Production Forecasting Based on Attribute-Augmented Spatiotemporal Graph Convolutional Network for a Typical Carbonate Reservoir in the Middle East
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- Liu, Wei & Zhang, Zhixin & Chen, Jie & Jiang, Deyi & Wu, Fei & Fan, Jinyang & Li, Yinping, 2020. "Feasibility evaluation of large-scale underground hydrogen storage in bedded salt rocks of China: A case study in Jiangsu province," Energy, Elsevier, vol. 198(C).
- Qiang Wang & Jifang Wan & Langfeng Mu & Ruichen Shen & Maria Jose Jurado & Yufeng Ye, 2020. "An Analytical Solution for Transient Productivity Prediction of Multi-Fractured Horizontal Wells in Tight Gas Reservoirs Considering Nonlinear Porous Flow Mechanisms," Energies, MDPI, vol. 13(5), pages 1-20, March.
- Fuli Feng & Xiangnan He & Xiang Wang & Cheng Luo & Yiqun Liu & Tat-Seng Chua, 2018. "Temporal Relational Ranking for Stock Prediction," Papers 1809.09441, arXiv.org, revised Jan 2019.
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Keywords
performance prediction; deep learning; graph convolutional network; spatiotemporal characteristics; carbonate reservoir;All these keywords.
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