Petroleum Science and Technology Forum ›› 2018, Vol. 37 ›› Issue (3): 41-46.DOI: 10.3969/j.issn.1002-302x.2018.03.007
Previous Articles Next Articles
Zheng Xingyang1,Zhang Tong1, Liu Haowei2
Online:
2018-07-05
Published:
2018-07-17
Supported by:
郑兴扬1 张 彤1 刘昊伟2
基金资助:
CLC Number:
Zheng Xingyang, Zhang Tong, Liu Haowei. Present Conditions and Development Trend for Big Data Analysis Used in International Petroleum Trade Area[J]. Petroleum Science and Technology Forum, 2018, 37(3): 41-46.
郑兴扬 张 彤 刘昊伟. 大数据分析在国际石油贸易领域的应用现状与发展趋势[J]. 石油科技论坛, 2018, 37(3): 41-46.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.sykjlt.com/EN/10.3969/j.issn.1002-302x.2018.03.007
[1] 祝叶华. 2016 年热点科技事件回眸[J]. 科技导报, 2017, 35(1): 136-148. Zhu Yehua. Ten hot events of science and technology in 2016[J]. Science & Technology Review,2017,35(1): 136-148.br/> [2] 李宇静, 陈庆俊, 赵云峰. 我国石化工业优化发展趋 势[J]. 石油科技论坛, 2017, 36(2):1-7.Li Yujing, Chen Qingjun, Zhao Yunfeng. Optimization and development trend of China’s petrochemical insustry[J]. Oil Forum, 2017,36(2):1-7.br/> [3] 覃伟中. 积极推进智能制造是传统石化企业提质增效 转型升级的有效途径[J]. 当代石油石化, 2016, 24(6): 1-4. Qin Weizhong. Intelligent process manufacturing-an efficient way to upgrade traditional refineries[J]. Petroleum & Petrochemical Today, 2016, 24(6): 1-4.br/> [4] 李伟, 张艺.ETRM 系统简介[J]. 电子技术与软件工程, 2013,22(11):25-25. Li Wei, Zhang Yi. Brief introduction of ETRM system[J]. Electronic Technology & Software Engineering,2013,22(11):25-25.br/> [5] 郑兴扬, 张彤. 国际石油贸易实用攻略[M]. 北京: 石 油工业出版社,2014. Zheng Xingyang, Zhang Tong. Applicable strategy for international petroleum trade[M].Beijing: Petroleum Industry Press,2014.br/> [6] 吴晓求. 证券投资学[M]. 北京: 中国人民大学出版社, 2004. Wu Xiaoqiu. Securities investment principles[M].Beijing: China Renmin University Press,2004.br/> [7] 李海阔, 曾小杰. 基于期货市场的资金流向模型及量 化交易策略[J]. 科学咨询,2008, 9(1):57-58. Li Haikuo, Zeng Xiaojie. Fund flow model and quantified trade policies[J]. Policy & Scientific Consult,2008,9(1):57-58.br/> [8] 王宣承. 基于LASSO 和神经网络的量化交易智能系 统构建——以沪深300股指期货为例[J]. 投资研究,2014, 33(9):23-39. Wang Xuancheng.Construct intelligent quantitative trading systems based on Lasso and Anns-A case study of CSI300 futures [J]. Review of Investment Studies, 2014, 33(9):23-39.br/> [9] 程广明. 大数据治理模型与治理成熟度评估研究[J]. 科技与创新,2016,3(9):6-7. Cheng Guangming. Research on big data handling model and handling maturity assessment[J].Science and Technology & Innovation,2016,3(9):6-7.br/> [10] 吴韶鸿. 大数据开源技术发展研究[J]. 现代电信科技, 2014, 44(8):17-22. Wu Shaohong. Study of big data sources technological development[J].Modern Science & Technology of Telecommunicatio,2014,44( 8):17-22.br/> [11] 李晓慧, 孙蔓莉. 业绩归因分析在审计风险识别中 的运用研究[J]. 会计研究,2012,33(9):82-88. Li Xiao hui, Su Ma nli Applica tion o f perf ormance attribution analysis in recognition of auditing risks [J]. Accounting Research,2012,33(9):82-88.br/> [12] 霍四通.NLP 中语义语法的构造及其应用[J]. 语言 研究集刊, 2005:173-193,402. Huo Sitong. Semantic and grammatical structure of NLP and its application[J]. Collection of Linguistic Study Papers, 2005:173-193,402.br/> [13] 沈沛龙, 任若恩. 现代信用风险管理模型和方法的 比较研究[J]. 经济科学,2002,24(3):32-41. Shen Peilong, Ren Ruoen. Comparative research on modern credit risks management model and methods[J]. Economic Science,2002,24(3):32-41.br/> [14] 刘堃, 巴曙松, 任亮. 中国信用风险预警模型及实 证研究——基于企业关联关系和信贷行为的视角[J]. 财经研究,2009, 35(7): 14-28. Liu Kun, Ba Shusong, Ren Liang. Research on China credit risks early-warning model -- From angle of enterprises’ correlations and credit behavior[J]. Journal of Finance and Economics, 2009, 35(7): 14-28.br/> [15] 赵蓉英, 许丽敏. 文献计量学发展演进与研究前沿 的知识图谱探析[J]. 中国图书馆学报,2010,54(5):60-68. Zhao Rongying, Xu Limin. Development and evolution of literature measurement and knowledge diagram analysis of frontier study[J].Journal of Library Science in China, 2010,54(5):60-68.br/> [16] 马海兵, 刘永丹, 王兰成, 等. 三种文档语义倾向 性识别方法的分析与比较[J]. 现代图书情报技术, 2007,27(4):43-47. Ma Haibing, Liu Yongdan, Wang Lancheng, et al. An analysis and comparison of three methods for document semantic orientation recognition[J]. New Technology of Library and Information Service,2007,27(4):43-47. |
[1] | Zhao Xianzheng, Wang Hongyu, Liu Jichao, Lai Jishun. Research and Contemplation on How to Build Old Oilfields into Digital Intelligent Ones-- Take Dagang Oilfield for Example [J]. Petroleum Science and Technology Forum, 2021, 40(5): 1-8. |
[2] | Hu Qiyue. Standardization Promotes Self-reliance of China’s Well Logging Technology [J]. Petroleum Science and Technology Forum, 2021, 40(5): 9-16. |
[3] | Liu Yaxu, She Weijun, Qin Changyi, Du Wei, Xu Xiaofeng. Contemplation and Suggestions on Further Perfection of China’s Petroleum Industrial Standards and Authentication System Construction [J]. Petroleum Science and Technology Forum, 2021, 40(5): 17-21. |
[4] | Zhang Kang, Zhang Liqin. The perspective of China’s oil and gas in the Energy Transition [J]. Petroleum Science and Technology Forum, 2021, 40(5): 22-33. |
[5] | Si Guang, Liu Wentao, Ding Danhong, Zhang Yunyi, Jiang Xuemei, Yuan Chunhua, Ji Wenzhen. Research and Practice from Using Target Cost Control Method for Detailed Management of Well Engineering Projects [J]. Petroleum Science and Technology Forum, 2021, 40(5): 34-42. |
[6] | Fan Xianghong, Niu Liquan, Jiang Huaiyou, Fu Xiaoqing, Li Xi, Dong Hua. Research on Application and Evaluation of Company’s Benchmark Scientific Instruments and Equipment [J]. Petroleum Science and Technology Forum, 2021, 40(5): 43-47. |
[7] | Xiao Feng, Fu Yi, Yuan Lei, Zhang Yundong. Construction and Management of Overseas Technological Institutions by International Oilfield Service Companies [J]. Petroleum Science and Technology Forum, 2021, 40(5): 48-54. |
[8] | Gou Liang, Zhang Shaohua, Yu Gang, Wang Ximing, An Shujie, Wu Junjun, Chen Yuanzhong. Optical Sensing Promotes Intelligence, Innovation and Development of Reservoir Geophysical Technology [J]. Petroleum Science and Technology Forum, 2021, 40(5): 55-64. |
[9] | Hu Gui, Cui Mingyue, Tao Ye, Huang Xueqin, Zhang Guohui, Shi Libao. Progress in Oil and Gas Wellbore Engineering Data Platform Technology and Suggestions on In-depth Application of Data [J]. Petroleum Science and Technology Forum, 2021, 40(5): 65-72. |
[10] | Jiang Huanhuan, Zhang Jie, Du Jieyu, Han Bing, Yuan Guohui, Xie Bo, Wang Tao, Yu Yue, Lu Kai. Innovation Practice from Efficient Exploration and Development of Blocks with Mining Rights Transferred within Petroleum Enterprises [J]. Petroleum Science and Technology Forum, 2021, 40(5): 73-78. |
[11] | Yan Na, Li Qing. Development Process and Enlightenment of Baker Hughes Remote Services [J]. Petroleum Science and Technology Forum, 2021, 40(5): 79-84. |
[12] | Li Zhongxing, Li Songquan, Liao Guangzhi, Tian Changbing, Wang Zhengmao, Shi Cheng’en, Lei Zhengdong, Liu Weidong, Yang Haien. Practice from Significant Experiment on Effective Development of Changqing Ultra-low Permeability Reservoirs [J]. Petroleum Science and Technology Forum, 2021, 40(4): 1-11. |
[13] | Gou Liang, Zhang Shaohua, Li Xiangyang. Improving the Effectiveness of Shear-wave Seismic Exploration through Geophysical Technology Innovation [J]. Petroleum Science and Technology Forum, 2021, 40(4): 12-19. |
[14] | Yan Lunjiang, Mao Yaming, Li Jianying, Wang Shunyi. Innovative Thinking and Suggestions on HSE Supervision Model under Digital Transformation [J]. Petroleum Science and Technology Forum, 2021, 40(4): 20-24. |
[15] | Shi Buqing, Gao Feng, Yu Ling, Hu Xin, Zheng Xiaowu. Characteristics and Enlightenment of Technological Support Systems of International Oil Majors [J]. Petroleum Science and Technology Forum, 2021, 40(4): 25-31. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||