工程科学学报 Chinese Journal of Engineering 油气资源开发的大数据智能平台及应用分析 宋洪庆都书一周园春王宇赫王九龙 Big data intelligent platform and application analysis for oil and gas resource development SONG Hong-qing.DU Shu-yi,ZHOU Yuan-chun,WANG Yu-he,WANG Jiu-long 引用本文： 宋洪庆，都书一，周园春，王宇赫，王九龙.油气资源开发的大数据智能平台及应用分析.工程科学学报，2021,43(2：179- 192.doi10.13374/j.issn2095-9389.2020.07.21.001 SONG Hong-qing,DU Shu-yi,ZHOU Yuan-chun,WANG Yu-he,WANG Jiu-long.Big data intelligent platform and application analysis for oil and gas resource development[J].Chinese Journal of Engineering,2021,43(2):179-192.doi:10.13374/j.issn2095- 9389.2020.07.21.001 在线阅读View online:https::/oi.org10.13374.issn2095-9389.2020.07.21.001 您可能感兴趣的其他文章 Articles you may be interested in 人工智能在军事对抗中的应用进展 Application progress of artificial intelligence in military confrontation 工程科学学报.2020,42(9外：1106htps:/doi.org10.13374.issn2095-9389.2019.11.19.001 多模态学习方法综述 A survey of multimodal machine learning 工程科学学报.2020,42(5：557 https:/doi.org10.13374.issn2095-9389.2019.03.21.003 基于机器学习的北京市PM2.5浓度预测模型及模拟分析 Machine-learning-based model and simulation analysis of PM2.5 concentration prediction in Beijing 工程科学学报.2019,41(3：401 https:1doi.org/10.13374issn2095-9389.2019.03.014 基于深度学习的人体低氧状态识别 Recognition of human hypoxic state based on deep learning 工程科学学报.2019,41(6)：817 https::/1doi.org/10.13374.issn2095-9389.2019.06.014 基于深度学习的高效火车号识别 Efficient wagon number recognition based on deep learning 工程科学学报.2020,42(11：1525htps:oi.org10.13374.issn2095-9389.2019.12.05.001 文本生成领域的深度强化学习研究进展 Research progress of deep reinforcement learning applied to text generation 工程科学学报.2020,42(4：399 https:/1doi.org10.13374j.issn2095-9389.2019.06.16.030油气资源开发的大数据智能平台及应用分析 宋洪庆 都书一 周园春 王宇赫 王九龙 Big data intelligent platform and application analysis for oil and gas resource development SONG Hong-qing, DU Shu-yi, ZHOU Yuan-chun, WANG Yu-he, WANG Jiu-long 引用本文: 宋洪庆, 都书一, 周园春, 王宇赫, 王九龙. 油气资源开发的大数据智能平台及应用分析[J]. 工程科学学报, 2021, 43(2): 179- 192. doi: 10.13374/j.issn2095-9389.2020.07.21.001 SONG Hong-qing, DU Shu-yi, ZHOU Yuan-chun, WANG Yu-he, WANG Jiu-long. Big data intelligent platform and application analysis for oil and gas resource development[J]. Chinese Journal of Engineering, 2021, 43(2): 179-192. doi: 10.13374/j.issn2095- 9389.2020.07.21.001 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2020.07.21.001 您可能感兴趣的其他文章 Articles you may be interested in 人工智能在军事对抗中的应用进展 Application progress of artificial intelligence in military confrontation 工程科学学报. 2020, 42(9): 1106 https://doi.org/10.13374/j.issn2095-9389.2019.11.19.001 多模态学习方法综述 A survey of multimodal machine learning 工程科学学报. 2020, 42(5): 557 https://doi.org/10.13374/j.issn2095-9389.2019.03.21.003 基于机器学习的北京市PM2.5浓度预测模型及模拟分析 Machine-learning-based model and simulation analysis of PM2.5 concentration prediction in Beijing 工程科学学报. 2019, 41(3): 401 https://doi.org/10.13374/j.issn2095-9389.2019.03.014 基于深度学习的人体低氧状态识别 Recognition of human hypoxic state based on deep learning 工程科学学报. 2019, 41(6): 817 https://doi.org/10.13374/j.issn2095-9389.2019.06.014 基于深度学习的高效火车号识别 Efficient wagon number recognition based on deep learning 工程科学学报. 2020, 42(11): 1525 https://doi.org/10.13374/j.issn2095-9389.2019.12.05.001 文本生成领域的深度强化学习研究进展 Research progress of deep reinforcement learning applied to text generation 工程科学学报. 2020, 42(4): 399 https://doi.org/10.13374/j.issn2095-9389.2019.06.16.030