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Journal Articles

Transforming Oil Well Drilling: Prediction of Real-Time Rate of Penetration with Novel Machine Learning Approach in Varied Lithological Formations

Accepted Manuscript
Raunak Gupta, Uttam Kumar Bhui
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol.
Paper No: JERT-24-1273
https://doi.org/10.1115/1.4066015
Published Online: July 19, 2024
View Article titled, Transforming Oil Well Drilling: Prediction of Real-Time Rate of Penetration with Novel Machine Learning Approach in Varied Lithological Formations
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Topics: Drilling, Machine learning, Oil well drilling, Wells, Ablation (Vaporization technology), Algorithms, Artificial neural networks, Bits (Tools), Construction, Errors
Journal Articles

A Novel Data Assimilation-Based Real-Time State Estimation Method for Gas Influx Profiling During Riser Gas Events

Chen Wei, Jagadeeshwar L. Tabjula, Jyotsna Sharma, Yuanhang Chen
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2023, 145(9): 092901.
Paper No: JERT-22-1800
https://doi.org/10.1115/1.4056724
Published Online: March 13, 2023
View Article titled, A Novel Data Assimilation-Based Real-Time State Estimation Method for Gas Influx Profiling During Riser Gas Events
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Topics: Inflow, Kalman filters, Pipeline risers, Pressure, Risers (Casting), State estimation, Porosity, Errors, Uncertainty, Pumps
Journal Articles

A Semi-Analytical Approach for Calculating Productivity Index in Vertical Flowing Well: High Gas-Oil Ratio Field Data as a Case Study

Adesina Fadairo, Kegang Ling, Vamegh Rasouli, Gbadegesin Adeyemi
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. November 2022, 144(11): 113006.
Paper No: JERT-21-1868
https://doi.org/10.1115/1.4054421
Published Online: May 16, 2022
View Article titled, A Semi-Analytical Approach for Calculating Productivity Index in Vertical Flowing Well: High Gas-Oil Ratio Field Data as a Case Study
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Topics: Flow (Dynamics), Pipes, Pressure, Wells, Water, Fluids, Steady state, Errors, Reliability, Petroleum
Journal Articles

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

Jie Li, Huimeng Niu, Fanxi Meng, Runran Li
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. October 2022, 144(10): 101301.
Paper No: JERT-21-1815
https://doi.org/10.1115/1.4053738
Published Online: March 2, 2022
View Article titled, Prediction of Short-Term Photovoltaic Power Via Self-Attention-Based Deep Learning Approach
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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
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2022, 144(9): 093005.
Paper No: JERT-21-1256
https://doi.org/10.1115/1.4053516
Published Online: February 16, 2022
View Article titled, Localization of Thermal Wellbore Defects Using Machine Learning
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Topics: Algorithms, Machine learning, Sensors, Simulation, Temperature, Errors, Geothermal engineering, Artificial neural networks
Journal Articles

Genetic Optimization for Engine Combustion System Calibration: A Case Study of Optimization Performance Sensitivity to Algorithm Search Parameters

Andrew B. Mansfield, Varun Chakrapani, Qingyu Li, Margaret S. Wooldridge
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. August 2022, 144(8): 082308.
Paper No: JERT-21-1742
https://doi.org/10.1115/1.4053347
Published Online: January 21, 2022
View Article titled, Genetic Optimization for Engine Combustion System Calibration: A Case Study of Optimization Performance Sensitivity to Algorithm Search Parameters
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Topics: Algorithms, Calibration, Combustion systems, Engines, Nitrogen oxides, Optimization, Optimization algorithms, Errors
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
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. March 2022, 144(3): 032310.
Paper No: JERT-21-1797
https://doi.org/10.1115/1.4053301
Published Online: January 7, 2022
View Article titled, Comparison of Random Forest and Neural Network in Modeling the Performance and Emissions of a Natural Gas Spark Ignition Engine
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Topics: Artificial neural networks, Emissions, Engines, Errors, Machine learning, Natural gas, Algorithms, Combustion, Modeling, Cylinders
Journal Articles

Economic Control for a Residential Photovoltaic-Battery System by Combining Stochastic Model Predictive Control and Improved Correction Strategy

Xinchen Deng, Zhongwei Deng, Ziyou Song, Xianke Lin, Xiaosong Hu
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Technical Briefs
J. Energy Resour. Technol. May 2022, 144(5): 054501.
Paper No: JERT-21-1201
https://doi.org/10.1115/1.4051735
Published Online: July 30, 2021
View Article titled, Economic Control for a Residential Photovoltaic-Battery System by Combining Stochastic Model Predictive Control and Improved Correction Strategy
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Topics: Batteries, Economics , Flow (Dynamics), Predictive control, Uncertainty, Errors, Energy storage, Stress, Power grids, Energy generation
Journal Articles

Machine Learning Integration With Combustion Physics to Develop a Composite Predictive Model for Reactivity Controlled Compression Ignition Engine

Chinmaya Mishra, P. M. V. Subbarao
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. April 2022, 144(4): 042302.
Paper No: JERT-21-1196
https://doi.org/10.1115/1.4051570
Published Online: July 15, 2021
View Article titled, Machine Learning Integration With Combustion Physics to Develop a Composite Predictive Model for Reactivity Controlled Compression Ignition Engine
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Topics: Combustion, Composite materials, Engines, Machine learning, Physics, Pressure, Errors, Cycles, Fuels
Journal Articles

A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons

Zeeshan Tariq, Amjed Hassan, Umair Bin Waheed, Mohamed Mahmoud, Dhafer Al-Shehri, Abdulazeez Abdulraheem, Esmail M. A. Mokheimer
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2021, 143(9): 092801.
Paper No: JERT-21-1396
https://doi.org/10.1115/1.4051259
Published Online: June 9, 2021
View Article titled, A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons
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Topics: Artificial neural networks, Density, Machine learning, Natural gas, Pressure, Errors, Temperature, Modeling, Molecular weight
Journal Articles

Leveraging Machine Learning (Artificial Neural Networks) for Enhancing Performance and Reliability of Thermal Energy Storage Platforms Utilizing Phase Change Materials

Aditya Chuttar, Ashok Thyagarajan, Debjyoti Banerjee
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. February 2022, 144(2): 022001.
Paper No: JERT-21-1205
https://doi.org/10.1115/1.4051048
Published Online: May 31, 2021
View Article titled, Leveraging Machine Learning (Artificial Neural Networks) for Enhancing Performance and Reliability of Thermal Energy Storage Platforms Utilizing Phase Change Materials
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Topics: Artificial neural networks, Reliability, Phase change materials, Temperature, Thermal energy storage, Machine learning, Errors
Journal Articles

Accurate Boundary Layer Measurements Using Hot-Wire Anemometry—Improvements and Error Analysis

Silvio Chemnitz, Reinhard Niehuis
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. January 2022, 144(1): 012110.
Paper No: JERT-20-2110
https://doi.org/10.1115/1.4051095
Published Online: May 27, 2021
View Article titled, Accurate Boundary Layer Measurements Using Hot-Wire Anemometry—Improvements and Error Analysis
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Topics: Boundary layers, Errors, Heat, Uncertainty, Wire, Probes, Sensors, Error analysis
Journal Articles

Prediction of Calorific Value of Coal by Multilinear Regression and Analysis of Variance

M. Sözer, H. Haykiri-Acma, S. Yaman
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. January 2022, 144(1): 012103.
Paper No: JERT-20-1900
https://doi.org/10.1115/1.4050880
Published Online: May 13, 2021
View Article titled, Prediction of Calorific Value of Coal by Multilinear Regression and Analysis of Variance
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Topics: Coal, Errors, Heating
Journal Articles

Experimental Study on a New Small-Scale Absorption System: Response Surface and Inverse Analyses

Gaurav Singh, Ranjan Das
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2021, 143(9): 092103.
Paper No: JERT-20-2040
https://doi.org/10.1115/1.4050782
Published Online: May 3, 2021
View Article titled, Experimental Study on a New Small-Scale Absorption System: Response Surface and Inverse Analyses
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Topics: Absorption, Condensers (steam plant), Generators, Heat transfer coefficients, Response surface methodology, Temperature, Water, Heat, Design, Hot water
Journal Articles

Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques

Hany Gamal, Ahmed Alsaihati, Salaheldin Elkatatny, Saleh Haidary, Abdulazeez Abdulraheem
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2021, 143(9): 093004.
Paper No: JERT-20-1898
https://doi.org/10.1115/1.4050843
Published Online: May 3, 2021
View Article titled, Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques
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Topics: Artificial intelligence, Drilling, Principal component analysis, Rocks, Testing, Errors, Reservoirs, Compressive strength, Petroleum industry
Journal Articles

Machine Learning-Based Improved Pressure–Volume–Temperature Correlations for Black Oil Reservoirs

Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. November 2021, 143(11): 113003.
Paper No: JERT-21-1031
https://doi.org/10.1115/1.4050579
Published Online: April 19, 2021
View Article titled, Machine Learning-Based Improved Pressure–Volume–Temperature Correlations for Black Oil Reservoirs
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Topics: Algorithms, Artificial neural networks, Hydrocarbon reservoirs, Machine learning, Machinery, Modeling, Particle swarm optimization, Petroleum engineering, Pressure, Reservoirs
Journal Articles

An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

Opeoluwa Owoyele, Pinaki Pal, Alvaro Vidal Torreira
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. August 2021, 143(8): 082305.
Paper No: JERT-21-1175
https://doi.org/10.1115/1.4050489
Published Online: April 9, 2021
View Article titled, An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization
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Topics: Algorithms, Design, Errors, Machinery, Optimization, Computational fluid dynamics, Simulation, Engines
Journal Articles

Experimental Evaluation of Volatile Organic Compound Quantification Methods for Reciprocating Natural Gas Engines

Brenna King, Mukund Venkitachalam, Daniel Olsen
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. July 2021, 143(7): 072303.
Paper No: JERT-20-2102
https://doi.org/10.1115/1.4050005
Published Online: February 26, 2021
View Article titled, Experimental Evaluation of Volatile Organic Compound Quantification Methods for Reciprocating Natural Gas Engines
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Topics: Emissions, Engines, Exhaust systems, Flames, Fourier transform infrared spectroscopy, Fuels, Gas engines, Methane, Organic compounds, Sensors
Journal Articles

Analysis and Modeling of Liquid Holdup in Low Liquid Loading Two-Phase Flow Using Computational Fluid Dynamics and Experimental Data

Miguel Ballesteros, Nicolás Ratkovich, Eduardo Pereyra
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. January 2021, 143(1): 012105.
Paper No: JERT-19-1553
https://doi.org/10.1115/1.4047604
Published Online: August 3, 2020
View Article titled, Analysis and Modeling of Liquid Holdup in Low Liquid Loading Two-Phase Flow Using Computational Fluid Dynamics and Experimental Data
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Topics: Computational fluid dynamics, Flow (Dynamics), Fluids, Modeling, Physics, Pipelines, Pipes, Simulation, Errors, Condensed matter
Journal Articles

Improved Method for the Estimation of Minimum Miscibility Pressure for Pure and Impure CO 2 –Crude Oil Systems Using Gaussian Process Machine Learning Approach

Gerald Kelechi Ekechukwu, Olugbenga Falode, Oyinkepreye David Orodu
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. December 2020, 142(12): 123003.
Paper No: JERT-19-1692
https://doi.org/10.1115/1.4047322
Published Online: June 12, 2020
View Article titled, Improved Method for the Estimation of Minimum Miscibility Pressure for Pure and Impure CO 2 –Crude Oil Systems Using Gaussian Process Machine Learning Approach
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Topics: Carbon dioxide, Errors, Machine learning, Pressure, Crude oil, Tertiary petroleum recovery