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:
Pore pressure prediction assisted by machine learning models combined with interpretations: A case study of an HTHP gas field, Yinggehai Basin
Xiaobo Zhao, Xiaojun Chen, Zhangjian Lan, et al.
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212114-212114
Closed Access | Times Cited: 8
Xiaobo Zhao, Xiaojun Chen, Zhangjian Lan, et al.
Geoenergy Science and Engineering (2023) Vol. 229, pp. 212114-212114
Closed Access | Times Cited: 8
Showing 8 citing articles:
Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin’s Presalt Carbonate Reservoir
R. García, SeyedMehdi Mohammadizadeh, Michelle Chaves Kuroda, et al.
Sustainability (2024) Vol. 16, Iss. 13, pp. 5730-5730
Open Access | Times Cited: 10
R. García, SeyedMehdi Mohammadizadeh, Michelle Chaves Kuroda, et al.
Sustainability (2024) Vol. 16, Iss. 13, pp. 5730-5730
Open Access | Times Cited: 10
Bottomhole Pressure Prediction of Carbonate Reservoirs Using XGBoost
Hao Sun, Luo Qiang, Zhaohui Xia, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 125-125
Open Access | Times Cited: 7
Hao Sun, Luo Qiang, Zhaohui Xia, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 125-125
Open Access | Times Cited: 7
Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach
Feng Jin, Qinghui Wang, Min Li, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 703-703
Open Access | Times Cited: 6
Feng Jin, Qinghui Wang, Min Li, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 703-703
Open Access | Times Cited: 6
Study on multi-factor casing damage prediction method based on machine learning
Fuli Li, Wei Yan, Xianyong Kong, et al.
Energy (2024) Vol. 296, pp. 131044-131044
Closed Access | Times Cited: 3
Fuli Li, Wei Yan, Xianyong Kong, et al.
Energy (2024) Vol. 296, pp. 131044-131044
Closed Access | Times Cited: 3
Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin’s Pre-Salt Carbonate Reservoir
R. García, SeyedMehdi Mohammadizadeh, Michelle Chaves Kuroda, et al.
(2024)
Open Access | Times Cited: 2
R. García, SeyedMehdi Mohammadizadeh, Michelle Chaves Kuroda, et al.
(2024)
Open Access | Times Cited: 2
Intelligent Pressure Monitoring Method of BP Neural Network Optimized by Genetic Algorithm: A Case Study of X Well Area in Yinggehai Basin
Ting Liu, Xiaobin Ye, Leli Cheng, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2439-2439
Open Access | Times Cited: 2
Ting Liu, Xiaobin Ye, Leli Cheng, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2439-2439
Open Access | Times Cited: 2
Enhancing pore pressure prediction accuracy: A knowledge-driven approach with temporal fusion transformer
Shaohua Cao, Chengqi Wang, Qiang Niu, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212839-212839
Closed Access
Shaohua Cao, Chengqi Wang, Qiang Niu, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212839-212839
Closed Access
Formation pressure prediction method based on machine learning
Zhen Zhang, Chuanliang Yan, Yuanfang Cheng, et al.
Journal of Physics Conference Series (2024) Vol. 2834, Iss. 1, pp. 012083-012083
Open Access
Zhen Zhang, Chuanliang Yan, Yuanfang Cheng, et al.
Journal of Physics Conference Series (2024) Vol. 2834, Iss. 1, pp. 012083-012083
Open Access
