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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786862/ https://www.ncbi.nlm.nih.gov/pubmed/26965479 http://dx.doi.org/10.1038/srep23066 |
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author | Yang, Yunlai Arouri, Khaled |
author_facet | Yang, Yunlai Arouri, Khaled |
author_sort | Yang, Yunlai |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4786862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47868622016-03-14 A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways Yang, Yunlai Arouri, Khaled Sci Rep Article 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. Nature Publishing Group 2016-03-11 /pmc/articles/PMC4786862/ /pubmed/26965479 http://dx.doi.org/10.1038/srep23066 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Yang, Yunlai Arouri, Khaled A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
title | A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
title_full | A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
title_fullStr | A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
title_full_unstemmed | A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
title_short | A Simple Geotracer Compositional Correlation Analysis Reveals Oil Charge and Migration Pathways |
title_sort | simple geotracer compositional correlation analysis reveals oil charge and migration pathways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786862/ https://www.ncbi.nlm.nih.gov/pubmed/26965479 http://dx.doi.org/10.1038/srep23066 |
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