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1,025 results on '"Luo, Shuai"'

5. Prediction of formation fracture pressure based on reinforcement learning and XGBoost

Author

Wan Bingqian, Xu Shengchi, Luo Shuai, Wei Leipeng, Zhang Ci, Zhou Diao, Zhang Hao, and Zhang Yan

Subjects
fracture pressure prediction, geophysical well logging, fracturing design, xgboost, q-learning, Geology, QE1-996.5
Abstract

Clearly determining the magnitude of fracture pressure is a crucial indicator for fracturing design. Traditional methods for predicting fracture pressure suffer from challenges such as difficulties in obtaining required data, low prediction accuracy, and local limitations in application. In light of these issues, the article proposes a fracture pressure prediction model based on reinforcement learning and XGBoost utilizing geophysical well logging data. Based on the relevance analysis, optimal input parameters, including DEPTH, DEN, AC, GR, CRL, and RT, are selected from geophysical well logging data. We have developed a framework for a fracture pressure prediction model based on XGBoost, wherein hyperparameters are fine-tuned using an improved Q-learning algorithm. The optimized XGBoost model for fracture pressure prediction attains outstanding performance metrics, including an R 2 value of 0.992, a root mean square error of 0.006%, and a mean absolute error of 0.539%. In direct comparison with grid search, Bayesian optimization, and ant colony optimization, the improved Q-learning algorithm emerges as the most effective optimization approach. The predictions generated by the proposed method exhibit remarkable consistency with fracture pressure data measured on-site. This approach successfully addresses the shortcomings encountered with traditional fracture pressure prediction methods, such as inadequate accuracy, demanding data prerequisites, and constrained applicability.

Published
2024
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12. Design and Development of Temperature Wireless Test System Based on NFC

Author

Zhang, Zhigang, Luo, Shuai, Yu, Xiaoxia, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Cai, Chunwei, editor, Qu, Xiaohui, editor, Mai, Ruikun, editor, Zhang, Pengcheng, editor, Chai, Wenping, editor, and Wu, Shuai, editor

Published
2024
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21. Effect of Permanent Magnet Made by Blocking Magnetization on Magnetic Density and Eddy Current Loss of Permanent Magnet Transmission

Author

Wei Lijun, Wang Jinzhong, Lu Yanghui, Wu Xianfeng, and Luo Shuai

Subjects
Permanent magnet, Blocking magnetization, Magnetic density distributions, Eddy current loss, Magnetic field modulation, Mechanical engineering and machinery, TJ1-1570
Abstract

The remanent magnetism hollowing of large permanent magnets has been one of the main obstacles to improve the performance of the permanent magnet transmission with high power and high speed ratio. Compared with the traditional preparation process, blocking magnetization technology can significantly improve the performance of large permanent magnets. A 3D model is constructed to complete the magneto-thermal simulation analysis adopting the difference permanent magnets. The results show that the blocking magnetization process can effectively suppress the hollowing of the magnetic field, significantly improve the remanence of the large-size permanent magnet, and enhance the magnetic density in the permanent magnet gear, resulting in the maximum output torque increase of the permanent magnet gear. The difference between the circumferential arc length, axial length and penetration depth of magnetic field can be reduced obviously by the insulation between blocking magnetizing permanent magnets, and the eddy current loss of the permanent magnet.

Published
2024
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26. Ce-site dilution in the ferromagnetic Kondo lattice CeRh$_6$Ge$_4$

Author

Xu, Jia-Cheng, Su, Hang, Kumar, Rohit, Luo, Shuai-Shuai, Nie, Zhi-Yong, Wang, An, Du, Feng, Li, Rui, Smidman, Michael, and Yuan, Hui-Qiu

Subjects
Condensed Matter - Strongly Correlated Electrons
Abstract

The heavy fermion ferromagnet CeRh$_6$Ge$_4$ is the first example of a clean stoichiometric system where the ferromagnetic transition can be continuously suppressed by hydrostatic pressure to a quantum critical point. In order to reveal the outcome when the magnetic lattice of CeRh$_6$Ge$_4$ is diluted with non-magnetic atoms, this study reports comprehensive measurements of the physical properties of both single crystal and polycrystalline samples of La$_x$Ce$_{1-x}$Rh$_6$Ge$_4$. With increasing $x$, the Curie temperature decreases, and no transition is observed for $x$ $>$ 0.25, while the system evolves from exhibiting coherent Kondo lattice behaviors at low $x$, to the Kondo impurity scenario at large $x$. Moreover, non-Fermi liquid behavior (NFL) is observed over a wide doping range, which agrees well with the disordered Kondo model for 0.52 $\leq$ $x$ $\leq$ 0.66, while strange metal behavior is revealed in the vicinity of $x_c$ = 0.26., Comment: 6 pages, 5 figures

Published
2021
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32. Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction

Author

Chen, Tingxuan, Long, Jun, Yang, Liu, Li, Guohui, Luo, Shuai, Xiao, Meihong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Xiaochun, editor, Suhartanto, Heru, editor, Wang, Guoren, editor, Wang, Bin, editor, Jiang, Jing, editor, Li, Bing, editor, Zhu, Huaijie, editor, and Cui, Ningning, editor

Published
2023
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