15 to 473.15) K with pressures up to 2 MPa
- (2018) Kai Humberg et al. JOURNAL OF CHEMICAL THERMODYNAMICS
- Prediction of viscosity of several alumina-based nanofluids using various artificial intelligence paradigms - Comparison with experimental data and empirical correlations
- (2018) Ehsan Gholami et al. POWDER TECHNOLOGY
- Machine learning predictive framework for CO 2 thermodynamic properties in solution
- (2018) Zhien Zhang et al. Journal of CO2 Utilization
- Experimental investigation of CO2 injection into coal seam reservoir at in-situ stress conditions for enhanced coalbed methane recovery
- (2018) Zhengdong Liu et al. FUEL
- Insight investigation of miscible SCCO2 Water Alternating Gas (WAG) injection performance in heterogeneous sandstone reservoirs
- (2018) Duraid Al-Bayati et al. Journal of CO2 Utilization
- Reference Correlation for the Viscosity of Carbon Dioxide
- (2017) Arno Laesecke et al. JOURNAL OF PHYSICAL AND CHEMICAL REFERENCE DATA
- Accurate determination of the CO2-crude oil minimum miscibility pressure of pure and impure CO2streams: A robust modelling approach
- (2016) Abdolhossein Hemmati-Sarapardeh et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Experimental investigation of CO2 huff-n-puff process for enhancing oil recovery in tight reservoirs
- (2016) Wanfen Pu et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Miscible CO2 Simultaneous Water-and-Gas (CO2-SWAG) Injection in the Bakken Formation
- (2015) Yanbin Gong et al. ENERGY & FUELS
- CO2 injection for enhanced oil recovery in Bakken tight oil reservoirs
- (2015) Wei Yu et al. FUEL
- Measurements of the viscosity of carbon dioxide at temperatures from (253.15 to 473.15)K with pressures up to 1.2MPa
- (2015) Michael Schäfer et al. JOURNAL OF CHEMICAL THERMODYNAMICS
- Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)
- (2015) L. Lombardo et al. NATURAL HAZARDS
- Enhanced oil recovery in shale reservoirs by gas injection
- (2015) James J. Sheng Journal of Natural Gas Science and Engineering
- Carbon capture, storage and utilisation technologies: A critical analysis and comparison of their life cycle environmental impacts
- (2015) Rosa M. Cuéllar-Franca et al. Journal of CO2 Utilization
- Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids
- (2014) Mohsen Hosseinzadeh et al. JOURNAL OF MOLECULAR LIQUIDS
- A general regression neural network approach for the evaluation of compressive strength of FDM prototypes
- (2014) Biranchi Narayan Panda et al. NEURAL COMPUTING & APPLICATIONS
- Artificial neural network approach for prediction of thermal behavior of nanofluids flowing through circular tubes
- (2014) B. Vaferi et al. POWDER TECHNOLOGY
- Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods
- (2014) J. Sakari Salonen et al. QUATERNARY SCIENCE REVIEWS
- Carbon conundrum, climate change, CO2 capture and consumptions
- (2014) N. Abas et al. Journal of CO2 Utilization
- Investigating vapor–liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network
- (2013) Mostafa Lashkarbolooki et al. FLUID PHASE EQUILIBRIA
- State-of-the-Art Least Square Support Vector Machine Application for Accurate Determination of Natural Gas Viscosity
- (2013) Amir Fayazi et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- HPHT viscosities measurements of mixtures of methane/nitrogen and methane/carbon dioxide
- (2013) Ehsan Davani et al. Journal of Natural Gas Science and Engineering
- Worldwide innovations in the development of carbon capture technologies and the utilization of CO2
- (2012) Peter Markewitz et al. Energy & Environmental Science
- Viscosity Models and Effects of Dissolved CO2
- (2012) Akand W. Islam et al. ENERGY & FUELS
- Corresponding States Method for Determination of the Viscosity of Gases at Atmospheric Pressure
- (2012) Farhad Gharagheizi et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Overall environmental impacts of CCS technologies—A life cycle approach
- (2012) Petra Zapp et al. International Journal of Greenhouse Gas Control
- Modeling of arsenic, chromium and cadmium removal by nanofiltration process using genetic programming
- (2011) Ahmad Okhovat et al. APPLIED SOFT COMPUTING
- Application of genetic programming to develop the model for estimating membrane damage in the membrane integrity test using fluorescent nanoparticle
- (2011) Changwon Suh et al. DESALINATION
- Spatio-temporal predictive model based on environmental factors for juvenile spotted seatrout in Texas estuaries using boosted regression trees
- (2011) John T. Froeschke et al. FISHERIES RESEARCH
- Viscosities, thermal conductivities and diffusion coefficients of CO2 mixtures: Review of experimental data and theoretical models
- (2011) Hailong Li et al. International Journal of Greenhouse Gas Control
- An accurate empirical correlation for predicting natural gas viscosity
- (2011) Ehsan Sanjari et al. Journal of Natural Gas Chemistry
- A new and reliable model for predicting methane viscosity at high pressures and high temperatures
- (2010) Ehsan Heidaryan et al. Journal of Natural Gas Chemistry
- Prediction of membrane fouling in the pilot-scale microfiltration system using genetic programming
- (2009) Tae-Mun Lee et al. DESALINATION
- Genetic Programming (GP)-Based Model for the Viscosity of Pure and Hydrocarbon Gas Mixtures
- (2009) Eissa M. El-M. Shokir et al. ENERGY & FUELS
- Simultaneous Measurements on Helium and Nitrogen with a Newly Designed Viscometer−Densimeter over a Wide Range of Temperature and Pressure†
- (2009) Daniel Seibt et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Life-cycle Assessment of Carbon Dioxide Capture for Enhanced Oil Recovery
- (2008) Edgar G. Hertwich et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Ocean Storage of CO2
- (2008) E. E. Adams et al. Elements
- Mineral Carbonation of CO2
- (2008) E. H. Oelkers et al. Elements
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
- Enhanced coalbed methane recovery
- (2008) Marco Mazzotti et al. JOURNAL OF SUPERCRITICAL FLUIDS
- Viscosity and density measurements for carbon dioxide+pentaerythritol ester lubricant mixtures at low lubricant concentration
- (2007) A.S. Pensado et al. JOURNAL OF SUPERCRITICAL FLUIDS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started