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A new production operation simulation system and its application to oil companies based on the big data theory
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Science & Technology Review | 2016, 34(2) : 178 - 183
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Science & Technology Review | 2016, 34(2): 178-183
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A new production operation simulation system and its application to oil companies based on the big data theory
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QU Haixu1, ZHANG Hujun2, CUI Haiqing1
Affiliations
    1. School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China;
    2. Research Institute of Petroleum Exploration and Development, Beijing 100083, China
Published: 2016-01-28 doi: 10.3981/j.issn.1000-7857.2016.2.029
Outline
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This paper analyzes the demand and the characteristics of oil companies in the big data era on basis of summarizing the background of the big data era. Combining with the information system of the CNPC, the production and operation simulation system of oil companies is developed. The overall framework, the technology roadmap, the data connotation, the function and the application prospect of the upstream business production and operation simulation system on the big data platform are demonstrated. The system will play a demonstrative and instructive role for the business information platform construction of oil companies in the big data era.
big data  /  oil company  /  information construction  /  upstream business  /  production operation
曲海旭, 张虎俊, 崔海清. 基于大数据的油公司生产经营模拟系统研制与应用. 科技导报, 2016 , 34 (2) : 178 -183 . DOI: 10.3981/j.issn.1000-7857.2016.2.029
QU Haixu, ZHANG Hujun, CUI Haiqing. A new production operation simulation system and its application to oil companies based on the big data theory[J]. Science & Technology Review, 2016 , 34 (2) : 178 -183 . DOI: 10.3981/j.issn.1000-7857.2016.2.029
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Year 2016 volume 34 Issue 2
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Article Info
doi: 10.3981/j.issn.1000-7857.2016.2.029
  • Receive Date：2015-09-30
  • Online Date：2016-02-04
  • Published：2016-01-28
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  • Received：2015-09-30
  • Revised：2015-10-31
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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