
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:
Logging-data-driven permeability prediction in low-permeable sandstones based on machine learning with pattern visualization: A case study in Wenchang A Sag, Pearl River Mouth Basin
Xiaobo Zhao, Xiaojun Chen, Qiao Huang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 214, pp. 110517-110517
Closed Access | Times Cited: 42
Xiaobo Zhao, Xiaojun Chen, Qiao Huang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 214, pp. 110517-110517
Closed Access | Times Cited: 42
Showing 1-25 of 42 citing articles:
Machine Learning in Oil and Gas Exploration: A Review
Ahmad Tijjani Lawal, Yingjie Yang, Hongmei He, et al.
IEEE Access (2024) Vol. 12, pp. 19035-19058
Open Access | Times Cited: 15
Ahmad Tijjani Lawal, Yingjie Yang, Hongmei He, et al.
IEEE Access (2024) Vol. 12, pp. 19035-19058
Open Access | Times Cited: 15
Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state
Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, et al.
Results in Engineering (2025), pp. 104035-104035
Open Access | Times Cited: 1
Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, et al.
Results in Engineering (2025), pp. 104035-104035
Open Access | Times Cited: 1
Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs
Watheq J. Al‐Mudhafar, Mohammed A. Abbas, David A. Wood
Marine and Petroleum Geology (2022) Vol. 145, pp. 105886-105886
Closed Access | Times Cited: 50
Watheq J. Al‐Mudhafar, Mohammed A. Abbas, David A. Wood
Marine and Petroleum Geology (2022) Vol. 145, pp. 105886-105886
Closed Access | Times Cited: 50
A multiple-input deep residual convolutional neural network for reservoir permeability prediction
Milad Masroor, Mohammad Emami Niri, Mohammad Hassan Sharifinasab
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211420-211420
Closed Access | Times Cited: 33
Milad Masroor, Mohammad Emami Niri, Mohammad Hassan Sharifinasab
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211420-211420
Closed Access | Times Cited: 33
Interpreting XGBoost predictions for shear-wave velocity using SHAP: Insights into gas hydrate morphology and saturation
Junzhao Chen, Jiachun You, Junting Wei, et al.
Fuel (2024) Vol. 364, pp. 131145-131145
Closed Access | Times Cited: 10
Junzhao Chen, Jiachun You, Junting Wei, et al.
Fuel (2024) Vol. 364, pp. 131145-131145
Closed Access | Times Cited: 10
A novel deep learning method based on 2-D CNNs and GRUs for permeability prediction of tight sandstone
Yinhong Tian, Guiwen Wang, Hongbin Li, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212851-212851
Closed Access | Times Cited: 9
Yinhong Tian, Guiwen Wang, Hongbin Li, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212851-212851
Closed Access | Times Cited: 9
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree
Quan Ren, Hongbing Zhang, Dailu Zhang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 220, pp. 111233-111233
Closed Access | Times Cited: 34
Quan Ren, Hongbing Zhang, Dailu Zhang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 220, pp. 111233-111233
Closed Access | Times Cited: 34
Empowering lithology identification with FreLog: Leveraging frequency domain insights in Well logging signal processing
Qingwei Pang, Chenglizhao Chen, Youzhuang Sun, et al.
Measurement (2025), pp. 116710-116710
Closed Access
Qingwei Pang, Chenglizhao Chen, Youzhuang Sun, et al.
Measurement (2025), pp. 116710-116710
Closed Access
Analysis of reservoir rock permeability changes due to solid precipitation during waterflooding using artificial neural network
Azizollah Khormali, Soroush Ahmadi, А. Н. Александров
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 1
Open Access
Azizollah Khormali, Soroush Ahmadi, А. Н. Александров
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 1
Open Access
Concatenating data-driven and reduced-physics models for smart production forecasting
Oscar I.O. Ogali, Oyinkepreye D. Orodu
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Oscar I.O. Ogali, Oyinkepreye D. Orodu
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
A new method for dynamic predicting porosity and permeability of low permeability and tight reservoir under effective overburden pressure based on BP neural network
Dongliang Jiang, Hao Chen, Jianpeng Xing, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211721-211721
Closed Access | Times Cited: 14
Dongliang Jiang, Hao Chen, Jianpeng Xing, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211721-211721
Closed Access | Times Cited: 14
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
Mohammed A. Abbas, Watheq J. Al‐Mudhafar, David A. Wood
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3417-3432
Closed Access | Times Cited: 14
Mohammed A. Abbas, Watheq J. Al‐Mudhafar, David A. Wood
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3417-3432
Closed Access | Times Cited: 14
Fracture identification in shale reservoir using a deep learning method: Chang 7 reservoirs, Triassic Yanchang formation
Shaoqun Dong, Lianbo Zeng, Leting Wang, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212853-212853
Closed Access | Times Cited: 4
Shaoqun Dong, Lianbo Zeng, Leting Wang, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212853-212853
Closed Access | Times Cited: 4
A Novel Hybrid Machine Learning Approach and Basin Modeling for Thermal Maturity Estimation of Source Rocks in Mandawa Basin, East Africa
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 2089-2112
Closed Access | Times Cited: 4
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 2089-2112
Closed Access | Times Cited: 4
A Review on Intelligent Recognition with Logging Data: Tasks, Current Status and Challenges
Xinyi Zhu, Hongbing Zhang, Quan Ren, et al.
Surveys in Geophysics (2024) Vol. 45, Iss. 5, pp. 1493-1526
Closed Access | Times Cited: 4
Xinyi Zhu, Hongbing Zhang, Quan Ren, et al.
Surveys in Geophysics (2024) Vol. 45, Iss. 5, pp. 1493-1526
Closed Access | Times Cited: 4
Permeability prediction using logging data from tight reservoirs based on deep neural networks
Zhijian Fang, Jing Ba, José M. Carcione, et al.
Journal of Applied Geophysics (2024) Vol. 229, pp. 105501-105501
Closed Access | Times Cited: 4
Zhijian Fang, Jing Ba, José M. Carcione, et al.
Journal of Applied Geophysics (2024) Vol. 229, pp. 105501-105501
Closed Access | Times Cited: 4
An improved permeability estimation model using integrated approach of hybrid machine learning technique and shapley additive explanation
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
Few-Shot Learning of Initial Coulombic Efficiency Using Adaptive Combination Kernel Deep Gaussian Process Regression
Hai Guo, Hongcheng Zhang, Xiaofeng Lv, et al.
(2025)
Closed Access
Hai Guo, Hongcheng Zhang, Xiaofeng Lv, et al.
(2025)
Closed Access
Permeability Prediction and Potential Site Assessment for CO2 Storage from Core Data and Well-Log Data in Malay Basin Using Advanced Machine Learning Algorithms
Md. Yeasin Arafath, AKM Eahsanul Haque, Numair Ahmed Siddiqui, et al.
ACS Omega (2025) Vol. 10, Iss. 6, pp. 5430-5448
Open Access
Md. Yeasin Arafath, AKM Eahsanul Haque, Numair Ahmed Siddiqui, et al.
ACS Omega (2025) Vol. 10, Iss. 6, pp. 5430-5448
Open Access
Reservoir evolution and property prediction of the Paleogene Apollonia Formation, Western Desert, Egypt
Yongjie Hu, Hong Zhang, Zixuan Liu, et al.
Journal of African Earth Sciences (2025), pp. 105631-105631
Closed Access
Yongjie Hu, Hong Zhang, Zixuan Liu, et al.
Journal of African Earth Sciences (2025), pp. 105631-105631
Closed Access
A hybrid CNN-LSTM machine learning model for rock mechanical parameters evaluation
Yating Hu, Qiong Zhang
Geoenergy Science and Engineering (2023) Vol. 225, pp. 211720-211720
Closed Access | Times Cited: 9
Yating Hu, Qiong Zhang
Geoenergy Science and Engineering (2023) Vol. 225, pp. 211720-211720
Closed Access | Times Cited: 9
Reconstruction of Missing Well-Logs Using Facies-Informed Discrete Wavelet Transform and Time Series Regression
Quan Ren, Hongbing Zhang, Leonardo Azevedo, et al.
SPE Journal (2023) Vol. 28, Iss. 06, pp. 2946-2963
Closed Access | Times Cited: 9
Quan Ren, Hongbing Zhang, Leonardo Azevedo, et al.
SPE Journal (2023) Vol. 28, Iss. 06, pp. 2946-2963
Closed Access | Times Cited: 9
A comparative study of machine learning methods for gas hydrate identification
Dongmei Tian, Shengxiong Yang, Yuehua Gong, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211564-211564
Closed Access | Times Cited: 8
Dongmei Tian, Shengxiong Yang, Yuehua Gong, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211564-211564
Closed Access | Times Cited: 8
An insight into the microorganism growth prediction by means of machine learning approaches
Amin Bemani, Alireza Kazemi, Mohammad Ahmadi
Journal of Petroleum Science and Engineering (2022) Vol. 220, pp. 111162-111162
Closed Access | Times Cited: 13
Amin Bemani, Alireza Kazemi, Mohammad Ahmadi
Journal of Petroleum Science and Engineering (2022) Vol. 220, pp. 111162-111162
Closed Access | Times Cited: 13