Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography
Carbonate rocks constitute a large number of petroleum reservoirs worldwide. Notwithstanding, the characterization of these rocks is still a challenge due to their high complexity and pore space variability, indicating the importance of further studies to reduce uncertainty in reservoir interpretati...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universidade de São Paulo
2018-09-01
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| Series: | Geologia USP. Série Científica |
| Subjects: | |
| Online Access: | http://www.revistas.usp.br/guspsc/article/view/124101 |
| _version_ | 1811266568337752064 |
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| author | Aline Maria Poças Belila Michelle Chaves Kuroda João Paulo da Ponte Souza Alexandre Campane Vidal Osvair Vidal Trevisan |
| author_facet | Aline Maria Poças Belila Michelle Chaves Kuroda João Paulo da Ponte Souza Alexandre Campane Vidal Osvair Vidal Trevisan |
| author_sort | Aline Maria Poças Belila |
| collection | DOAJ |
| description | Carbonate rocks constitute a large number of petroleum reservoirs worldwide. Notwithstanding, the characterization of these rocks is still a challenge due to their high complexity and pore space variability, indicating the importance of further studies to reduce uncertainty in reservoir interpretation and characterization. This work was performed for coquina samples from Morro do Chaves Formation (Sergipe-Alagoas Basin), analogous to important Brazilian reservoirs. Computed tomography (CT) was used for three-dimensional characterization of rock structure. The neural network named Self-Organizing Maps (SOM) was used for CT images segmentation. According to our tests, CT demonstrated to be a consistent tool for quantitative and qualitative analysis of heterogeneous pore space, by the evaluation of porosity, connectivity and the representative elementary volume. |
| first_indexed | 2024-04-12T20:45:37Z |
| format | Article |
| id | doaj.art-1a3536ff06604ec6bc4773e64bfd3984 |
| institution | Directory Open Access Journal |
| issn | 2316-9095 |
| language | English |
| last_indexed | 2024-04-12T20:45:37Z |
| publishDate | 2018-09-01 |
| publisher | Universidade de São Paulo |
| record_format | Article |
| series | Geologia USP. Série Científica |
| spelling | doaj.art-1a3536ff06604ec6bc4773e64bfd39842022-12-22T03:17:17ZengUniversidade de São PauloGeologia USP. Série Científica2316-90952018-09-0118310.11606/issn.2316-9095.v18-124101Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomographyAline Maria Poças Belila0Michelle Chaves Kuroda1João Paulo da Ponte SouzaAlexandre Campane Vidal2Osvair Vidal Trevisan3Universidade Estadual de CampinasUniversidade Estadual de Campinas. Faculdade de Engenharia MecânicaUniversidade Estadual de Campinas. Instituto de GeociênciasUniversidade Estadual de Campinas. Faculdade de Engenharia MecânicaCarbonate rocks constitute a large number of petroleum reservoirs worldwide. Notwithstanding, the characterization of these rocks is still a challenge due to their high complexity and pore space variability, indicating the importance of further studies to reduce uncertainty in reservoir interpretation and characterization. This work was performed for coquina samples from Morro do Chaves Formation (Sergipe-Alagoas Basin), analogous to important Brazilian reservoirs. Computed tomography (CT) was used for three-dimensional characterization of rock structure. The neural network named Self-Organizing Maps (SOM) was used for CT images segmentation. According to our tests, CT demonstrated to be a consistent tool for quantitative and qualitative analysis of heterogeneous pore space, by the evaluation of porosity, connectivity and the representative elementary volume.http://www.revistas.usp.br/guspsc/article/view/124101CoquinasX-ray computed tomographyPetrophysicsRepresentative elementary volume |
| spellingShingle | Aline Maria Poças Belila Michelle Chaves Kuroda João Paulo da Ponte Souza Alexandre Campane Vidal Osvair Vidal Trevisan Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography Geologia USP. Série Científica Coquinas X-ray computed tomography Petrophysics Representative elementary volume |
| title | Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography |
| title_full | Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography |
| title_fullStr | Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography |
| title_full_unstemmed | Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography |
| title_short | Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography |
| title_sort | petrophysical characterization of coquinas from morro do chaves formation sergipe alagoas basin by x ray computed tomography |
| topic | Coquinas X-ray computed tomography Petrophysics Representative elementary volume |
| url | http://www.revistas.usp.br/guspsc/article/view/124101 |
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