A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways
A novel approach, based on geotracer compositional correlation analysis is reported, which reveals the oil charge sequence and migration pathways for five oil fields in Saudi Arabia. The geotracers utilised are carbazoles, a family of neutral pyrrolic nitrogen compounds known to occur naturally in c...
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| Veröffentlicht in: | Scientific reports 2016-03, Vol.6 (1), p.23066-23066, Article 23066 |
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| description | A novel approach, based on geotracer compositional correlation analysis is reported, which reveals the oil charge sequence and migration pathways for five oil fields in Saudi Arabia. The geotracers utilised are carbazoles, a family of neutral pyrrolic nitrogen compounds known to occur naturally in crude oils. The approach is based on the concept that closely related fields, with respect to filling sequence, will show a higher carbazole compositional correlation, than those fields that are less related. That is, carbazole compositional correlation coefficients can quantify the charge and filling relationships among different fields. Consequently, oil migration pathways can be defined based on the established filling relationships. The compositional correlation coefficients of isomers of C
1
and C
2
carbazoles, and benzo[a]carbazole for all different combination pairs of the five fields were found to vary extremely widely (0.28 to 0.94). A wide range of compositional correlation coefficients allows adequate differentiation of separate filling relationships. Based on the established filling relationships, three distinct migration pathways were inferred, with each apparently being charged from a different part of a common source kitchen. The recognition of these charge and migration pathways will greatly aid the search for new accumulations. |
| doi_str_mv | 10.1038/srep23066 |
| format | Article |
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1
and C
2
carbazoles, and benzo[a]carbazole for all different combination pairs of the five fields were found to vary extremely widely (0.28 to 0.94). A wide range of compositional correlation coefficients allows adequate differentiation of separate filling relationships. Based on the established filling relationships, three distinct migration pathways were inferred, with each apparently being charged from a different part of a common source kitchen. The recognition of these charge and migration pathways will greatly aid the search for new accumulations.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep23066</identifier><identifier>PMID: 26965479</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/2151/209 ; 704/2151/213 ; Carbazole ; Correlation analysis ; Correlation coefficient ; Humanities and Social Sciences ; Isomers ; multidisciplinary ; Oil ; Oil and gas fields ; Science</subject><ispartof>Scientific reports, 2016-03, Vol.6 (1), p.23066-23066, Article 23066</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Mar 2016</rights><rights>Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-89b1d7c6f66f5f5f5b5288daf0a76385dfaee174fe20c89745dea3e67a17fdb63</citedby><cites>FETCH-LOGICAL-c438t-89b1d7c6f66f5f5f5b5288daf0a76385dfaee174fe20c89745dea3e67a17fdb63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786862/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786862/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26965479$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Yunlai</creatorcontrib><creatorcontrib>Arouri, Khaled</creatorcontrib><title>A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>A novel approach, based on geotracer compositional correlation analysis is reported, which reveals the oil charge sequence and migration pathways for five oil fields in Saudi Arabia. The geotracers utilised are carbazoles, a family of neutral pyrrolic nitrogen compounds known to occur naturally in crude oils. The approach is based on the concept that closely related fields, with respect to filling sequence, will show a higher carbazole compositional correlation, than those fields that are less related. That is, carbazole compositional correlation coefficients can quantify the charge and filling relationships among different fields. Consequently, oil migration pathways can be defined based on the established filling relationships. The compositional correlation coefficients of isomers of C
1
and C
2
carbazoles, and benzo[a]carbazole for all different combination pairs of the five fields were found to vary extremely widely (0.28 to 0.94). A wide range of compositional correlation coefficients allows adequate differentiation of separate filling relationships. Based on the established filling relationships, three distinct migration pathways were inferred, with each apparently being charged from a different part of a common source kitchen. The recognition of these charge and migration pathways will greatly aid the search for new accumulations.</description><subject>704/2151/209</subject><subject>704/2151/213</subject><subject>Carbazole</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Humanities and Social Sciences</subject><subject>Isomers</subject><subject>multidisciplinary</subject><subject>Oil</subject><subject>Oil and gas fields</subject><subject>Science</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkV1LwzAUhoMobsxd-Aek4I0K0yZpk_RGGEOnoEz8uA5Ze7pltE1Nusn-vSmbY2pykXNyHt5zkhehUxxe45CKG2ehJjRk7AB1SRjFA0IJOdyLO6jv3CL0KyZJhJNj1CEsYXHEky6Sw-BNl3UBwRhMY1UKNhiZsjZON9pUqvCZtVCoNguG_mLttAteYQWqcMFEe2Cu7AwCVWXBs57ZDfmimvmXWrsTdJR7EPrbs4c-7u_eRw-Dp8n4cTR8GqQRFc1AJFOc8ZTljOVxu6cxESJTeag4oyLOcgWAeZQDCVOR8CjOQFFgXGGeZ1NGe-h2o1svpyVkKVT-MYWsrS6VXUujtPxdqfRczsxKRlwwwYgXuNgKWPO5BNfIUrsUikJVYJZOYs6JoFREba_zP-jCLK3_Gk-JRHDCsGipyw2VWuO8SfluGBzK1jm5c86zZ_vT78gfnzxwtQGcL1UzsHst_6l9A986pBQ</recordid><startdate>20160311</startdate><enddate>20160311</enddate><creator>Yang, Yunlai</creator><creator>Arouri, Khaled</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160311</creationdate><title>A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways</title><author>Yang, Yunlai ; Arouri, Khaled</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-89b1d7c6f66f5f5f5b5288daf0a76385dfaee174fe20c89745dea3e67a17fdb63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>704/2151/209</topic><topic>704/2151/213</topic><topic>Carbazole</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Humanities and Social Sciences</topic><topic>Isomers</topic><topic>multidisciplinary</topic><topic>Oil</topic><topic>Oil and gas fields</topic><topic>Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Yunlai</creatorcontrib><creatorcontrib>Arouri, Khaled</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Yunlai</au><au>Arouri, Khaled</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-03-11</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>23066</spage><epage>23066</epage><pages>23066-23066</pages><artnum>23066</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>A novel approach, based on geotracer compositional correlation analysis is reported, which reveals the oil charge sequence and migration pathways for five oil fields in Saudi Arabia. The geotracers utilised are carbazoles, a family of neutral pyrrolic nitrogen compounds known to occur naturally in crude oils. The approach is based on the concept that closely related fields, with respect to filling sequence, will show a higher carbazole compositional correlation, than those fields that are less related. That is, carbazole compositional correlation coefficients can quantify the charge and filling relationships among different fields. Consequently, oil migration pathways can be defined based on the established filling relationships. The compositional correlation coefficients of isomers of C
1
and C
2
carbazoles, and benzo[a]carbazole for all different combination pairs of the five fields were found to vary extremely widely (0.28 to 0.94). A wide range of compositional correlation coefficients allows adequate differentiation of separate filling relationships. Based on the established filling relationships, three distinct migration pathways were inferred, with each apparently being charged from a different part of a common source kitchen. The recognition of these charge and migration pathways will greatly aid the search for new accumulations.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26965479</pmid><doi>10.1038/srep23066</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 704/2151/209 704/2151/213 Carbazole Correlation analysis Correlation coefficient Humanities and Social Sciences Isomers multidisciplinary Oil Oil and gas fields Science |
| title | A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
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