Related references
Note: Only part of the references are listed.Modeling of wax disappearance temperature (WDT) using soft computing approaches: Tree-based models and hybrid models
Behnam Amiri-Ramsheh et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques
Mehdi Mahdaviara et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network
Aydin Larestani et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Predicting viscosity of CO2-N2 gaseous mixtures using advanced intelligent schemes
Arefeh Naghizadeh et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Comparison of machine learning techniques for predicting porosity of chalk
Meysam Nourani et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
Masoud Zanganeh Kamali et al.
MARINE AND PETROLEUM GEOLOGY (2022)
Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques
Menad Nait Amar et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Experimental measurement and compositional modeling of bubble point pressure in crude oil systems: Soft computing approaches, correlations, and equations of state
Aydin Larestani et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree
Aydin Larestani et al.
Alexandria Engineering Journal (2022)
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
Sina Rashidi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)
Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field
Abbas Hashemizadeh et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)
Machine Learning-Based Improved Pressure-Volume-Temperature Correlations for Black Oil Reservoirs
Zeeshan Tariq et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2021)
Non-Newtonian fluid flow dynamics in rotating annular media: Physics-based and data-driven modeling
Reza Ershadnia et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)
Modeling climate change impact on wind power resources using adaptive neuro-fuzzy inference system
Narjes Nabipour et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2020)
Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models
Masoud Seyyedattar et al.
FUEL (2020)
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amirhosein Mosavi et al.
MATHEMATICS (2020)
Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines
Shahaboddin Shamshirband et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2020)
A Hybrid clustering and classification technique for forecasting short-term energy consumption
Mehrnoosh Torabi et al.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY (2019)
Application of generalized regression neural network method for corrosion modeling of steel embedded in soil
Ling Ding et al.
SOILS AND FOUNDATIONS (2019)
Application of decision tree, artificial neural networks, and adaptive neuro-fuzzy inference system on predicting lost circulation: A case study from Marun oil field
Mohammad Sabah et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
Evolving new strategies to estimate reservoir oil formation volume factor: Smart modeling and correlation development
Hamid Reza Saghafi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
Modeling oil-brine interfacial tension at high pressure and high salinity conditions
Menad Nait Amar et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment
Abdolhossein Hemmati-Sarapardeh et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Generalized regression and feed forward back propagation neural networks in modelling flammability characteristics of polymethyl methacrylate (PMMA)
Solomon Asante-Okyere et al.
THERMOCHIMICA ACTA (2018)
Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Muhammad Waseem Ahmad et al.
JOURNAL OF CLEANER PRODUCTION (2018)
iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
Shaherin Basith et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2018)
ACCURATE DETERMINATION OF THE CO2-CRUDE OIL MINIMUM MISCIBILITY PRESSURE OF PURE AND IMPURE CO2 STREAMS: A ROBUST MODELLING APPROACH
Abdolhossein Hemmati-Sarapardeh et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2016)
On the evaluation of thermal conductivity of ionic liquids: Modeling and data assessment
Saeid Atashrouz et al.
JOURNAL OF MOLECULAR LIQUIDS (2016)
A soft computing approach for the determination of crude oil viscosity: Light and intermediate crude oil systems
Abdolhossein Hemmati-Sarapardeh et al.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS (2016)
Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel-Bulkley drilling fluids in oil drilling
Reza Rooki
MEASUREMENT (2016)
Toward prediction of petroleum reservoir fluids properties: A rigorous model for estimation of solution gas-oil ratio
Seyed-Morteza Tohidi-Hosseini et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)
Application of Wilcoxon generalized radial basis function network for prediction of natural gas compressibility factor
MohammadHadi Shateri et al.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS (2015)
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
V. Rodriguez-Galiano et al.
ORE GEOLOGY REVIEWS (2015)
Rapid method for the determination of solution gas-oil ratios of petroleum reservoir fluids
Hamid Baniasadi et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2015)
Implementing ANFIS for prediction of reservoir oil solution gas-oil ratio
Hossein Ali Zamani et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2015)
Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems
Milad Arabloo et al.
FLUID PHASE EQUILIBRIA (2014)
Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids
Mohsen Hosseinzadeh et al.
JOURNAL OF MOLECULAR LIQUIDS (2014)
Investigating vapor-liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network
Mostafa Lashkarbolooki et al.
FLUID PHASE EQUILIBRIA (2013)
Implementation of SVM framework to estimate PVT properties of reservoir oil
Shahin Rafiee-Taghanaki et al.
FLUID PHASE EQUILIBRIA (2013)
Estimation of bubble point pressure from PVT data using a power-law committee with intelligent systems
Mojtaba Asoodeh et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2012)
Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
V. F. Rodriguez-Galiano et al.
REMOTE SENSING OF ENVIRONMENT (2012)
PVT correlations for Indian crude using artificial neural networks
Sarit Dutta et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2010)
Generalized Regression Neural Networks and Feed Forward Neural Networks for prediction of scour depth around bridge piers
Mahmut Firat et al.
ADVANCES IN ENGINEERING SOFTWARE (2009)
Estimation of research reactor core parameters using cascade feed forward artificial neural networks
Afshin Hedayat et al.
PROGRESS IN NUCLEAR ENERGY (2009)
Public transportation trip flow modeling with generalized regression neural networks
Hilmi Berk Celikoglu et al.
ADVANCES IN ENGINEERING SOFTWARE (2007)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Accurate estimation of the world crude oil PVT properties using graphical alternating conditional expectation
A Malallah et al.
ENERGY & FUELS (2006)
Generalized regression neural network in modelling river sediment yield
HK Cigizoglu et al.
ADVANCES IN ENGINEERING SOFTWARE (2006)
Modeling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN)
SG Kulkarni et al.
BIOCHEMICAL ENGINEERING JOURNAL (2004)
Share Paper
