Article(id=1242132419462115415, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242132405067264043, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2014.24.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1396886400000, receivedDateStr=2014-04-08, revisedDate=1402502400000, revisedDateStr=2014-06-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1409128492610, onlineDateStr=2014-08-27, pubDate=1409155200000, pubDateStr=2014-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1409128492610, onlineIssueDateStr=2014-08-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077046499, creator=sys-migrate, updateTime=1774077046499, updator=sys-migrate, issue=Issue{id=1242132405067264043, tenantId=1146029695717560320, journalId=1146031591421210625, year='2014', volume='32', issue='24', pageStart='1', pageEnd='95', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077043069, creator=sys-migrate, updateTime=1774077043069, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=46, endPage=50, ext={EN=ArticleExt(id=1242132425061507974, articleId=1242132419462115415, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Reservoir Classification and Application Based on Mercury Injection Coefficient, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=This paper proposes a reservoir classification method based on mercury injection data, according to the principle that the characteristic parameters in mercury injection method reflect the pore structure and permeability of the reservoir. Firstly, the lower limit of porosity was determined and the sensitive characteristic parameters were selected from the mercury injection data. The relationship map of property and oiliness of the study area shows that the lower limit of porosity of Kong 2 Member is 11%, namely the upper limit of the forth type of reservoir. However, the relationship map between electricity and oiliness shows that the lower limit of porosity of Kong 2 Member is 15%, namely the upper limit of the third type of reservoir. Relationship analysis of the mercury injection parameters and RQI shows the average pore throat radius, replacement pressure and sorting coefficient are the sensitive parameters that reflect effectiveness of the reservoir. The mercury injection coefficient that describes reservoir effectiveness was founded, and the classification standard based on mercury injection data was founded. Finally, the reservoirs are classified into four types. The quality of the first type is the best, and that of the fourth type is the worst. The logging data was processed by this method and the effect was checked by the physical property, particle size and oil test data. The results demonstrate that this method is reasonable and reliable., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=KVIu3yalHXJYV1De3D6xiA==, pdfFileSize=4553612, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Reservoir Evaluation Center, China Petroleum Logging Co., Ltd., Xi'an 710077, China;
2. School of Petroleum Engineering, Yangtze University, Wuhan 430100, China, fund=null, authors=YANG Ling¹, CHENG Daojie¹, LIU Baolei², BAI Songtao¹, authorsList=YANG Ling, CHENG Daojie, LIU Baolei, BAI Songtao), CN=ArticleExt(id=1242132422305853541, articleId=1242132419462115415, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于压汞系数的储层评价分类方法, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=针对复杂储层评价这一难题，根据压汞特征参数能够表征储层孔隙结构进而有效反映储层渗透性原理，提出基于压汞资料的储层分类方法。在确定目的层孔隙度下限和优选敏感压汞特征参数并构建能够描述储层有效性的压汞系数的基础上，建立研究区储层的压汞分类标准，最终将区内储层分为四类，其中Ⅰ类储层品质最好，为自然高产区；Ⅳ类储层品质最差，为无效储层区。利用该分类方法对实例井进行处理，并从孔渗、粒度及试油资料等方面进行效果验证，结果均证明这一方法合理、可靠。, correspAuthors=null, authorNote=杨玲，工程师，研究方向为油气测井储层评价，电子信箱：yanglinglbl@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=c1Gq0OTjrsigpPY35yAcJw==, pdfFileSize=4553612, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国石油集团测井有限公司油气评价中心, 西安 710077;
2. 长江大学石油工程学院, 武汉 430100, fund=null, authors=杨玲¹, 程道解¹, 刘保磊², 白松涛¹, authorsList=杨玲, 程道解, 刘保磊, 白松涛)}, authors=null, keywords=[Keyword(id=1242132421907394655, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242132419462115415, language=CN, orderNo=1, keyword=物性下限), Keyword(id=1242132421999669345, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242132419462115415, language=CN, orderNo=1, keyword=压汞系数), Keyword(id=1242132422066778210, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242132419462115415, language=CN, orderNo=1, keyword=储层分类), Keyword(id=1242132422159052899, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242132419462115415, language=CN, orderNo=1, keyword=孔二段), Keyword(id=1242132423257957247, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242132419462115415, language=EN, orderNo=1, keyword=lower limit of physical property), Keyword(id=1242132424759518080, 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