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Journal Articles

Study of Flow Patterns in a Moving Bed Reactor for Chemical Looping Combustion Based on Machine Learning Methods

Yali Shao, Ramesh K. Agarwal, Xudong Wang, Baosheng Jin

J. Energy Resour. Technol. June 2023, 145(6): 062302.

Paper No: JERT-22-1806

DOI: https://doi.org/10.1115/1.4056562

Published Online: January 9, 2023

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Topics: Artificial neural networks, Feedforward control, Flow (Dynamics), Machine learning, Wedges, Combustion, Discrete element methods

Journal Articles

A Data-Driven Proxy Modeling Approach Adapted to Well Placement Optimization Problem

Rasool Amiri Kolajoobi, Mohammad Emami Niri, Shahram Amini, Yousof Haghshenas

J. Energy Resour. Technol. January 2023, 145(1): 013401.

Paper No: JERT-22-1049

DOI: https://doi.org/10.1115/1.4055908

Published Online: October 25, 2022

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Topics: Artificial neural networks, Modeling, Optimization, Reservoirs, Genetic algorithms

Journal Articles

Automatic Well Test Interpretation Method for Circular Reservoirs With Changing Wellbore Storage Using One-Dimensional Convolutional Neural Network

Xuliang Liu, Wenshu Zha, Daolun Li, Xiang Li, Luhang Shen

J. Energy Resour. Technol. March 2023, 145(3): 033201.

Paper No: JERT-21-1737

DOI: https://doi.org/10.1115/1.4055395

Published Online: September 14, 2022

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Topics: Artificial neural networks, Reservoirs, Storage, Pressure

Journal Articles

Genetic Algorithm Optimization of Deep Structured Classifier-Predictor Models for Pressure Transient Analysis

Rakesh Kumar Pandey, Anil Kumar, Ajay Mandal, Behzad Vaferi

J. Energy Resour. Technol. February 2023, 145(2): 023003.

Paper No: JERT-22-1429

DOI: https://doi.org/10.1115/1.4054896

Published Online: July 22, 2022

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Topics: Artificial neural networks, Genetic algorithms, Optimization, Pressure, Reservoirs, Signals, Transient analysis, Porosity, Noise (Sound), Transients (Dynamics)

Journal Articles

A Hybrid Approach Using Design of Experiment and Artificial Neural Network in a Camless Heavy-Duty Engine

Zhiqin Jia, Lucien Koopmans

J. Energy Resour. Technol. December 2022, 144(12): 122302.

Paper No: JERT-22-1107

DOI: https://doi.org/10.1115/1.4054533

Published Online: June 6, 2022

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Topics: Artificial neural networks, Engines, Experimental design, Pressure, Valves, Genetic algorithms, Exhaust gas recirculation, Silicon-on-insulator, Modeling

Journal Articles

Machine Learning Assisted Analysis of an Ammonia Engine Performance

Zhentao Liu, Jinlong Liu

J. Energy Resour. Technol. November 2022, 144(11): 112307.

Paper No: JERT-21-1965

DOI: https://doi.org/10.1115/1.4054287

Published Online: April 26, 2022

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Topics: Artificial neural networks, Combustion, Engines, Fuels, Machine learning, Algorithms, Compression, Ignition

Journal Articles

Employing Deep Learning Neural Networks for Characterizing Dual-Porosity Reservoirs Based on Pressure Transient Tests

Rakesh Kumar Pandey, Anil Kumar, Ajay Mandal, Behzad Vaferi

J. Energy Resour. Technol. November 2022, 144(11): 113002.

Paper No: JERT-22-1077

DOI: https://doi.org/10.1115/1.4054227

Published Online: April 12, 2022

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Topics: Artificial neural networks, Porosity, Pressure, Reservoirs, Transients (Dynamics), Regression models, Signals, Testing, Noise (Sound)

Journal Articles

Prediction of Short-Term Photovoltaic Power Via Self-Attention-Based Deep Learning Approach

Jie Li, Huimeng Niu, Fanxi Meng, Runran Li

J. Energy Resour. Technol. October 2022, 144(10): 101301.

Paper No: JERT-21-1815

DOI: https://doi.org/10.1115/1.4053738

Published Online: March 2, 2022

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Topics: Algorithms, Artificial neural networks, Errors, Weight (Mass), Energy generation, Resolution (Optics), Power grids, Solar cell arrays, Stability

Journal Articles

Localization of Thermal Wellbore Defects Using Machine Learning

Kathryn Bruss, Raymond Kim, Taylor A. Myers, Jiann-Cherng Su, Anirban Mazumdar

J. Energy Resour. Technol. September 2022, 144(9): 093005.

Paper No: JERT-21-1256

DOI: https://doi.org/10.1115/1.4053516

Published Online: February 16, 2022

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Topics: Algorithms, Machine learning, Sensors, Simulation, Temperature, Errors, Geothermal engineering, Artificial neural networks

Journal Articles

Recognition of Distributed Combustion Regime From Deep Learning

Rishi Roy, Ashwani K. Gupta

J. Energy Resour. Technol. September 2022, 144(9): 092303.

Paper No: JERT-21-2021

DOI: https://doi.org/10.1115/1.4053616

Published Online: February 16, 2022

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Topics: Artificial neural networks, Chemiluminescence, Combustion, Flames, Fuels, Carbon dioxide, Combustion chambers, Methane

Journal Articles

Evaluating the Effectiveness of Machine Learning Technologies in Improving Real-Time Drilling Data Quality

Salem Al-Gharbi, Abdulaziz Al-Majed, Salaheldin Elkatatny, Abdulazeez Abdulraheem

J. Energy Resour. Technol. September 2022, 144(9): 093002.

Paper No: JERT-21-2015

DOI: https://doi.org/10.1115/1.4053439

Published Online: February 9, 2022

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Topics: Artificial neural networks, Drilling, Machine learning, Support vector machines

Journal Articles

Multi-Objective Optimization of a Geothermal Steam Turbine Combined With Reverse Osmosis and Multi-Effect Desalination for Sustainable Freshwater Production

Aida Farsi, Marc A. Rosen

J. Energy Resour. Technol. May 2022, 144(5): 052102.

Paper No: JERT-21-1709

DOI: https://doi.org/10.1115/1.4053298

Published Online: January 13, 2022

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Topics: Exergy, Geothermal engineering, Pareto optimization, Reverse osmosis, Steam turbines, Artificial neural networks, Optimization, Seawater, Pressure, Design

Journal Articles

Comparison of Random Forest and Neural Network in Modeling the Performance and Emissions of a Natural Gas Spark Ignition Engine

Jinlong Liu, Qiao Huang, Christopher Ulishney, Cosmin E. Dumitrescu

J. Energy Resour. Technol. March 2022, 144(3): 032310.

Paper No: JERT-21-1797

DOI: https://doi.org/10.1115/1.4053301

Published Online: January 7, 2022

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Topics: Artificial neural networks, Emissions, Engines, Errors, Machine learning, Natural gas, Algorithms, Combustion, Modeling, Cylinders

Journal Articles

Intelligent Model for Predicting Downhole Vibrations Using Surface Drilling Data During Horizontal Drilling

Ramy Saadeldin, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem

J. Energy Resour. Technol. August 2022, 144(8): 083002.

Paper No: JERT-21-1799

DOI: https://doi.org/10.1115/1.4052794

Published Online: November 12, 2021

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Topics: Artificial neural networks, Drilling, Vibration, Machine learning

Journal Articles

Hybrid Multi-Objective Optimization Approach in Water Flooding

Mohammed Al-Aghbari, Ashish M. Gujarathi, Majid Al-Wadhahi, Nirupam Chakraborti

J. Energy Resour. Technol. June 2022, 144(6): 063008.

Paper No: JERT-21-1497

DOI: https://doi.org/10.1115/1.4052623

Published Online: October 25, 2021

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Topics: Ejectors, Optimization, Pareto optimization, Reservoirs, Simulation models, Underground injection, Water, Algorithms, Artificial neural networks

Journal Articles

Generation of Synthetic Sonic Slowness Logs From Real-Time Drilling Sensors Using Artificial Neural Network

Abdulazeez Abdulraheem

J. Energy Resour. Technol. January 2022, 144(1): 013201.

Paper No: JERT-21-1250

DOI: https://doi.org/10.1115/1.4052412

Published Online: September 30, 2021

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Topics: Artificial neural networks, Drilling, Shear (Mechanics), Testing

Journal Articles

Socio-Inspired Multi-Cohort Intelligence and Teaching-Learning-Based Optimization for Hydraulic Fracturing Parameters Design in Tight Formations

Temoor Muther, Fahad Iqbal Syed, Amirmasoud Kalantari Dahaghi, Shahin Negahban

J. Energy Resour. Technol. July 2022, 144(7): 073201.

Paper No: JERT-20-2053

DOI: https://doi.org/10.1115/1.4052182

Published Online: September 3, 2021

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Topics: Design, Electrical conductivity, Fracture (Materials), Fracture (Process), Hydraulic fracturing, Optimization, Optimization algorithms, Particle swarm optimization, Reservoirs, Teaching

Journal Articles

On the Application of Machine Learning in Savonius Wind Turbine Technology: An Estimation of Turbine Performance Using Artificial Neural Network and Genetic Expression Programming

Umang H. Rathod, Vinayak Kulkarni, Ujjwal K. Saha

J. Energy Resour. Technol. June 2022, 144(6): 061301.

Paper No: JERT-21-1247

DOI: https://doi.org/10.1115/1.4051736

Published Online: August 4, 2021

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Topics: Artificial neural networks, Computer programming, Savonius wind turbines, Rotors

Journal Articles

Real-Time Prediction of Litho-Facies From Drilling Data Using an Artificial Neural Network: A Comparative Field Data Study With Optimizing Algorithms

Romy Agrawal, Aashish Malik, Robello Samuel, Amit Saxena

J. Energy Resour. Technol. April 2022, 144(4): 043003.

Paper No: JERT-21-1461

DOI: https://doi.org/10.1115/1.4051573

Published Online: July 19, 2021

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Topics: Algorithms, Artificial neural networks, Drilling, Optimization

Journal Articles

Automatic Reservoir Model Identification Method based on Convolutional Neural Network

Xuliang Liu, Wenshu Zha, Zhankui Qi, Daolun Li, Yan Xing, Lei He

J. Energy Resour. Technol. April 2022, 144(4): 043002.

Paper No: JERT-20-2123

DOI: https://doi.org/10.1115/1.4051568

Published Online: July 15, 2021

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Topics: Artificial neural networks, Reservoirs, Pressure

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Journal citation

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Supplemental Material

Study of Flow Patterns in a Moving Bed Reactor for Chemical Looping Combustion Based on Machine Learning Methods

A Data-Driven Proxy Modeling Approach Adapted to Well Placement Optimization Problem

Automatic Well Test Interpretation Method for Circular Reservoirs With Changing Wellbore Storage Using One-Dimensional Convolutional Neural Network

Genetic Algorithm Optimization of Deep Structured Classifier-Predictor Models for Pressure Transient Analysis

A Hybrid Approach Using Design of Experiment and Artificial Neural Network in a Camless Heavy-Duty Engine

Machine Learning Assisted Analysis of an Ammonia Engine Performance

Employing Deep Learning Neural Networks for Characterizing Dual-Porosity Reservoirs Based on Pressure Transient Tests

Prediction of Short-Term Photovoltaic Power Via Self-Attention-Based Deep Learning Approach

Localization of Thermal Wellbore Defects Using Machine Learning

Recognition of Distributed Combustion Regime From Deep Learning

Evaluating the Effectiveness of Machine Learning Technologies in Improving Real-Time Drilling Data Quality

Multi-Objective Optimization of a Geothermal Steam Turbine Combined With Reverse Osmosis and Multi-Effect Desalination for Sustainable Freshwater Production

Comparison of Random Forest and Neural Network in Modeling the Performance and Emissions of a Natural Gas Spark Ignition Engine

Intelligent Model for Predicting Downhole Vibrations Using Surface Drilling Data During Horizontal Drilling

Hybrid Multi-Objective Optimization Approach in Water Flooding

Generation of Synthetic Sonic Slowness Logs From Real-Time Drilling Sensors Using Artificial Neural Network

Socio-Inspired Multi-Cohort Intelligence and Teaching-Learning-Based Optimization for Hydraulic Fracturing Parameters Design in Tight Formations

On the Application of Machine Learning in Savonius Wind Turbine Technology: An Estimation of Turbine Performance Using Artificial Neural Network and Genetic Expression Programming

Real-Time Prediction of Litho-Facies From Drilling Data Using an Artificial Neural Network: A Comparative Field Data Study With Optimizing Algorithms

Automatic Reservoir Model Identification Method based on Convolutional Neural Network

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