Article(id=1242133383501914730, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242133364682076755, articleNumber=null, orderNo=12, doi=10.3981/j.issn.1000-7857.2015.09.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1414684800000, receivedDateStr=2014-10-31, revisedDate=1417708800000, revisedDateStr=2014-12-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1431683377960, onlineDateStr=2015-05-15, pubDate=1431446400000, pubDateStr=2015-05-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1431683377960, onlineIssueDateStr=2015-05-15, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077276345, creator=sys-migrate, updateTime=1774077276345, updator=sys-migrate, issue=Issue{id=1242133364682076755, tenantId=1146029695717560320, journalId=1146031591421210625, year='2015', volume='33', issue='9', pageStart='1', pageEnd='128', issueExtLink='null', onlineDate='null', pubDate='1431446400000', pubDateStr='2015-05-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077271857, creator='sys-migrate', updateTime=1774077271857, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=59, endPage=63, ext={EN=ArticleExt(id=1242133393287226009, articleId=1242133383501914730, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The method of multi well deliverability forecasting based on the geophysical logging information and the limited well testing data, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=Due to the limited well test data, it is difficult to obtain effective information about deliverability in some wells. In this paper, the calibration factor of deliverability is introduced and the calculation methods of the influencing factors are studied, to establish a deliverability forecasting method. The geophysical logging static information is first calibrated by the dynamic data of the well test. Then the deliverability of the whole field is forecasted by the calibrated static data. The seismic data, the geophysical logging data at the beginning of exploration and production, and the well test dynamic data of few important wells are made the best use in this method. This method is applied in some wells in the M gas field. The forcasting deliverability results agree well with the actual deliverability. The calculation precision of the new method is high enough to meet the demand of the project design., authors=ZHU Lei, authorsList=ZHU Lei, authorCompany=CNOOC Research Institute, Beijing 100028, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Nday1EQPsakVSUpXuYlyBA==, pdfFileSize=2946539, 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=1242133390959387274, articleId=1242133383501914730, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于物探测井信息及有限试井资料的多井产能预测方法, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=为克服某些井试井资料少、难以获取有效产能信息, 引入产能刻度因子, 基于地质统计学理论, 研究了影响小层产能刻度因子的小层有效渗透率、有效厚度的计算方法, 建立了使用试井动态资料刻度物探测井静态资料, 用刻度后的静态资料进行整个气藏的产能预测。该方法能够充分利用地震、物探和测井等静态信息, 结合少量重点井的试井动态解释结果进行产能预测。将该方法应用于M 气田的某些井, 预测得到的产能接近气井实际产能, 满足工程计算的需要。, authors=朱磊, authorsList=朱磊, authorCompany=中海油研究总院, 北京100028, correspAuthors=null, authorNote=朱磊, 工程师, 研究方向为石油工程设计, 电子信箱:zhulei2@cnooc.com.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=16WPaUPz5nVl0yxJqtl19Q==, pdfFileSize=2946539, 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=国家科技重大专项(2011ZX05030-005))}, authors=null, keywords=[Keyword(id=1242133389457826419, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=CN, orderNo=1, keyword=物探测井), Keyword(id=1242133389541712500, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=CN, orderNo=1, keyword=试井), Keyword(id=1242133389629792887, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=CN, orderNo=1, keyword=静态资料), Keyword(id=1242133389717873274, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=CN, orderNo=1, keyword=动态资料), Keyword(id=1242133389797565053, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=CN, orderNo=1, keyword=产能预测), Keyword(id=1242133389927592612, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=CN, orderNo=1, keyword=刻度因子), Keyword(id=1242133392637108880, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=EN, orderNo=1, keyword=geophysical logging), Keyword(id=1242133392725189266, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=EN, orderNo=1, keyword=well test), Keyword(id=1242133392901350036, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=EN, orderNo=1, keyword=static data), Keyword(id=1242133392985236117, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=EN, orderNo=1, keyword=dynamic data), Keyword(id=1242133393081705111, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=EN, orderNo=1, keyword=deliverability forecast), Keyword(id=1242133393165591192, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242133383501914730, language=EN, orderNo=1, keyword=calibration factor)], refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=Journal(id=1125356956822126595, delFlag=0, nameCn=科技导报, nameEn=Science & Technology Review, nameHistory1=null, nameHistory2=null, issn=1000-7857, eissn=, cn=11-1421/N, coden=null, periodic=3, language=CN, oaType=0, ccby=null, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=wfghvu3bhh/dKxuZ+ucVHA==, journalPrice=null, startedYear=null, abbrevIsoEn=Sci Technol Rev, journalRemark=null, publicationField=null, createdTime=null, updatedTime=1784015846012, createdBy=null, updatedBy=13041195026, firstLetterCn=K, firstLetterEn=K, subjectCode=Natural Sciences, subjectName=自然科学, subjectCodeEn=Natural Sciences, subjectNameEn=null, picCn=wfghvu3bhh/dKxuZ+ucVHA==, picEn=yjSfclmpNm7ihn9NbTZ69g==, jcr=null, cjcr=null, exts=[JournalExt(id=1283818766098219763, language=CN, name=科技导报, nameHistory1=null, nameHistory2=null, managedBy=中国科学技术协会, sponsoredBy=中国科学技术协会, publishedBy=科技导报社, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=http://www.kjdb.org/CN/home, createdTime=1784015846037, updatedTime=1784015846037, createdBy=13041195026, updatedBy=13041195026, submissionGuidelinesUrl=http://www.kjdb.org/CN/column/column7.shtml, submissionAuthorUrl=https://kjdbauthor.cast.org.cn/webm, submissionEditorUrl=https://kjdbeditor.cast.org.cn/webm/, submissionReviewUrl=https://kjdbauthor.cast.org.cn/webm, submissionCeEditorUrl=https://kjdbeditor.cast.org.cn/webm/, submissionAeEditorUrl=https://kjdbeditor.cast.org.cn/webm/, option={"copyright":""}), JournalExt(id=1283818766144357108, language=EN, name=Science & Technology Review, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=http://www.kjdb.org/EN/home, createdTime=1784015846048, updatedTime=1784015846048, createdBy=13041195026, updatedBy=13041195026, submissionGuidelinesUrl=http://www.kjdb.org/EN/column/column7.shtml, submissionAuthorUrl=https://kjdbauthor.manuscriptcloud.com/login, submissionEditorUrl=https://kjdbeditor.manuscriptcloud.com/login, submissionReviewUrl=https://kjdbauthor.manuscriptcloud.com/login, submissionCeEditorUrl=https://kjdbeditor.manuscriptcloud.com/login, submissionAeEditorUrl=https://kjdbeditor.manuscriptcloud.com/login, option={"copyright":""})], databaseList=null, tenantJournalId=1146031591421210625, websiteList=[Website(id=1146104741081231361, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1146031591421210625, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/kjdb/CN, language=CN, createTime=1751182263881, createBy=18614031015, updateTime=1751778001962, updateBy=18614031015, name=科技导报, tplId=1146099689490845704, title=科技导报, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1148021146403992296, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=articleTextType, value=kx, createTime=1751639170504, updateTime=1751639170504, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146378826469, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=banner, value=null, createTime=1751639170498, updateTime=1751639170498, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146366243556, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=logo, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic?fileId=9GHSf7eGlIPH0Tv/OOdstA==, createTime=1751639170495, updateTime=1751639170495, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146395603687, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic, createTime=1751639170502, updateTime=1751639170502, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146387215078, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1751639170500, updateTime=1751639170500, creator=18614031015, updator=18614031015)]), Website(id=1146105254833139715, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1146031591421210625, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/kjdb/EN, language=EN, createTime=1751182386363, createBy=18614031015, updateTime=1753500121937, updateBy=18614031015, name=科技导报, tplId=1146101810881728533, title=Science & Technology Review, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1155838567709528217, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=articleTextType, value=kx, createTime=1753502988984, updateTime=1753502988984, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567692750998, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=banner, value=null, createTime=1753502988980, updateTime=1753502988980, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567688556693, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=logo, value=https://castjournals.cast.org.cn/joweb/kjdb/EN/file/pic?fileId=9GHSf7eGlIPH0Tv/OOdstA==, createTime=1753502988979, updateTime=1753502988979, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567705333912, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/kjdb/EN/file/pic, createTime=1753502988983, updateTime=1753502988983, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567701139607, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_en_623/, createTime=1753502988982, updateTime=1753502988982, creator=18614031015, updator=18614031015)])], journalTitle=科技导报, weixinUrl=null, journalUrl=null, iacademicId=null, status=1, seqNo=null, journalTitleEn=Science & Technology Review, journalPhotoCn=wfghvu3bhh/dKxuZ+ucVHA==, journalPhotoEn=yjSfclmpNm7ihn9NbTZ69g==, journalFirstLetter=K, journalRecommend=null, journalNew=null, journalCollection=1, jcrJf=null, cjcrJf=0.91, jcrJfStr=null, cjcrJfStr=null, submissionFirstDecision=null, sciSubjectClassification=null, casSubjectClassification=null, citeScore=null, totalCitationFrequency=null, icpCode=null, psCode=null, advertisingLicenseCode=null, copyrightInformation=null, country=null, option=, provinceCode=null, provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2015.09.010, detailUrlEn=https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2015.09.010, pdfUrlCn=https://castjournals.cast.org.cn/joweb/kjdb/CN/PDF/10.3981/j.issn.1000-7857.2015.09.010, pdfUrlEn=https://castjournals.cast.org.cn/joweb/kjdb/EN/PDF/10.3981/j.issn.1000-7857.2015.09.010, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1431446400000, fullTextJson=null, articleText=null, reference=null)
收藏切换
基于物探测井信息及有限试井资料的多井产能预测方法
收藏切换
PDF下载
科技导报 | 研究论文 2015,33(9): 59-63
收起
收藏切换
科技导报 |研究论文 2015 , 33 (9) : 59 -63
基于物探测井信息及有限试井资料的多井产能预测方法
全屏
朱磊
作者信息
    中海油研究总院, 北京100028
作者简介:
朱磊, 工程师, 研究方向为石油工程设计, 电子信箱:zhulei2@cnooc.com.cn
The method of multi well deliverability forecasting based on the geophysical logging information and the limited well testing data
  • ZHU Lei
  • Affiliations
      CNOOC Research Institute, Beijing 100028, China
    出版时间: 2015-05-13 doi: 10.3981/j.issn.1000-7857.2015.09.010
    文章导航
    收藏切换
    为克服某些井试井资料少、难以获取有效产能信息, 引入产能刻度因子, 基于地质统计学理论, 研究了影响小层产能刻度因子的小层有效渗透率、有效厚度的计算方法, 建立了使用试井动态资料刻度物探测井静态资料, 用刻度后的静态资料进行整个气藏的产能预测。该方法能够充分利用地震、物探和测井等静态信息, 结合少量重点井的试井动态解释结果进行产能预测。将该方法应用于M 气田的某些井, 预测得到的产能接近气井实际产能, 满足工程计算的需要。
    物探测井  /  试井  /  静态资料  /  动态资料  /  产能预测  /  刻度因子
    Due to the limited well test data, it is difficult to obtain effective information about deliverability in some wells. In this paper, the calibration factor of deliverability is introduced and the calculation methods of the influencing factors are studied, to establish a deliverability forecasting method. The geophysical logging static information is first calibrated by the dynamic data of the well test. Then the deliverability of the whole field is forecasted by the calibrated static data. The seismic data, the geophysical logging data at the beginning of exploration and production, and the well test dynamic data of few important wells are made the best use in this method. This method is applied in some wells in the M gas field. The forcasting deliverability results agree well with the actual deliverability. The calculation precision of the new method is high enough to meet the demand of the project design.
    geophysical logging  /  well test  /  static data  /  dynamic data  /  deliverability forecast  /  calibration factor
    朱磊. 基于物探测井信息及有限试井资料的多井产能预测方法. 科技导报, 2015 , 33 (9) : 59 -63 . DOI: 10.3981/j.issn.1000-7857.2015.09.010
    ZHU Lei. The method of multi well deliverability forecasting based on the geophysical logging information and the limited well testing data[J]. Science & Technology Review, 2015 , 33 (9) : 59 -63 . DOI: 10.3981/j.issn.1000-7857.2015.09.010

      国家科技重大专项(2011ZX05030-005)

    参考文献 引证文献
    排序方式:
    2015年第33卷第9期
    PDF下载
    483
    203
    引用本文
    BibTeX
    文章信息
    doi: 10.3981/j.issn.1000-7857.2015.09.010
    • 接收时间:2014-10-31
    • 首发时间:2015-05-15
    • 出版时间:2015-05-13
    补充材料
    相关文章
    文章信息
    作者
    出版历史
    • 收稿日期:2014-10-31
    • 修回日期:2014-12-05
    基金
    作者信息
    参考文献
    分享链接
    https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2015.09.010
    分享至
    全文二维码

    扫描看全文

    引用本文
    BibTeX
    本文的引用情况
    2种不同金属材料的力学参数

    Family
    属数
    Number of
    genus
    种数
    Number of
    species
    占总种数比例
    Percentage of
    total species (%)

    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
    关闭全屏