Method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science)
Provided is a method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science). The method of oil well classification and reservoir zoning based on SPSS can solve the technical problems that the traditional correlation research methods are time-consuming...
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| creator | LIU ZHENPING FENG LIJUAN ZHU YATING ZHOU YUHUI ZOU WEI ZHANG QIANG CHENG HONGJIE LENG RUNXI QI LISHA WANG XIAOGUANG QIAN CHUANCHUAN CHEN YUKUN JIANG ZHIBIN ZHANG JIGANG SU HAIBIN |
| description | Provided is a method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science). The method of oil well classification and reservoir zoning based on SPSS can solve the technical problems that the traditional correlation research methods are time-consuming and laborious, and the rationality of the subarea is not verified. The method of oil well classification and reservoir zoning comprises the following steps: step one, principal component analysis is carried out; the principal component analysis is to use the Bartlett sphericity test or KMO method to determine whether the factors are suitable for factor analysis; step two, the principal component factor is extracted and determined by using SPSS software; step three: the oil well is classified according to the determined principal component factor; step four: the principal component factor weights are excavated by using SPSS(statistic package for social science) software, and a subarea coefficient model is establish |
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The method of oil well classification and reservoir zoning based on SPSS can solve the technical problems that the traditional correlation research methods are time-consuming and laborious, and the rationality of the subarea is not verified. The method of oil well classification and reservoir zoning comprises the following steps: step one, principal component analysis is carried out; the principal component analysis is to use the Bartlett sphericity test or KMO method to determine whether the factors are suitable for factor analysis; step two, the principal component factor is extracted and determined by using SPSS software; step three: the oil well is classified according to the determined principal component factor; step four: the principal component factor weights are excavated by using SPSS(statistic package for social science) software, and a subarea coefficient model is establish</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170613&DB=EPODOC&CC=CN&NR=106844993A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76292</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170613&DB=EPODOC&CC=CN&NR=106844993A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU ZHENPING</creatorcontrib><creatorcontrib>FENG LIJUAN</creatorcontrib><creatorcontrib>ZHU YATING</creatorcontrib><creatorcontrib>ZHOU YUHUI</creatorcontrib><creatorcontrib>ZOU WEI</creatorcontrib><creatorcontrib>ZHANG QIANG</creatorcontrib><creatorcontrib>CHENG HONGJIE</creatorcontrib><creatorcontrib>LENG RUNXI</creatorcontrib><creatorcontrib>QI LISHA</creatorcontrib><creatorcontrib>WANG XIAOGUANG</creatorcontrib><creatorcontrib>QIAN CHUANCHUAN</creatorcontrib><creatorcontrib>CHEN YUKUN</creatorcontrib><creatorcontrib>JIANG ZHIBIN</creatorcontrib><creatorcontrib>ZHANG JIGANG</creatorcontrib><creatorcontrib>SU HAIBIN</creatorcontrib><title>Method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science)</title><description>Provided is a method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science). The method of oil well classification and reservoir zoning based on SPSS can solve the technical problems that the traditional correlation research methods are time-consuming and laborious, and the rationality of the subarea is not verified. The method of oil well classification and reservoir zoning comprises the following steps: step one, principal component analysis is carried out; the principal component analysis is to use the Bartlett sphericity test or KMO method to determine whether the factors are suitable for factor analysis; step two, the principal component factor is extracted and determined by using SPSS software; step three: the oil well is classified according to the determined principal component factor; step four: the principal component factor weights are excavated by using SPSS(statistic package for social science) software, and a subarea coefficient model is establish</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2017</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEKwkAQANNYiPqHtdNCUCJiSgmKjSLEPqyXvbh47IbbQ8HXG8QHWE0xM8NMTpTu2oB6UA7wohDABTRjzw4TqwBK83WRjOJTOcJbhaWFGxr1SqC6VNXMUp9bYgcduge2BF4jmDrGAOaYxNF8nA08BqPJj6Nsethfy-OCOq3J-pOEUl2eV8vNdr0uinyX_9N8AF7kQeo</recordid><startdate>20170613</startdate><enddate>20170613</enddate><creator>LIU ZHENPING</creator><creator>FENG LIJUAN</creator><creator>ZHU YATING</creator><creator>ZHOU YUHUI</creator><creator>ZOU WEI</creator><creator>ZHANG QIANG</creator><creator>CHENG HONGJIE</creator><creator>LENG RUNXI</creator><creator>QI LISHA</creator><creator>WANG XIAOGUANG</creator><creator>QIAN CHUANCHUAN</creator><creator>CHEN YUKUN</creator><creator>JIANG ZHIBIN</creator><creator>ZHANG JIGANG</creator><creator>SU HAIBIN</creator><scope>EVB</scope></search><sort><creationdate>20170613</creationdate><title>Method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science)</title><author>LIU ZHENPING ; FENG LIJUAN ; ZHU YATING ; ZHOU YUHUI ; ZOU WEI ; ZHANG QIANG ; CHENG HONGJIE ; LENG RUNXI ; QI LISHA ; WANG XIAOGUANG ; QIAN CHUANCHUAN ; CHEN YUKUN ; JIANG ZHIBIN ; ZHANG JIGANG ; SU HAIBIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN106844993A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2017</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>LIU ZHENPING</creatorcontrib><creatorcontrib>FENG LIJUAN</creatorcontrib><creatorcontrib>ZHU YATING</creatorcontrib><creatorcontrib>ZHOU YUHUI</creatorcontrib><creatorcontrib>ZOU WEI</creatorcontrib><creatorcontrib>ZHANG QIANG</creatorcontrib><creatorcontrib>CHENG HONGJIE</creatorcontrib><creatorcontrib>LENG RUNXI</creatorcontrib><creatorcontrib>QI LISHA</creatorcontrib><creatorcontrib>WANG XIAOGUANG</creatorcontrib><creatorcontrib>QIAN CHUANCHUAN</creatorcontrib><creatorcontrib>CHEN YUKUN</creatorcontrib><creatorcontrib>JIANG ZHIBIN</creatorcontrib><creatorcontrib>ZHANG JIGANG</creatorcontrib><creatorcontrib>SU HAIBIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU ZHENPING</au><au>FENG LIJUAN</au><au>ZHU YATING</au><au>ZHOU YUHUI</au><au>ZOU WEI</au><au>ZHANG QIANG</au><au>CHENG HONGJIE</au><au>LENG RUNXI</au><au>QI LISHA</au><au>WANG XIAOGUANG</au><au>QIAN CHUANCHUAN</au><au>CHEN YUKUN</au><au>JIANG ZHIBIN</au><au>ZHANG JIGANG</au><au>SU HAIBIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science)</title><date>2017-06-13</date><risdate>2017</risdate><abstract>Provided is a method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science). The method of oil well classification and reservoir zoning based on SPSS can solve the technical problems that the traditional correlation research methods are time-consuming and laborious, and the rationality of the subarea is not verified. The method of oil well classification and reservoir zoning comprises the following steps: step one, principal component analysis is carried out; the principal component analysis is to use the Bartlett sphericity test or KMO method to determine whether the factors are suitable for factor analysis; step two, the principal component factor is extracted and determined by using SPSS software; step three: the oil well is classified according to the determined principal component factor; step four: the principal component factor weights are excavated by using SPSS(statistic package for social science) software, and a subarea coefficient model is establish</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science) |
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