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收藏分享 收藏 分享 收藏 Parameter Inversion in Latent Space for Large-Scale Reservoirs via Deep Generative Adversarial Networks基于深度生成对抗网络的大规模水库隐空间参数反演
Shen, Jiahui; Liu, Piyang; Zhang, Kai; Ju, Yafeng; Fu, Wenhao; Zhang, Jinding; Chen, Xu; Zhang, Liming; Yan, Xia; Yao, Jun 分享 收藏 Joint Optimization of Discrete and Continuous Reservoir Control Strategies Using Recent Experience-Based Hybrid Maximum Entropy Deep Reinforcement Learning基于近期经验混合最大熵深度强化学习的离散与连续水库控制策略联合优化Xin, Guojing; Zhang, Kai; Sun, Zifeng; Zhang, Liming; Wang, Zhongzheng; Zhang, Wenjuan; Liu, Piyang; Yan, Xia; Yang, Yongfei; Sun, Hai 分享 收藏 分享 收藏 分享 收藏 Deep Bayesian surrogate models with adaptive online sampling for ensemble-based data assimilationZhang, Jinding; Zhang, Kai; Liu, Piyang; Zhang, Liming; Fu, Wenhao; Chen, Xu; Wang, Jian; Liu, Chen; Yang, Yongfei; Sun, Hai; Yao, Jun 分享 收藏 分享 收藏 Adaptive constraint-guided surrogate enhanced evolutionary algorithm for horizontal well placement optimization in oil reservoir自适应约束引导代理增强进化算法在油藏水平井布局优化中的应用Dai, Qinyang; Zhang, Liming; Wang, Peng; Zhang, Kai; Chen, Guodong; Chen, Zhangxing; Xue, Xiaoming; Wang, Jian; Liu, Chen; Yan, Xia; Liu, Piyang; Wu, Dawei; Qin, Guoyu; Liu, Xingyu 分享 收藏 分享 收藏 An offline data-driven dual-surrogate framework considering prediction error for history matching考虑历史匹配预测误差的离线数据驱动双代理框架Zhang, Jinding; Zhang, Kai; Zhang, Liming; Zhou, Wensheng; Liu, Chen; Liu, Piyang; Fu, Wenhao; Chen, Xu; Bian, Ziwei; Yang, Yongfei; Yao, Jun 分享 收藏 分享 收藏 分享 收藏 Enhancing Oil-Water Flow Prediction in Heterogeneous Porous Media Using Machine Learning使用机器学习增强非均质多孔介质中的油水流量预测Feng, Gaocheng; Zhang, Kai; Wan, Huan; Yao, Weiying; Zuo, Yuande; Lin, Jingqi; Liu, Piyang; Zhang, Liming; Yang, Yongfei; Yao, Jun; Li, Ang; Liu, Chen 分享 收藏 Multi-surrogate framework with an adaptive selection mechanism for production optimization具有自适应选择机制的多代理框架，用于生产优化Wang, Jia-Lin; Zhang, Li -Ming; Zhang, Kai; Wang, Jian; Zhou, Jian-Ping; Peng, Wen-Feng; Yin, Fa-Liang; Zhong, Chao; Yan, Xia; Liu, Pi -Yang; Zhang, Hua-Qing; Yang, Yong-Fei; Sun, Hai 分享 收藏 Towards efficient and accurate CO2 sequestration optimization: Integrating hierarchical spatio-temporal information into deep-learning-based surrogate models实现高效准确的二氧化碳封存优化: 将分层时空信息集成到基于深度学习的替代模型中Lin, Jingqi; Zhang, Kai; Zhang, Liming; Liu, Piyang; Peng, Wenfeng; Zhang, Huaqing; Yan, Xia; Liu, Chen; Yang, Yongfei; Sun, Hai; Yao, Jun 分享 收藏 Adaptive Basis Function Selection Enhanced Multisurrogate-Assisted Evolutionary Algorithm for Production OptimizationWang, Jialin; Zhang, Kai; Zhang, Liming; Wang, Jian; Peng, Wenfeng; Yan, Xia; Wang, Haochen; Zhang, Huaqing; Yang, Yongfei; Sun, Hai; Liu, Piyang; Chen, Haichuan; Fang, Xiaokun 分享 收藏 分享 收藏 分享 收藏 
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