Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling

On the evaluation of solubility of hydrogen sulfide in ionic liquids using advanced committee machine intelligent systems

(2021) Menad Nait Amar et al.   Journal of the Taiwan Institute of Chemical Engineers

Toward a realistic reconstruction and determination of blood flow pattern in complex vascular network: 3D, non-Newtonian, multi-branch simulation based on CFD and GMDH algorithm

(2021) Reza Roohi et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

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

(2021) Mohammad Farsi et al.   MEASUREMENT

Prediction of Permeability Using Group Method of Data Handling (GMDH) Neural Network from Well Log Data

(2020) Baraka Mathew Nkurlu et al.   Energies

State-of-the-art modeling permeability of the heterogeneous carbonate oil reservoirs using robust computational approaches

(2020) Mehdi Mahdaviara et al.   FUEL

Applying hybrid support vector regression and genetic algorithm to water alternating CO 2 gas EOR

(2020) Menad Nait Amar et al.   Greenhouse Gases-Science and Technology

Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches

(2020) Frank Male et al.   Journal of Natural Gas Science and Engineering

Fractal characterization of permeability prediction model in hydrate-bearing porous media

(2020) Pengbin Du et al.   CHEMICAL ENGINEERING SCIENCE

Prediction of CO2 diffusivity in brine using white-box machine learning

(2020) Menad Nait Amar et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Modeling relative permeability of gas condensate reservoirs: Advanced computational frameworks

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

Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data

(2020) Rana Muhammad Adnan et al.   NEURAL COMPUTING & APPLICATIONS

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

(2020) Mahdi Panahi et al.   JOURNAL OF HYDROLOGY

Predicting thermal conductivity of carbon dioxide using group of data-driven models

(2020) Menad Nait Amar et al.   Journal of the Taiwan Institute of Chemical Engineers

Prediction of Disc Cutter Life during Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network

(2020) Khalid Elbaz et al.   Engineering

Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models

(2020) Daniel Adedayo Adeyinka et al.   BMC Medical Research Methodology

Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery

(2020) Mehdi Mahdaviara et al.   FUEL

A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data

(2019) Fatai Anifowose et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Application of a Convolutional Neural Network (CNN) in Permeability Prediction: A Case Study in the Jacksonburg-Stringtown Oil Field, West Virginia, USA

(2019) Zhi Zhong et al.   GEOPHYSICS

Fast prediction of reservoir permeability based on EFS-LightGBM using direct logging data

(2019) Kai-Bo Zhou et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing

(2019) Sima Jeddi et al.   APPLIED SOFT COMPUTING

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

Predicting porosity, permeability and water saturation applying an optimized nearest-neighbour, machine-learning and data-mining network of well-log data

(2019) David A. Wood   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Permeability prediction and diagenesis in tight carbonates using machine learning techniques

(2019) H. Al Khalifah et al.   MARINE AND PETROLEUM GEOLOGY

Investigation of Pore Characteristics and Irreducible Water Saturation of Tight Reservoir Using Experimental and Theoretical Methods

(2018) Fengpeng Lai et al.   ENERGY & FUELS

Wavelet support vector machine-based prediction model of dam deformation

(2018) Huaizhi Su et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rigorous prognostication of permeability of heterogeneous carbonate oil reservoirs: Smart modeling and correlation development

(2018) Alireza Rostami et al.   FUEL

A data-driven model for predicting the effect of temperature on oil-water relative permeability

(2018) Sajjad Esmaeili et al.   FUEL

Prediction of oil-water relative permeability in sandstone and carbonate reservoir rocks using the CSA-LSSVM algorithm

(2018) Sadra Rostami et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of oil-water relative permeability with a fractal method in ultra-high water cut stage

(2018) Cuo Guan et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Relationships among composition, porosity and permeability of Longmaxi Shale reservoir in the Weiyuan Block, Sichuan Basin, China

(2018) Qingtao Wang et al.   MARINE AND PETROLEUM GEOLOGY

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

Factors controlling permeability of cataclastic deformation bands and faults in porous sandstone reservoirs

(2015) Gregory Ballas et al.   JOURNAL OF STRUCTURAL GEOLOGY

Evaluation of GMDH networks for prediction of local scour depth at bridge abutments in coarse sediments with thinly armored beds

(2015) Mohammad Najafzadeh et al.   OCEAN ENGINEERING

A new fracture prediction method by combining genetic algorithm with neural network in low-permeability reservoirs

(2014) Yongchao Xue et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of permeability in a tight gas reservoir by using three soft computing approaches: A comparative study

(2014) Sadegh Baziar et al.   Journal of Natural Gas Science and Engineering

An annual load forecasting model based on support vector regression with differential evolution algorithm

(2012) Jianjun Wang et al.   APPLIED ENERGY

Medium-term electric load forecasting using singular value decomposition

(2011) Nazih Abu-Shikhah et al.   ENERGY

Rock-physics-based carbonate pore type characterization and reservoir permeability heterogeneity evaluation, Upper San Andres reservoir, Permian Basin, west Texas

(2011) Qifeng Dou et al.   JOURNAL OF APPLIED GEOPHYSICS

A support vector machine algorithm to classify lithofacies and model permeability in heterogeneous reservoirs

(2010) A. Al-Anazi et al.   ENGINEERING GEOLOGY

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

Energy demand prediction using GMDH networks

(2008) Dipti Srinivasan   NEUROCOMPUTING

A study of absolute permeability dependence on pore-scale characteristics of carbonate reservoirs using artificial intelligence

(2008) Basar Basbug et al.   International Journal of Oil Gas and Coal Technology

Modelling and Pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms

(2007) N. Amanifard et al.   ENERGY CONVERSION AND MANAGEMENT