Article(id=1242134470082507610, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242134390566887892, articleNumber=null, orderNo=35, doi=10.3981/j.issn.1000-7857.2016.2.029, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1443542400000, receivedDateStr=2015-09-30, revisedDate=1446220800000, revisedDateStr=2015-10-31, acceptedDate=null, acceptedDateStr=null, onlineDate=1454555982870, onlineDateStr=2016-02-04, pubDate=1453910400000, pubDateStr=2016-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1454555982870, onlineIssueDateStr=2016-02-04, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077535406, creator=sys-migrate, updateTime=1774077535406, updator=sys-migrate, issue=Issue{id=1242134390566887892, tenantId=1146029695717560320, journalId=1146031591421210625, year='2016', volume='34', issue='2', pageStart='1', pageEnd='332', issueExtLink='null', onlineDate='null', pubDate='1453910400000', pubDateStr='2016-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077516449, creator='sys-migrate', updateTime=1774077516449, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=178, endPage=183, ext={EN=ArticleExt(id=1242134476109718344, articleId=1242134470082507610, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A new production operation simulation system and its application to oil companies based on the big data theory, columnId=1242116810380743325, journalTitle=Science & Technology Review, columnName=Reviews, runingTitle=null, highlight=null, articleAbstract=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., authors=QU Haixu¹, ZHANG Hujun², CUI Haiqing¹, authorsList=QU Haixu, ZHANG Hujun, CUI Haiqing, authorCompany=1. School of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China;
2. Research Institute of Petroleum Exploration and Development, Beijing 100083, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=IE+3WQRYohLrdZJ9JWxu6w==, pdfFileSize=3676665, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242134474662687611, articleId=1242134470082507610, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于大数据的油公司生产经营模拟系统研制与应用, columnId=1242116809164390686, journalTitle=科技导报, columnName=综述文章, runingTitle=null, highlight=null, articleAbstract=分析了中国石油大数据时代的需求和特点。结合中国石油信息化建设,研发了油公司生产经营模拟系统,介绍了上游业务生产经营模拟系统的总体思路和技术路线,依托大数据平台的数据和内涵及生产经营模拟系统的功能与应用前景等,探讨了油公司在大数据时代下的业务信息化平台建设。, authors=曲海旭¹, 张虎俊², 崔海清¹, authorsList=曲海旭, 张虎俊, 崔海清, authorCompany=1. 东北石油大学石油工程学院, 大庆 163318;
2. 中国石油勘探开发研究院, 北京 100083, correspAuthors=null, authorNote=曲海旭,博士研究生,研究方向为油气井工程,电子信箱:haixu0825@163.com, correspAuthorsNote=张虎俊,教授级高级工程师,研究方向为油气田开发,电子信箱:ymzhanghj@petrochina.com.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=kytbVzBu4/uD+JcK8fzdZg==, pdfFileSize=3676665, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=[Author(id=1280034171116565431, tenantId=1146029695717560320, journalId=null, articleId=1242134470082507610, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={}, companyList=null)], 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