Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs

Determination of Bubble Point Pressure & Oil Formation Volume Factor of Crude Oils Applying Multiple Hidden Layers Extreme Learning Machine Algorithms

(2021) Sina Rashidi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Analysis of the performance of a crude-oil desalting system based on historical data

(2021) Ehsan Ranaee et al.   FUEL

Prediction of oil flow rate through orifice flow meters: Optimized machine-learning techniques

(2021) Mohammad Farsi et al.   MEASUREMENT

Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models

(2020) Masoud Seyyedattar et al.   FUEL

Hybrid geological modeling: Combining machine learning and multiple-point statistics

(2020) Tao Bai et al.   COMPUTERS & GEOSCIENCES

Lithofacies prediction in non-cored wells from the Sif Fatima oil field (Berkine basin, southern Algeria): A comparative study of multilayer perceptron neural network and cluster analysis-based approaches

(2020) Ouafi Ameur-Zaimeche et al.   JOURNAL OF AFRICAN EARTH SCIENCES

Modeling relative permeability of gas condensate reservoirs: Advanced computational frameworks

(2020) Mehdi Mahdaviara et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Modeling viscosity of light and intermediate dead oil systems using advanced computational frameworks and artificial neural networks

(2020) Ehsan Khamehchi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes

(2020) Hamzeh Ghorbani et al.   FLOW MEASUREMENT AND INSTRUMENTATION

Shear modulus prediction of embedded pressurized salt layers and pinpointing zones at risk of casing collapse in oil and gas wells

(2020) Sina Rashidi et al.   JOURNAL OF APPLIED GEOPHYSICS

Machine learning augmented dead oil viscosity model for all oil types

(2020) Utkarsh Sinha et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning

(2020) Nima Mohamadian et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

The application of supervised machine learning techniques for multivariate modelling of gas component viscosity: A comparative study

(2020) Hamid Rahmanifard et al.   FUEL

A hybrid nanocomposite of poly(styrene-methyl methacrylate- acrylic acid) /clay as a novel rheology-improvement additive for drilling fluids

(2019) Nima Mohamadian et al.   JOURNAL OF POLYMER RESEARCH

Geological CO2 Capture and Storage with Flue Gas Hydrate Formation in Frozen and Unfrozen Sediments: Method Development, Real Time-Scale Kinetic Characteristics, Efficiency, and Clathrate Structural Transition

(2019) Aliakbar Hassanpouryouzband et al.   ACS Sustainable Chemistry & Engineering

Estimating Adaptive Setpoint Temperatures Using Weather Stations

(2019) David Bienvenido-Huertas et al.   Energies

PP-NFR: an improved hybrid learning approach for porosity prediction from seismic attributes using non-linear feature reduction

(2019) Jatin Bedi et al.   JOURNAL OF APPLIED GEOPHYSICS

Modelling viscosity of liquid dropout near wellbore region in gas condensate reservoirs using modern numerical approaches

(2019) Foad Faraji et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An Experimental Investigation on the Kinetics of Integrated Methane Recovery and CO2 Sequestration by Injection of Flue Gas into Permafrost Methane Hydrate Reservoirs

(2019) Aliakbar Hassanpouryouzband et al.   Scientific Reports

High-pressure responses of alkali metal hydrogen carbonates, RbHCO3 and CsHCO3: Findings of new phases and unique compressional behavior

(2019) Riko Iizuka-Oku et al.   JOURNAL OF SOLID STATE CHEMISTRY

A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems

(2018) İbrahim Berkan Aydilek   APPLIED SOFT COMPUTING

CO2 Capture by Injection of Flue Gas or CO2–N2 Mixtures into Hydrate Reservoirs: Dependence of CO2 Capture Efficiency on Gas Hydrate Reservoir Conditions

(2018) Aliakbar Hassanpouryouzband et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Rigorous prognostication of natural gas viscosity: Smart modeling and comparative study

(2018) Alireza Rostami et al.   FUEL

A hybrid particle swarm optimization algorithm using adaptive learning strategy

(2018) Feng Wang et al.   INFORMATION SCIENCES

Chaotic dynamic weight particle swarm optimization for numerical function optimization

(2018) Ke Chen et al.   KNOWLEDGE-BASED SYSTEMS

Insights into CO2 Capture by Flue Gas Hydrate Formation: Gas Composition Evolution in Systems Containing Gas Hydrates and Gas Mixtures at Stable Pressures

(2018) Aliakbar Hassanpouryouzband et al.   ACS Sustainable Chemistry & Engineering

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

(2018) Iftikhar Ahmad et al.   IEEE Access

Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method

(2018) David Bienvenido-Huertas et al.   APPLIED ENERGY

Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

(2018) Khaled Abdelgawad et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Machine learning technique for the prediction of shear wave velocity using petrophysical logs

(2018) Mohammad Anemangely et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Short-Term Electricity-Load Forecasting Using a TSK-Based Extreme Learning Machine with Knowledge Representation

(2017) Chan-Uk Yeom et al.   Energies

Comparison of linear regression and artificial neural networks models to predict heating and cooling energy demand, energy consumption and CO 2 emissions

(2017) Rafael Pino-Mejías et al.   ENERGY

Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures

(2017) Shivarudhrappa Raghu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improved predictions of wellhead choke liquid critical-flow rates: Modelling based on hybrid neural network training learning based optimization

(2017) Abouzar Choubineh et al.   FUEL

Modeling gas/vapor viscosity of hydrocarbon fluids using a hybrid GMDH-type neural network system

(2017) Atefeh Dargahi-Zarandi et al.   JOURNAL OF MOLECULAR LIQUIDS

A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir

(2017) Kabiru. O. Akande et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of gas flow rates from gas condensate reservoirs through wellhead chokes using a firefly optimization algorithm

(2017) Hamzeh Ghorbani et al.   Journal of Natural Gas Science and Engineering

Multi layer ELM-RBF for multi-label learning

(2016) Nan Zhang et al.   APPLIED SOFT COMPUTING

Extreme learning machine assessment for estimating sediment transport in open channels

(2016) Isa Ebtehaj et al.   ENGINEERING WITH COMPUTERS

The lattice Boltzmann method for isothermal micro-gaseous flow and its application in shale gas flow: A review

(2016) Junjian Wang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A novel multi-hybrid model for estimating optimal viscosity correlations of Iranian crude oil

(2016) Bahram Ghorbani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Evaluation of soil-concrete interface shear strength based on LS-SVM

(2016) Chunshun Zhang et al.   Geomechanics and Engineering

Short-term wind power prediction based on LSSVM–GSA model

(2015) Xiaohui Yuan et al.   ENERGY CONVERSION AND MANAGEMENT

What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

(2015) Guang-Bin Huang   Cognitive Computation

Robust Modeling Approach for Estimation of Compressibility Factor in Retrograde Gas Condensate Systems

(2014) Mohammad M. Ghiasi et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Experimental measurement and modeling of saturated reservoir oil viscosity

(2014) Abdolhossein Hemmati-Sarapardeh et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

A hybrid artificial neural network and genetic algorithm for predicting viscosity of Iranian crude oils

(2014) Bahram Ghorbani et al.   Journal of Natural Gas Science and Engineering

Toward reservoir oil viscosity correlation

(2013) Abdolhossein Hemmati-Sarapardeh et al.   CHEMICAL ENGINEERING SCIENCE

Reservoir oil viscosity determination using a rigorous approach

(2013) Abdolhossein Hemmati-Sarapardeh et al.   FUEL

Evolving smart approach for determination dew point pressure through condensate gas reservoirs

(2013) Mohammad Ali Ahmadi et al.   FUEL

Toward a predictive model for estimating dew point pressure in gas condensate systems

(2013) Milad Arabloo et al.   FUEL PROCESSING TECHNOLOGY

Viscosity of binary and multicomponent hydrocarbon fluids at high pressure and high temperature conditions: Measurements and predictions

(2013) Khalil Kashefi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Extreme learning machine and its applications

(2013) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of Condensate-to-Gas Ratio for Retrograde Gas Condensate Reservoirs Using Artificial Neural Network with Particle Swarm Optimization

(2012) Sohrab Zendehboudi et al.   ENERGY & FUELS

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Hybrid computational models for the characterization of oil and gas reservoirs

(2010) Tarek Helmy et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gas Condensate Reservoir Performance

(2010) F.B. Thomas et al.   JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY