Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt

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.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04198-9
Citations
2
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.54

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article

Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt

Lizianne Carvalho Medeiros, Aurea Pereira Martins Neta, Alyne Duarte Vidal, Rodrigo Surmas et al.
2 citations
Scientific Data
Hydrocarbon exploration and reservoir analysis
0.54
article

Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt

Lizianne Carvalho Medeiros, Aurea Pereira Martins Neta, Alyne Duarte Vidal, Rodrigo Surmas, Júlio de Castro Vargas Fernandes, Carlos Eduardo Menezes dos Anjos, Alexandre G. Evsukoff
article en
2 citations

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.

Scientific DataVol. 11(1)
Universidade Federal do Rio de Janeiro (BR), Petrobras (Brazil) (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Petrobras
Life below water
Openalex Percentile: Top 38%
Hydrocarbon exploration and reservoir analysis
0.54
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