Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir.
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| Title: | Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir. |
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| Authors: | Mirshadi, Ahadollah1, Javaherian, Abdolrahim1 javaherian@aut.ac.ir, Saberi, Mohammad Reza2, Kadkhodaie, Ali3, Khoshdel, Hossein1 |
| Source: | Journal of Petroleum Exploration & Production Technology. Sep2024, Vol. 14 Issue 8/9, p2379-2397. 19p. |
| Subject Terms: | *Petrophysics, *Carbonate reservoirs, *Carbonate minerals, *Physics, *Nuclear magnetic resonance, *Carbonates, *Carbonate rocks, *Gamma rays |
| Geographic Terms: | Iran |
| Abstract: | Pore types in carbonate reservoirs are more complex than their sandstone counterparts due to the wide spectrum of their depositional environments and their more complicated post-depositional processes. This means that a good knowledge of pore types is vital in determining carbonate formation's elastic and reservoir properties. This study aims to develop a multi-physics approach to determine pore-type variations in a carbonate reservoir using well log information from one of the oilfields of the Abadan Plain in southwest Iran. Firstly, we determined lithology, porosity, and fluid content by interpreting conventional well logs (gamma ray, resistivity, density, neutron, photoelectric, and P-wave sonic). Then, nuclear magnetic resonance data were used to determine different pore types within the Main Ilam and Sarvak formations. We distinguished between clay, micro, meso, and macro pore types. We confirmed our interpretation results using thin sections, scanning electron microscopy photographs, and pore-size distribution on the available core plugs. Finally, a carbonate rock physics model was employed to model sonic velocities using petrophysical interpretation along with pore-type determination results. A good match between modeled and measured sonic velocities confirmed that using nuclear magnetic resonance data for pore-type determination can reasonably estimate pore-type variations needed for rock physics modeling. The standard industry procedure for carbonate rock physics modeling uses sonic logs, core data, or thin sections to determine pore types. We offer a substitute approach with reasonable accuracy for pore-type modeling needed for carbonate rock physics modeling. We modeled pore types independently from sonic velocity and used them to predict P-wave velocity with a correlation coefficient of 92 and 64 percent accuracy in the Main Ilam and Sarvak formations. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 179504825 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mirshadi%2C+Ahadollah%22">Mirshadi, Ahadollah</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Javaherian%2C+Abdolrahim%22">Javaherian, Abdolrahim</searchLink><relatesTo>1</relatesTo><i> javaherian@aut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Saberi%2C+Mohammad+Reza%22">Saberi, Mohammad Reza</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kadkhodaie%2C+Ali%22">Kadkhodaie, Ali</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Khoshdel%2C+Hossein%22">Khoshdel, Hossein</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Petroleum+Exploration+%26+Production+Technology%22">Journal of Petroleum Exploration & Production Technology</searchLink>. Sep2024, Vol. 14 Issue 8/9, p2379-2397. 19p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Petrophysics%22">Petrophysics</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbonate+reservoirs%22">Carbonate reservoirs</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbonate+minerals%22">Carbonate minerals</searchLink><br />*<searchLink fieldCode="DE" term="%22Physics%22">Physics</searchLink><br />*<searchLink fieldCode="DE" term="%22Nuclear+magnetic+resonance%22">Nuclear magnetic resonance</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbonates%22">Carbonates</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbonate+rocks%22">Carbonate rocks</searchLink><br />*<searchLink fieldCode="DE" term="%22Gamma+rays%22">Gamma rays</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Iran%22">Iran</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Pore types in carbonate reservoirs are more complex than their sandstone counterparts due to the wide spectrum of their depositional environments and their more complicated post-depositional processes. This means that a good knowledge of pore types is vital in determining carbonate formation's elastic and reservoir properties. This study aims to develop a multi-physics approach to determine pore-type variations in a carbonate reservoir using well log information from one of the oilfields of the Abadan Plain in southwest Iran. Firstly, we determined lithology, porosity, and fluid content by interpreting conventional well logs (gamma ray, resistivity, density, neutron, photoelectric, and P-wave sonic). Then, nuclear magnetic resonance data were used to determine different pore types within the Main Ilam and Sarvak formations. We distinguished between clay, micro, meso, and macro pore types. We confirmed our interpretation results using thin sections, scanning electron microscopy photographs, and pore-size distribution on the available core plugs. Finally, a carbonate rock physics model was employed to model sonic velocities using petrophysical interpretation along with pore-type determination results. A good match between modeled and measured sonic velocities confirmed that using nuclear magnetic resonance data for pore-type determination can reasonably estimate pore-type variations needed for rock physics modeling. The standard industry procedure for carbonate rock physics modeling uses sonic logs, core data, or thin sections to determine pore types. We offer a substitute approach with reasonable accuracy for pore-type modeling needed for carbonate rock physics modeling. We modeled pore types independently from sonic velocity and used them to predict P-wave velocity with a correlation coefficient of 92 and 64 percent accuracy in the Main Ilam and Sarvak formations. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=179504825 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13202-024-01829-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 2379 Subjects: – SubjectFull: Petrophysics Type: general – SubjectFull: Carbonate reservoirs Type: general – SubjectFull: Carbonate minerals Type: general – SubjectFull: Physics Type: general – SubjectFull: Nuclear magnetic resonance Type: general – SubjectFull: Carbonates Type: general – SubjectFull: Carbonate rocks Type: general – SubjectFull: Gamma rays Type: general – SubjectFull: Iran Type: general Titles: – TitleFull: Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mirshadi, Ahadollah – PersonEntity: Name: NameFull: Javaherian, Abdolrahim – PersonEntity: Name: NameFull: Saberi, Mohammad Reza – PersonEntity: Name: NameFull: Kadkhodaie, Ali – PersonEntity: Name: NameFull: Khoshdel, Hossein IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 21900558 Numbering: – Type: volume Value: 14 – Type: issue Value: 8/9 Titles: – TitleFull: Journal of Petroleum Exploration & Production Technology Type: main |
| ResultId | 1 |
