Enhanced group method of data handling (GMDH) for permeability prediction based on the modified Levenberg Marquardt technique from well log data

Using statistical approaches in permeability prediction in highly heterogeneous carbonate reservoirs

(2021) Faisal Awad Aljuboori et al.   CARBONATES AND EVAPORITES

Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques

(2021) Menad Nait Amar et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

New model for standpipe pressure prediction while drilling using Group Method of Data Handling

(2021) Mohamed Riad Youcefi et al.   Petroleum

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

Analysis of hydraulic conductivity of fractured groundwater flow media using artificial neural network back propagation

(2020) Tedy Agung Cahyadi et al.   NEURAL COMPUTING & APPLICATIONS

Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones

(2020) Hung Vo Thanh et al.   Scientific Reports

Predicting permeability via statistical learning on higher-order microstructural information

(2020) Magnus Röding et al.   Scientific Reports

A new approach for porosity and permeability prediction from well logs using artificial neural network and curve fitting techniques: A case study of Niger Delta, Nigeria

(2020) Job G. Urang et al.   JOURNAL OF APPLIED GEOPHYSICS

A two-step accelerated Levenberg–Marquardt method for solving multilinear systems in tensor-train format

(2020) Maolin Liang et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Predicting porosity, permeability, and tortuosity of porous media from images by deep learning

(2020) Krzysztof M. Graczyk et al.   Scientific Reports

Developing a robust correlation for prediction of sweet and sour gas hydrate formation temperature

(2020) Mohammad Mesbah et al.   Petroleum

Prediction of Porosity and Permeability Alteration Based on Machine Learning Algorithms

(2019) Andrei Erofeev et al.   TRANSPORT IN POROUS MEDIA

Oil Factor in Economic Development

(2019) Sugra Ingilab Humbatova et al.   Energies

Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-Processing Techniques

(2019) Chuanbo Shen et al.   Energies

A new integrated model of the group method of data handling and the firefly algorithm (GMDH-FA): application to aeration modelling on spillways

(2019) Amin Mahdavi-Meymand et al.   ARTIFICIAL INTELLIGENCE REVIEW

Impact of the East African Rift System on the routing of the deep‐water drainage network offshore Tanzania, western Indian Ocean

(2019) Vittorio Maselli et al.   BASIN RESEARCH

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

Modeling natural gas compressibility factor using a hybrid group method of data handling

(2019) Abdolhossein Hemmati-Sarapardeh et al.   Engineering Applications of Computational Fluid Mechanics

An improved artificial neural network based on human-behaviour particle swarm optimization and cellular automata

(2019) Yue Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new modified Levenberg-Marquardt algorithm for identifying the temperature-dependent conductivity of solids based on the radial integration boundary element method

(2019) Kai Yang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Experimental Investigation on Permeability and Porosity Hysteresis of Tight Formations

(2018) Tadesse W. Teklu et al.   SPE JOURNAL

Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity and Permeability

(2018) Solomon Asante-Okyere et al.   Energies

Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

(2017) Fabrizio Ascione et al.   ENERGY

A new method for permeability estimation from conventional well logs in glutenite reservoirs

(2017) Bo Shen et al.   Journal of Geophysics and Engineering

Analysis of heterogeneity and permeability anisotropy in carbonate rock samples using digital rock physics

(2017) Huafeng Sun et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Deformation and sedimentary evolution of the Lake Albert Rift (Uganda, East African Rift System)

(2017) Brendan Simon et al.   MARINE AND PETROLEUM GEOLOGY

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

(2017) Salaheldin Elkatatny et al.   NEURAL COMPUTING & APPLICATIONS

Use of group method of data handling for transport energy demand modeling

(2017) Geer Teng et al.   Energy Science & Engineering

A modified Levenberg–Marquardt algorithm for simultaneous estimation of multi-parameters of boundary heat flux by solving transient nonlinear inverse heat conduction problems

(2016) Miao Cui et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

A computationally efficient parallel Levenberg-Marquardt algorithm for highly parameterized inverse model analyses

(2016) Youzuo Lin et al.   WATER RESOURCES RESEARCH

An optimized classification algorithm by BP neural network based on PLS and HCA

(2015) Weikuan Jia et al.   APPLIED INTELLIGENCE

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

Forecasting Natural Gas Production Using Various Regression Models

(2015) G. Aydin   PETROLEUM SCIENCE AND TECHNOLOGY

Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

(2015) Fatai Adesina Anifowose et al.   Journal of Natural Gas Science and Engineering

Production Modeling in the Oil and Natural Gas Industry: An Application of Trend Analysis

(2014) G. Aydin   PETROLEUM SCIENCE AND TECHNOLOGY

Prediction of porosity in crystalline rocks using artificial neural networks: An example from the Chinese Continental Scientific Drilling Main hole

(2014) Ahmed Amara Konaté et al.   STUDIA GEOPHYSICA ET GEODAETICA

A comparison study of using optimization algorithms and artificial neural networks for predicting permeability

(2013) Hossein Kaydani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Extended artificial neural networks: Incorporation of a priori chemical knowledge enables use of ion selective electrodes for in-situ measurement of ions at environmentally relevant levels

(2013) Amy V. Mueller et al.   TALANTA

A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides

(2012) Márcio Dorn et al.   EXPERT SYSTEMS WITH APPLICATIONS

Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization

(2012) Mohammad Ali Ahmadi et al.   GEOPHYSICAL PROSPECTING

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

Forecasting of CO2 emissions from fuel combustion using trend analysis

(2010) Aylin Çiğdem Köne et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS