Accurate determination of the CO2-crude oil minimum miscibility pressure of pure and impure CO2streams: A robust modelling approach
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Accurate determination of the CO2-crude oil minimum miscibility pressure of pure and impure CO2streams: A robust modelling approach
Authors
Keywords
-
Journal
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
Volume 94, Issue 2, Pages 253-261
Publisher
Wiley
Online
2015-11-09
DOI
10.1002/cjce.22387
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures
- (2015) Mohammad Fathinasab et al. FLUID PHASE EQUILIBRIA
- Toward mechanistic understanding of heavy crude oil/brine interfacial tension: The roles of salinity, temperature and pressure
- (2014) Farzaneh Moeini et al. FLUID PHASE EQUILIBRIA
- Rigorous modeling for prediction of barium sulfate (barite) deposition in oilfield brines
- (2014) Arash Kamari et al. FLUID PHASE EQUILIBRIA
- The genetic algorithm based back propagation neural network for MMP prediction in CO2-EOR process
- (2014) Guangying Chen et al. FUEL
- Effect of operational parameters on SAGD performance in a dip heterogeneous fractured reservoir
- (2014) Hani Hashemi-Kiasari et al. FUEL
- Experimental Determination of Equilibrium Interfacial Tension for Nitrogen-Crude Oil during the Gas Injection Process: The Role of Temperature, Pressure, and Composition
- (2014) Abdolhossein Hemmati-Sarapardeh et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Compositional Model for Estimating Asphaltene Precipitation Conditions in Live Reservoir Oil Systems
- (2014) Arash Kamari et al. JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
- Experimental measurement and modeling of saturated reservoir oil viscosity
- (2014) Abdolhossein Hemmati-Sarapardeh et al. KOREAN JOURNAL OF CHEMICAL ENGINEERING
- Application of soft computing approaches for modeling saturation pressure of reservoir oils
- (2014) Roya Talebi et al. Journal of Natural Gas Science and Engineering
- A developed smart technique to predict minimum miscible pressure-eor implications
- (2013) Sohrab Zendehboudi et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- SOFT COMPUTING METHOD FOR PREDICTION OF CO2CORROSION IN FLOW LINES BASED ON NEURAL NETWORK APPROACH
- (2013) Ali Chamkalani et al. CHEMICAL ENGINEERING COMMUNICATIONS
- A CO2-Oil Minimum Miscibility Pressure Model Based on Multi-Gene Genetic Programming
- (2013) Mehdi Rezaei et al. ENERGY EXPLORATION & EXPLOITATION
- Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model
- (2013) Abdolhossein Hemmati-Sarapardeh et al. FLUID PHASE EQUILIBRIA
- Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems
- (2013) Milad Arabloo et al. FLUID PHASE EQUILIBRIA
- Application of hybrid neural particle swarm optimization algorithm for prediction of MMP
- (2013) Hossein Sayyad et al. FUEL
- Experimental Determination of Interfacial Tension and Miscibility of the CO2–Crude Oil System; Temperature, Pressure, and Composition Effects
- (2013) Abdolhossein Hemmati-Sarapardeh et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Temperature and Composition Effect on CO2 Miscibility by Interfacial Tension Measurement
- (2013) Ali Zolghadr et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Miscible oil recovery utilizing N2 and/or HC gases in CO2 injection
- (2013) Hadi Belhaj et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Prediction of hydrocarbon densities using an artificial neural network–group contribution method up to high temperatures and pressures
- (2013) Majid Moosavi et al. THERMOCHIMICA ACTA
- Developing a feed forward neural network multilayer model for prediction of binary diffusion coefficient in liquids
- (2012) Reza Beigzadeh et al. FLUID PHASE EQUILIBRIA
- Viscosity prediction of ternary mixtures containing ILs using multi-layer perceptron artificial neural network
- (2012) Mostafa Lashkarblooki et al. FLUID PHASE EQUILIBRIA
- Artificial neural network as an applicable tool to predict the binary heat capacity of mixtures containing ionic liquids
- (2012) Mostafa Lashkarbolooki et al. FLUID PHASE EQUILIBRIA
- Computational procedure for determination of minimum miscibility pressure of reservoir oil
- (2012) Alireza Fazlali et al. FUEL
- Evaluation of Thermal Conductivity of Gases at Atmospheric Pressure through a Corresponding States Method
- (2012) Farhad Gharagheizi et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A fast and independent architecture of artificial neural network for permeability prediction
- (2012) Pejman Tahmasebi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Using artificial neural network to predict the ternary electrical conductivity of ionic liquid systems
- (2011) Ali Zeinolabedini Hezave et al. FLUID PHASE EQUILIBRIA
- Artificial neural network for permeability damage prediction due to sulfate scaling
- (2011) Reza Zabihi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Comparative evaluation of back-propagation neural network learning algorithms and empirical correlations for prediction of oil PVT properties in Iran oilfields
- (2011) Jalil Asadisaghandi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Enhanced Oil Recovery: An Update Review
- (2010) Vladimir Alvarado et al. Energies
- A new approach to improve neural networks' algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network (SCMNN)
- (2010) Sadegh Karimpouli et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Development of a neural fuzzy system for advanced prediction of dew point pressure in gas condensate reservoirs
- (2009) Saeed Nowroozi et al. FUEL PROCESSING TECHNOLOGY
- Artificial-Intelligence Technology Predicts Relative Permeability of Giant Carbonate Reservoirs
- (2009) Saud M. Al-Fattah et al. SPE RESERVOIR EVALUATION & ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now