Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt
Abstract The recent surge in artificial intelligence (AI) advancements has been driven by the availability of open datasets for model development and evaluation. However, in the field of earth sciences, particularly in digital rock physics applications, open data remains scarce. To bridge this gap,...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04198-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850100149579153408 |
|---|---|
| author | Alyne Duarte Vidal Aurea Pereira Martins Neta Júlio de Castro Vargas Fernandes Lizianne Carvalho Medeiros Carlos Eduardo Menezes dos Anjos Rodrigo Surmas Alexandre Gonçalves Evsukoff |
| author_facet | Alyne Duarte Vidal Aurea Pereira Martins Neta Júlio de Castro Vargas Fernandes Lizianne Carvalho Medeiros Carlos Eduardo Menezes dos Anjos Rodrigo Surmas Alexandre Gonçalves Evsukoff |
| author_sort | Alyne Duarte Vidal |
| collection | DOAJ |
| description | Abstract The recent surge in artificial intelligence (AI) advancements has been driven by the availability of open datasets for model development and evaluation. However, in the field of earth sciences, particularly in digital rock physics applications, open data remains scarce. To bridge this gap, we introduce a dataset comprising 16 rock samples from the Brazilian pre-salt region, available in both low resolution (48 μm - 64 μm) and high resolution (6 μm - 8 μm). The dataset also includes their respective segmented images into pore and matrix. Furthermore, porosity and permeability values obtained from laboratory measurements are provided for all samples. This dataset serves as a valuable resource for developing and benchmarking AI-based superresolution/segmentation models. Additionally, it can be utilized to develop models for predicting porosity and permeability directly from μ-CT images. |
| format | Article |
| id | doaj-art-e68901fa1a004168a6553bdad5bb97b8 |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-e68901fa1a004168a6553bdad5bb97b82025-08-20T02:40:21ZengNature PortfolioScientific Data2052-44632024-12-0111111010.1038/s41597-024-04198-9Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-saltAlyne Duarte Vidal0Aurea Pereira Martins Neta1Júlio de Castro Vargas Fernandes2Lizianne Carvalho Medeiros3Carlos Eduardo Menezes dos Anjos4Rodrigo Surmas5Alexandre Gonçalves Evsukoff6COPPE - Federal University of Rio de JaneiroCOPPE - Federal University of Rio de JaneiroCOPPE - Federal University of Rio de JaneiroCOPPE - Federal University of Rio de JaneiroCOPPE - Federal University of Rio de JaneiroCENPES - PetrobrasCOPPE - Federal University of Rio de JaneiroAbstract The recent surge in artificial intelligence (AI) advancements has been driven by the availability of open datasets for model development and evaluation. However, in the field of earth sciences, particularly in digital rock physics applications, open data remains scarce. To bridge this gap, we introduce a dataset comprising 16 rock samples from the Brazilian pre-salt region, available in both low resolution (48 μm - 64 μm) and high resolution (6 μm - 8 μm). The dataset also includes their respective segmented images into pore and matrix. Furthermore, porosity and permeability values obtained from laboratory measurements are provided for all samples. This dataset serves as a valuable resource for developing and benchmarking AI-based superresolution/segmentation models. Additionally, it can be utilized to develop models for predicting porosity and permeability directly from μ-CT images.https://doi.org/10.1038/s41597-024-04198-9 |
| spellingShingle | Alyne Duarte Vidal Aurea Pereira Martins Neta Júlio de Castro Vargas Fernandes Lizianne Carvalho Medeiros Carlos Eduardo Menezes dos Anjos Rodrigo Surmas Alexandre Gonçalves Evsukoff Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt Scientific Data |
| title | Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt |
| title_full | Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt |
| title_fullStr | Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt |
| title_full_unstemmed | Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt |
| title_short | Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt |
| title_sort | multi resolution x ray micro computed tomography images of carbonate rocks from brazilian pre salt |
| url | https://doi.org/10.1038/s41597-024-04198-9 |
| work_keys_str_mv | AT alyneduartevidal multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt AT aureapereiramartinsneta multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt AT juliodecastrovargasfernandes multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt AT liziannecarvalhomedeiros multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt AT carloseduardomenezesdosanjos multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt AT rodrigosurmas multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt AT alexandregoncalvesevsukoff multiresolutionxraymicrocomputedtomographyimagesofcarbonaterocksfrombrazilianpresalt |