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Journal Articles

Downdraft Gasification for Biogas Production: The Role of Artificial Intelligence

Vandana Sharma, Kamal Upreti, Arul Kumar Natarajan, Nishi Jain, Sanjay Kumar, Anant Rajee Bara, Sushma Kumari
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Review Articles
J. Energy Resour. Technol. December 2024, 146(12): 120801.
Paper No: JERT-24-1353
https://doi.org/10.1115/1.4066059
Published Online: August 20, 2024
View Article titled, Downdraft Gasification for Biogas Production: The Role of Artificial Intelligence
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Topics: Artificial intelligence, Artificial neural networks, Biogas, Feedstock, Fuel gasification, Optimization, Waste management, Biomass, Design, Agricultural wastes
Journal Articles

Advancements and Challenges in Integrating Renewable Energy Sources Into Distribution Grid Systems: A Comprehensive Review

Surender Singh, Saurabh Singh
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Review Articles
J. Energy Resour. Technol. September 2024, 146(9): 090801.
Paper No: JERT-23-1916
https://doi.org/10.1115/1.4065503
Published Online: June 10, 2024
View Article titled, Advancements and Challenges in Integrating Renewable Energy Sources Into Distribution Grid Systems: A Comprehensive Review
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Topics: Artificial intelligence, Distributed power generation, Economics , Emissions, Renewable energy, Renewable energy sources, Solar energy, Stress, Wind, Energy storage
Journal Articles

Artificial Intelligence for Thermal Energy Storage Enhancement: A Comprehensive Review

Tawfiq Chekifi, Moustafa Boukraa, Amine Benmoussa
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Review Articles
J. Energy Resour. Technol. June 2024, 146(6): 060802.
Paper No: JERT-23-1909
https://doi.org/10.1115/1.4065197
Published Online: April 16, 2024
View Article titled, Artificial Intelligence for Thermal Energy Storage Enhancement: A Comprehensive Review
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Topics: Artificial intelligence, Artificial neural networks, Energy storage, Optimization, Thermal energy storage, Design, Algorithms, Temperature, Energy / power systems, Solar energy
Journal Articles

Prediction of Surface Oil Rates for Volatile Oil and Gas Condensate Reservoirs Using Artificial Intelligence Techniques

Redha Al Dhaif, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. March 2022, 144(3): 033001.
Paper No: JERT-21-1424
https://doi.org/10.1115/1.4051298
Published Online: June 14, 2021
View Article titled, Prediction of Surface Oil Rates for Volatile Oil and Gas Condensate Reservoirs Using Artificial Intelligence Techniques
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Topics: Artificial intelligence, Flow (Dynamics), Reservoirs, Wells, Pressure, Testing, Condensed matter
Journal Articles

Drilling Data-Based Approach to Build a Continuous Static Elastic Moduli Profile Utilizing Artificial Intelligence Techniques

Osama Mutrif Siddig, Saad Fahaid Al-Afnan, Salaheldin Mahmoud Elkatatny, Abdulazeez Abdulraheem
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. February 2022, 144(2): 023001.
Paper No: JERT-21-1326
https://doi.org/10.1115/1.4050960
Published Online: May 13, 2021
View Article titled, Drilling Data-Based Approach to Build a Continuous Static Elastic Moduli Profile Utilizing Artificial Intelligence Techniques
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Topics: Algorithms, Artificial intelligence, Drilling, Elastic moduli, Machine learning, Young's modulus, Rocks
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

Drilling Parameters Optimization Using an Innovative Artificial Intelligence Model

Rahman Ashena, Minou Rabiei, Vamegh Rasouli, Amir H. Mohammadi, Siamak Mishani
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. May 2021, 143(5): 052110.
Paper No: JERT-20-2162
https://doi.org/10.1115/1.4050050
Published Online: February 23, 2021
View Article titled, Drilling Parameters Optimization Using an Innovative Artificial Intelligence Model
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Topics: Artificial neural networks, Drilling, Optimization, Artificial intelligence
Journal Articles

Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques

Abdulmalek Ahmed, Salaheldin Elkatatny, Abdulwahab Ali
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. March 2021, 143(3): 033201.
Paper No: JERT-20-1633
https://doi.org/10.1115/1.4049125
Published Online: December 8, 2020
View Article titled, Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques
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Topics: Artificial neural networks, Fracture (Materials), Fracture (Process), Pressure, Testing, Artificial intelligence, Support vector machines, Drilling
Journal Articles

Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

Khaled Abdelgawad, Salaheldin Elkatatny, Tamer Moussa, Mohamed Mahmoud, Shirish Patil
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. March 2019, 141(3): 032908.
Paper No: JERT-18-1379
https://doi.org/10.1115/1.4042233
Published Online: January 9, 2019
View Article titled, Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique
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Topics: Artificial neural networks, Drilling, Flow (Dynamics), Fluids, Rheology, Viscosity, Yield point, Artificial intelligence, Optimization, Weight (Mass)
Journal Articles

Application of Artificial Intelligence Techniques to Estimate the Static Poisson's Ratio Based on Wireline Log Data

Salaheldin Elkatatny
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. July 2018, 140(7): 072905.
Paper No: JERT-17-1497
https://doi.org/10.1115/1.4039613
Published Online: March 29, 2018
View Article titled, Application of Artificial Intelligence Techniques to Estimate the Static Poisson's Ratio Based on Wireline Log Data
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Topics: Artificial intelligence, Artificial neural networks, Poisson ratio, Reservoirs, Drilling, Support vector machines, Density
Journal Articles

Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

Tamer Moussa, Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. July 2018, 140(7): 072903.
Paper No: JERT-17-1464
https://doi.org/10.1115/1.4039270
Published Online: March 15, 2018
View Article titled, Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches
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Topics: Artificial neural networks, Permeability, Reservoirs, Artificial intelligence, Algorithms
Journal Articles

Finding Cost-Effective Applications for Expert Systems

P. J. Hartman
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. March 1993, 115(1): 56–61.
https://doi.org/10.1115/1.2905970
Published Online: March 1, 1993
View Article titled, Finding Cost-Effective Applications for Expert Systems
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Topics: Expert systems, Artificial intelligence, Decision making, Failure, Industrial research, Risk assessment, Testing