Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits
The purpose of this study is petro-elastic modeling of the Permian deposits occurring in the Kharyaga field, which is located in the Nenets Autonomous District of the Arkhangelsk Region and is confined to the Timan-Pechora Oil and Gas Province. The formations concerned are represented by the Artinsk...
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ftdoajarticles:oai:doaj.org/article:2e3cb59943f84729937864dee5ab0d52 2023-05-15T15:23:57+02:00 Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits Sergey I. Gusev 2020-09-01T00:00:00Z https://doi.org/10.18599/grs.2020.3.62-68 https://doaj.org/article/2e3cb59943f84729937864dee5ab0d52 EN RU eng rus Georesursy Ltd. https://geors.ru/archive/article/1053/ https://doaj.org/toc/1608-5043 https://doaj.org/toc/1608-5078 doi:10.18599/grs.2020.3.62-68 1608-5043 1608-5078 https://doaj.org/article/2e3cb59943f84729937864dee5ab0d52 Georesursy, Vol 22, Iss 3, Pp 62-68 (2020) petro-elastic modeling well logging porosity acoustic impedance shear impedance oil saturation carbonate reservoirs Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.18599/grs.2020.3.62-68 2022-12-31T02:02:32Z The purpose of this study is petro-elastic modeling of the Permian deposits occurring in the Kharyaga field, which is located in the Nenets Autonomous District of the Arkhangelsk Region and is confined to the Timan-Pechora Oil and Gas Province. The formations concerned are represented by the Artinskian and Asselian-Sakmarian deposits, which are mainly composed of carbonate sediments admixed with terrigenous material. At the first stage of the petro-elastic modeling, the initial data quality is evaluated, candidate wells are selected, logging curves for the target formation intervals are adjusted and normalized. After that, a comprehensive interpretation of the well logging data is carried out; reservoirs are identified; porosity and oil saturation are evaluated. At the next stage, a petro-elastic model is built, and analysis is carried out in order to understand whether or not reservoirs can be identified and to evaluate a saturation type within the range of elastic parameters. In such case, the elastic model is selected as a function of sedimentation and diagenetic processes, saturating fluid content, etc. As a result of the modeling process, reservoir/non-reservoir zoning was identified based on acoustic and shear impedance; a relationship between the acoustic impedance and porosity was also established. No correlation between the elastic parameters and the saturation type has been established, which may be attributable to hardness of the carbonate matrix and similar elastic properties of oil and water. Article in Journal/Newspaper Arkhangelsk nenets Pechora Directory of Open Access Journals: DOAJ Articles Georesursy 22 3 62 68 |
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English Russian |
topic |
petro-elastic modeling well logging porosity acoustic impedance shear impedance oil saturation carbonate reservoirs Geology QE1-996.5 |
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petro-elastic modeling well logging porosity acoustic impedance shear impedance oil saturation carbonate reservoirs Geology QE1-996.5 Sergey I. Gusev Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits |
topic_facet |
petro-elastic modeling well logging porosity acoustic impedance shear impedance oil saturation carbonate reservoirs Geology QE1-996.5 |
description |
The purpose of this study is petro-elastic modeling of the Permian deposits occurring in the Kharyaga field, which is located in the Nenets Autonomous District of the Arkhangelsk Region and is confined to the Timan-Pechora Oil and Gas Province. The formations concerned are represented by the Artinskian and Asselian-Sakmarian deposits, which are mainly composed of carbonate sediments admixed with terrigenous material. At the first stage of the petro-elastic modeling, the initial data quality is evaluated, candidate wells are selected, logging curves for the target formation intervals are adjusted and normalized. After that, a comprehensive interpretation of the well logging data is carried out; reservoirs are identified; porosity and oil saturation are evaluated. At the next stage, a petro-elastic model is built, and analysis is carried out in order to understand whether or not reservoirs can be identified and to evaluate a saturation type within the range of elastic parameters. In such case, the elastic model is selected as a function of sedimentation and diagenetic processes, saturating fluid content, etc. As a result of the modeling process, reservoir/non-reservoir zoning was identified based on acoustic and shear impedance; a relationship between the acoustic impedance and porosity was also established. No correlation between the elastic parameters and the saturation type has been established, which may be attributable to hardness of the carbonate matrix and similar elastic properties of oil and water. |
format |
Article in Journal/Newspaper |
author |
Sergey I. Gusev |
author_facet |
Sergey I. Gusev |
author_sort |
Sergey I. Gusev |
title |
Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits |
title_short |
Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits |
title_full |
Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits |
title_fullStr |
Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits |
title_full_unstemmed |
Petro-elastic modeling deliverables for the Kharyaga Permian carbonate deposits |
title_sort |
petro-elastic modeling deliverables for the kharyaga permian carbonate deposits |
publisher |
Georesursy Ltd. |
publishDate |
2020 |
url |
https://doi.org/10.18599/grs.2020.3.62-68 https://doaj.org/article/2e3cb59943f84729937864dee5ab0d52 |
genre |
Arkhangelsk nenets Pechora |
genre_facet |
Arkhangelsk nenets Pechora |
op_source |
Georesursy, Vol 22, Iss 3, Pp 62-68 (2020) |
op_relation |
https://geors.ru/archive/article/1053/ https://doaj.org/toc/1608-5043 https://doaj.org/toc/1608-5078 doi:10.18599/grs.2020.3.62-68 1608-5043 1608-5078 https://doaj.org/article/2e3cb59943f84729937864dee5ab0d52 |
op_doi |
https://doi.org/10.18599/grs.2020.3.62-68 |
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Georesursy |
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22 |
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62 |
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68 |
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