[1] 高志亮, 石玉江, 王娟, 等. 数字油田在中国及其发
展[J]. 石油科技论坛, 2015,34(3):33-38.
Gao Zhiliang, Shi Yujiang, Wang Juan, et al. Development
of digital oilfields in China[J]. Oil Forum, 2015, 34(3):
33-38.
[2] 刘志忠, 杨杰, 王存蓓, 等. 大港数字油田建设新进
展[J]. 石油科技论坛, 2015,34(3):45-50.
Liu Zhizhong, Yang Jie, Wang Cunbei, et al. New progress
in construction of Dagang digital oilfield[J].Oil Forum,
2015, 34(3): 45-50.
[3] 杨世海, 高玉龙, 郑光荣, 等. 长庆油田数字化管理
建设探索与实践[J]. 石油工业技术监督,2011,27(5):1-4.
Yang Shihai, Gao Yulong, Zheng Guangrong, et al.
Exploration and practice of digital management construction
in Changqing oilfield[J]. Technology Supervision in
Petroleum Industry,2011,27(5):1-4.
[4] 李斌, 刘伟, 毕永斌, 等. 智慧油田建设与发展[J]. 石
油科技论坛,2018, 37(3): 47-52.
Li Bin, Liu Wei, Bi Yongbin, et al. Construction and
development of intelligent oilfields[J]. Oil Forum, 2018,
37(3): 47-52.
[5] 陈翔宇, 罗怿, 胡军, 等. 新一代智能变电站变电设
备状态评估大数据分析应用展望[J]. 电力信息与通信
技术, 2016,14(8):46-51.
Chen Xiangyu, Luo Yi, Hu Jun, et al. The prospect for
big data mining application of substation equipment
condition assessment in new generation smart substation[J].
Electric Power Information and Communication Technology,
2016,14(8):46-51.
[6] 维克托·迈尔- 舍恩伯格, 肯尼思·库克耶. 大数据
时代: 生活、工作与思维的大变革[M]. 盛杨燕, 周涛,
译. 杭州: 浙江人民出版社,2012.
Viktor Mayer-Sch?nberger, Kenneth Cukier. Big data:
A revolution that will transform how we live, work and
think[M]. Translate by Sheng Yangyan, Zhou Tao.
Hangzhou: Zhejiang People’s Publishing House,2012.
[7] 段泽英, 蔡贤明, 腾卫卫, 等. 大数据分析技术在油田
生产中的研究与应用[J]. 中国管理信息化,2015(18):
64-65.
Duan Zeying, Cai Xianming, Teng Weiwei, et al. Research
and application of big data analysis technology in oilfield
production[J].China Management Informationization,
2015(18):64-65.
[8] 李鑫, 耿玉广, 杨小平, 等. 以吨液百米举升耗电量
为目标的大数据分析应用[J]. 石油钻采工艺, 2015,37(4):
76-79.
Li Xin, Geng Yuguang, Yang Xiaoping, et al. Big data
analysis and application targeted at power consumption
by lifting one ton of liquid to 100 m[J].Oil Drilling &
Production Technology,2015,37(4):76-79.
[9] 梁士军, 孙德刚, 吴照云, 等. 油田生产系统节能监
测规范(SY/T 6275—2007)[S]. 北京: 石油工业出
版社,2008.
Liang Shijun, Sun Degang, Wu Zhaoyun, et al. Monitoring
and testing code for energy conservation of oilfield
production system(SY/T 6275-2007)[S]. Beijing:
Petroleum Industry Press,2008.
[10] 薛良玉, 付国庆, 蔡俊, 等. 油井生产工况诊断及智
能预警[C]. 中国石油学会编.2018 中国石油石化企
业信息技术交流论文集. 北京: 中国石化出版社,
2018:154-159.
Xue Liangyu, Fu Guoqing, Cai Jun, et al. Diagnosis and
intelligent early warning of oil well production condition[C].
Edited by Chinese Petroleum Society. 2018 Chinese
Petroleum and Petrochemical Enterprises Information
Technology Exchange Proceedings. Beijing: China
Petrochemical Press, 2018:154-159.
[11] 闵贵芝, 金学锋, 张战敏. 大数据分析在油气生产
重点领域的研究应用[C]. 中国石油学会编. 2018 中国石油石化企业信息技术交流论文集, 北京: 中国
石化出版社, 2018:62-69.
Min Guizhi, Jin Xuefeng, Zhang Zhanmin. Research
and application of big data analysis in key areas of oil and
gas production[C]. Edited by Chinese Petroleum Society.
2018 Chinese Petroleum and Petrochemical Enterprises
Information Technology Exchange Proceedings. Beijing:
China Petrochemical Press, 2018:62-69.
[12] 刘炜, 刘宏昭. 三种泵功图特征提取方法及比较[J].
煤炭技术, 2010,29(9):202-204.
Liu Wei, Liu Hongzhao. Three methods of feature
extraction of pumping cards and their comparison[J].
Coal Technology, 2010,29(9):202-204.
[13] 刘炜. 应用改进最小距离分类法识别泵功图工况[J].
电脑知识与技术, 2010,6(6):1449-1451.
Liu Wei. Applying the improved minimum distance
classification to identification the operation conditions
of pump diagrams[J].Computer Knowledge and Technology,
2010,6(6):1449-1451.
[14] 檀朝东, 李鑫, 耿玉广, 等. 采油工程大数据挖掘
系统在华北油田的应用[J]. 中国石油和化工, 2015,
22(5):48-52.
Tan Chaodong,Li Xin,Geng Yuguang,et al.Application
of big data mining system in Huabei oilfield[J].China
Petroleum and Chemical Industry, 2015,22(5):48-52.
[15] 付金华, 石玉江, 王娟, 等. 长庆油田勘探开发服务
型共享数据中心构建研究[J]. 中国石油勘探,2017,
22(6):1-8.
Fu Jinhua, Shi Yujiang, Wang Juan, et al. Construction
of service-oriented shared data center for exploration and
development of Changqing oilfield[J]. China Petroleum
Exploration, 2017, 22(6): 1-8. |