Article(id=1242120538169086818, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242120519928058647, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1269878400000, receivedDateStr=2010-03-30, revisedDate=1274976000000, revisedDateStr=2010-05-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1284307200000, onlineDateStr=2010-09-13, pubDate=1284307200000, pubDateStr=2010-09-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1284307200000, onlineIssueDateStr=2010-09-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774074213779, creator=sys-migrate, updateTime=1774074213779, updator=sys-migrate, issue=Issue{id=1242120519928058647, tenantId=1146029695717560320, journalId=1146031591421210625, year='2010', volume='28', issue='17', pageStart='3', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1284307200000', pubDateStr='2010-09-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774074209431, creator='sys-migrate', updateTime=1774074209431, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=72, endPage=76, ext={EN=ArticleExt(id=1242120546352169722, articleId=1242120538169086818, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Application of Time Varying Coupling Model in Prediction of Well Production, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The variation of the oil well production against time is controlled by several factors, in an extremely complicated nonlinear manner. The conventional petroleum reservoir engineering method suffers often from uncertainty of the correlation parameters and a large prediction error. Our analysis shows that the oil well production data have some features of time series. Therefore, the technique of the phase space reconstruction and the G-P method can used to obtain the optimal embed dimension and then to identify the time series of the well oil production. On this basis, by using the support vector machine method, the chaos-SVM model with time varying character is built,. with a very high precision for short-term well productions. In a real application, we can supplement the new historical data in real time to make the rolling prediction. The example W8-5 well application indicates that the relative error of the forecast results is only 7%, which shows that the coupling model has a good forecast ability and is of practical value., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=7SOqkvXdA0ZuAP8Tflka3A==, pdfFileSize=925249, 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=1242120542371775219, articleId=1242120538169086818, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=一种时变耦合模型在油井产量预测中的应用, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=油井产量随时间的变化关系受多种因素的影响,它们之间是一种极其复杂的非线性关系,常规油藏工程研究方法往往受相关参数的不确定性所限,预测误差偏大。分析认为油井产量数据具有时间序列特征,引入相空间重构技术,利用G-P法求出最佳嵌入维数,对油井产量构成的时间序列进行混沌特性识别。在此基础上,利用支持向量机(SVM)方法,构建具有时变特性的混沌-SVM耦合模型,该模型对中、短期的油井产量预测具有很高的精度,在实际应用中,可以不断补充新的历史数据,进行滚动预测,可靠性更高。实例W8-5井的应用效果也表明,预测结果平均相对误差仅为7%,显示出模型具有较好的预测效果和实用价值。, authors=金宝强1,童凯军1,孙红杰2,轩红彦3, authorsList=金宝强;童凯军;孙红杰;轩红彦, authorCompany=1. 中海石油(中国)有限公司天津分公司渤海油田勘探开发研究院,天津 3004522. 中海油田服务股份有限公司天津分公司,天津 3004523. 中国石油天然气股份有限公司青海油田分公司采油一厂,青海敦煌 816400, correspAuthors=null, authorNote=null, correspAuthorsNote=童凯军, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=A9DqKiaGpu02K8TVBYA2ug==, pdfFileSize=925249, 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=1278829338535637397, tenantId=1146029695717560320, journalId=null, articleId=1242120538169086818, 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={CN=AuthorExt(id=null, tenantId=null, journalId=1146031591421210625, articleId=1242120538169086818, authorId=1278829338535637397, language=CN, stringName=金宝强;童凯军;孙红杰;轩红彦, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=null, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=null)], keywords=[Keyword(id=1242120541457421158, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=CN, orderNo=1, keyword=时间序列), Keyword(id=1242120541537112936, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=CN, orderNo=1, keyword=相空间), Keyword(id=1242120541650359146, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=CN, orderNo=1, keyword=G-P法), Keyword(id=1242120541717468012, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=CN, orderNo=1, keyword=混沌-SVM模型), Keyword(id=1242120541784576878, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=CN, orderNo=1, keyword=油井产量), Keyword(id=1242120545857246078, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=EN, orderNo=1, keyword=time series), Keyword(id=1242120545974686591, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=EN, orderNo=1, keyword=phase space), Keyword(id=1242120546033402612, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=EN, orderNo=1, keyword=G-P method), Keyword(id=1242120546117288693, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=EN, orderNo=1, keyword=Chaos-SVM model), Keyword(id=1242120546217951991, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242120538169086818, language=EN, orderNo=1, keyword=oil well production)], 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=1774230116083, createdBy=null, updatedBy=13041195026, firstLetterCn=S, firstLetterEn=S, 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=1242774439910290156, 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=1774230116107, updatedTime=1774230116107, 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=1242774439960621805, 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=1774230116119, updatedTime=1774230116119, 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=S, 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=null, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/kjdb/CN/Y2010/V28/I17/72, detailUrlEn=https://castjournals.cast.org.cn/joweb/kjdb/EN/Y2010/V28/I17/72, pdfUrlCn=https://castjournals.cast.org.cn/joweb/kjdb/CN/PDF/Y2010/V28/I17/72, pdfUrlEn=https://castjournals.cast.org.cn/joweb/kjdb/EN/PDF/Y2010/V28/I17/72, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1284307200000, fullTextJson=null, articleText=null, reference=null)
收藏切换
一种时变耦合模型在油井产量预测中的应用
收藏切换
PDF下载
金宝强;童凯军;孙红杰;轩红彦
科技导报 | 研究论文 2010,28(17): 72-76
收起
收藏切换
科技导报 | 研究论文 2010, 28(17): 72-76
一种时变耦合模型在油井产量预测中的应用
全屏
金宝强;童凯军;孙红杰;轩红彦
作者信息

通讯作者:

童凯军
Application of Time Varying Coupling Model in Prediction of Well Production
Affiliations
出版时间: 2010-09-13
文章导航
收藏切换
油井产量随时间的变化关系受多种因素的影响,它们之间是一种极其复杂的非线性关系,常规油藏工程研究方法往往受相关参数的不确定性所限,预测误差偏大。分析认为油井产量数据具有时间序列特征,引入相空间重构技术,利用G-P法求出最佳嵌入维数,对油井产量构成的时间序列进行混沌特性识别。在此基础上,利用支持向量机(SVM)方法,构建具有时变特性的混沌-SVM耦合模型,该模型对中、短期的油井产量预测具有很高的精度,在实际应用中,可以不断补充新的历史数据,进行滚动预测,可靠性更高。实例W8-5井的应用效果也表明,预测结果平均相对误差仅为7%,显示出模型具有较好的预测效果和实用价值。
时间序列  /  相空间  /  G-P法  /  混沌-SVM模型  /  油井产量
The variation of the oil well production against time is controlled by several factors, in an extremely complicated nonlinear manner. The conventional petroleum reservoir engineering method suffers often from uncertainty of the correlation parameters and a large prediction error. Our analysis shows that the oil well production data have some features of time series. Therefore, the technique of the phase space reconstruction and the G-P method can used to obtain the optimal embed dimension and then to identify the time series of the well oil production. On this basis, by using the support vector machine method, the chaos-SVM model with time varying character is built,. with a very high precision for short-term well productions. In a real application, we can supplement the new historical data in real time to make the rolling prediction. The example W8-5 well application indicates that the relative error of the forecast results is only 7%, which shows that the coupling model has a good forecast ability and is of practical value.
time series  /  phase space  /  G-P method  /  Chaos-SVM model  /  oil well production
金宝强;童凯军;孙红杰;轩红彦. 一种时变耦合模型在油井产量预测中的应用. 科技导报, 2010 , 28 (17) : 72 -76 .
. Application of Time Varying Coupling Model in Prediction of Well Production[J]. Science & Technology Review, 2010 , 28 (17) : 72 -76 .
2010年第28卷第17期
PDF下载
167
49
引用本文
BibTeX
文章信息
  • 接收时间:2010-03-30
  • 首发时间:2010-09-13
  • 出版时间:2010-09-13
补充材料
相关文章
文章信息
作者
出版历史
  • 收稿日期:2010-03-30
  • 修回日期:2010-05-28
基金
作者信息

通讯作者:

童凯军
参考文献
分享链接
https://castjournals.cast.org.cn/joweb/kjdb/CN/1242120538169086818
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