
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Data-driven based machine learning models for predicting the deliverability of underground natural gas storage in salt caverns
Aliyuda Ali
Energy (2021) Vol. 229, pp. 120648-120648
Closed Access | Times Cited: 44
Aliyuda Ali
Energy (2021) Vol. 229, pp. 120648-120648
Closed Access | Times Cited: 44
Showing 26-50 of 44 citing articles:
Wellbore salt-deposition risk prediction of underground gas storage combining numerical modeling and machine learning methodology
Zhiyue He, Yong Tang, Youwei He, et al.
Energy (2024) Vol. 305, pp. 132247-132247
Closed Access | Times Cited: 1
Zhiyue He, Yong Tang, Youwei He, et al.
Energy (2024) Vol. 305, pp. 132247-132247
Closed Access | Times Cited: 1
Assessing Subsurface Gas Storage Security for Climate Change Mitigation and Energy Transition
Ziqing Pan, Zhijun Jin, Gensheng Li, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 14
Open Access | Times Cited: 1
Ziqing Pan, Zhijun Jin, Gensheng Li, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 14
Open Access | Times Cited: 1
Transient Pressure Prediction in Large-Scale Underground Natural Gas Storage: A Deep Learning Approach and Case Study
Hongyang Chu, Liang Zhang, Huimin Lu, et al.
Energy (2024) Vol. 311, pp. 133411-133411
Closed Access | Times Cited: 1
Hongyang Chu, Liang Zhang, Huimin Lu, et al.
Energy (2024) Vol. 311, pp. 133411-133411
Closed Access | Times Cited: 1
Optimization of a Typical Gas Injection Pressurization Process in Underground Gas Storage
Shuangqing Chen, Ze Yu, Yuchun Li, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 8902-8902
Open Access | Times Cited: 1
Shuangqing Chen, Ze Yu, Yuchun Li, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 8902-8902
Open Access | Times Cited: 1
Performance analysis and optimization of packed-bed TES systems based on ensemble learning method
Ze Li, Si-Tao Lv
Energy Reports (2022) Vol. 8, pp. 8165-8176
Open Access | Times Cited: 6
Ze Li, Si-Tao Lv
Energy Reports (2022) Vol. 8, pp. 8165-8176
Open Access | Times Cited: 6
Prediction of Optimal Production Time during Underground CH4 Storage with Cushion CO2 Using Reservoir Simulations and Artificial Neural Networks
Johan Olav Helland, Helmer André Friis, Mohsen Assadi, et al.
Energy & Fuels (2023) Vol. 37, Iss. 23, pp. 19022-19038
Open Access | Times Cited: 3
Johan Olav Helland, Helmer André Friis, Mohsen Assadi, et al.
Energy & Fuels (2023) Vol. 37, Iss. 23, pp. 19022-19038
Open Access | Times Cited: 3
A new comprehensive dimensionless inflow performance relationship for gas wells
Azim Kalantariasl, Isa Farhadi, Soosan Farzani, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 12, Iss. 8, pp. 2257-2269
Open Access | Times Cited: 5
Azim Kalantariasl, Isa Farhadi, Soosan Farzani, et al.
Journal of Petroleum Exploration and Production Technology (2022) Vol. 12, Iss. 8, pp. 2257-2269
Open Access | Times Cited: 5
Exploiting Sentinel-1 data and machine learning–based random forest for collectively mapping rice fields in Taiwan
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
Applied Geomatics (2022) Vol. 14, Iss. 2, pp. 405-419
Closed Access | Times Cited: 5
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
Applied Geomatics (2022) Vol. 14, Iss. 2, pp. 405-419
Closed Access | Times Cited: 5
Machine learning for underground gas storage with cushion CO2 using data from reservoir simulation
Johan Olav Helland, Helmer André Friis, Mohsen Assadi, et al.
IOP Conference Series Materials Science and Engineering (2023) Vol. 1294, Iss. 1, pp. 012058-012058
Open Access | Times Cited: 2
Johan Olav Helland, Helmer André Friis, Mohsen Assadi, et al.
IOP Conference Series Materials Science and Engineering (2023) Vol. 1294, Iss. 1, pp. 012058-012058
Open Access | Times Cited: 2
A Data-Driven Dual-Optimization Hybrid Machine Learning Model for Predicting Carbon Dioxide Trapping Efficiency in Saline Aquifers: Application in Carbon Capture and Storage
Xiaoyuan Xing, Xiaoqiang Bian, Jianye Zhang, et al.
Geoenergy Science and Engineering (2024), pp. 213363-213363
Closed Access
Xiaoyuan Xing, Xiaoqiang Bian, Jianye Zhang, et al.
Geoenergy Science and Engineering (2024), pp. 213363-213363
Closed Access
Committee Machine Learning: A Breakthrough in the Precise Prediction of CO2 Storage Mass and Oil Production Volumes in Unconventional Reservoirs
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Geoenergy Science and Engineering (2024), pp. 213533-213533
Closed Access
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Geoenergy Science and Engineering (2024), pp. 213533-213533
Closed Access
Study on CO2 Corrosion Behavior of Underground Gas Storage Pipe Columns and Establishment of Corrosion Inhibition System
Yingjie Ma, Jianwei Gu
Processes (2024) Vol. 12, Iss. 12, pp. 2868-2868
Open Access
Yingjie Ma, Jianwei Gu
Processes (2024) Vol. 12, Iss. 12, pp. 2868-2868
Open Access
Multidecadal evaluation of changes in coffee-growing areas using Landsat data in Central Highlands, Vietnam
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Deep Neural Network Model for Improving Price Prediction of Natural Gas
Aliyuda Ali, Moemen Ahmed, Kachalla Aliyuda, et al.
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2021), pp. 113-117
Open Access | Times Cited: 3
Aliyuda Ali, Moemen Ahmed, Kachalla Aliyuda, et al.
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2021), pp. 113-117
Open Access | Times Cited: 3
Prediction of the Composition of the Wide Light Hydrocarbon Fraction by Methods of Machine Learning in Pipeline Transportation
S. N. Tereshchenko, A. L. Osipov, E. D. Moiseeva
Optoelectronics Instrumentation and Data Processing (2022) Vol. 58, Iss. 1, pp. 85-90
Closed Access | Times Cited: 1
S. N. Tereshchenko, A. L. Osipov, E. D. Moiseeva
Optoelectronics Instrumentation and Data Processing (2022) Vol. 58, Iss. 1, pp. 85-90
Closed Access | Times Cited: 1
地下储氢研究进展及展望
Lu Wang, Zhijun Jin, Zeiyu Lü, et al.
Earth Science-Journal of China University of Geosciences (2023)
Open Access
Lu Wang, Zhijun Jin, Zeiyu Lü, et al.
Earth Science-Journal of China University of Geosciences (2023)
Open Access
Data-Driven Based Modelling of Pressure Dynamics in Multiphase Reservoir Model
Aliyuda Ali, Uchenna Diala, Lingzhong Guo
(2022), pp. 189-194
Open Access
Aliyuda Ali, Uchenna Diala, Lingzhong Guo
(2022), pp. 189-194
Open Access
Predictive Machine Learning Model for Bottom Hole Flowing and Average Formation Pressure in Underground Gas Storage
Gulei Sui, Hongyong Du, Xiaolin Wang, et al.
Journal of Energy Resources Technology (2022) Vol. 145, Iss. 2
Closed Access
Gulei Sui, Hongyong Du, Xiaolin Wang, et al.
Journal of Energy Resources Technology (2022) Vol. 145, Iss. 2
Closed Access
Data analysis of varied datasets using descriptive and predictive analytics in terms of time and accuracy
Srikanth Kapse, S. Zahoor Ul Huq, Abhishek Kumar
AIP conference proceedings (2022) Vol. 2676, pp. 030087-030087
Open Access
Srikanth Kapse, S. Zahoor Ul Huq, Abhishek Kumar
AIP conference proceedings (2022) Vol. 2676, pp. 030087-030087
Open Access