Evidence map›Paper›PMID 39695223›Full record

ArticleScientific data2024

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

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

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alyne Duarte VidalCOPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil. alyne.vidal@coppe.ufrj.br.
Aurea Pereira Martins NetaCOPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil.
Júlio de Castro Vargas FernandesCOPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil.
Lizianne Carvalho MedeirosCOPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil.
Carlos Eduardo Menezes Dos AnjosCOPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil.
Rodrigo SurmasCENPES - Petrobras, Av. Horácio Macedo, 950, Rio de Janeiro, 21941-915, Rio de Janeiro, Brazil.
Alexandre Gonçalves EvsukoffCOPPE - Federal University of Rio de Janeiro, mailbox 68506, Rio de Janeiro, 21941-972, Rio de Janeiro, Brazil.

Funding

Petrobras PT-200.20.00123
6 · The paper itself

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.

Identifiers

PMID39695223
PMCPMC11655985

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.