Integrative rock physics and computer vision analysis of elastic properties and pore aspect ratios in Brazilian pre-salt carbonates.

Patrick S M Quadros, José J S de Figueiredo, Vitor F H Serra, Pedro Tupã P Aum, Herson O da Rocha, Luciana Castro Brelaz, Cláudio R Dos S Lucas

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Patrick S M Quadros *Graduate Program in Geophysics (CPGf), Petrophysics and Rock Physics Laboratory - Prof. Dr. Om Prakash Verma (LPS), Federal University of Pará (UFPA), 66075-110, Belém, Brazil.

José J S de Figueiredo *Graduate Program in Geophysics (CPGf), Petrophysics and Rock Physics Laboratory - Prof. Dr. Om Prakash Verma (LPS), Federal University of Pará (UFPA), 66075-110, Belém, Brazil. jadsomjose@gmail.com.

Vitor F H SerraGraduate Program in Geophysics (CPGf), Petrophysics and Rock Physics Laboratory - Prof. Dr. Om Prakash Verma (LPS), Federal University of Pará (UFPA), 66075-110, Belém, Brazil.

Pedro Tupã P AumGraduate Program in Geophysics (CPGf), Petrophysics and Rock Physics Laboratory - Prof. Dr. Om Prakash Verma (LPS), Federal University of Pará (UFPA), 66075-110, Belém, Brazil.

Herson O da RochaPolytechnic Institute (IPOLI), Integrated Production Engineering Laboratory (LIEP), Federal University of Rio de Janeiro (UFRJ), 27930-560, Macaé, Brazil.

Luciana Castro BrelazEquinor Energy do Brasil Ltda, Rua do Russel, 804, Glória, CEP 22210-010, Rio de Janiero, Brazil.

Cláudio R Dos S LucasFederal University of Pará (UFPA), Petroleum Science and Engineering Lab (LCPetro), 68721-000, Salinópolis, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately integrating pore geometry analysis into velocity predictions remains a challenge in heterogeneous formations, such as Brazilian Pre-Salt carbonates, where complex pore structures significantly impact petrophysical properties. This study aims to evaluate the petrophysical properties of carbonates from the Santos basin, offshore Brazil. We employed an advanced methodology using machine learning to reconstruct the S-wave velocity (

Indexed as

Image segmentationPetrophysicsRegressionWell-logging data interpretation

Identifiers

PMID41022934

DOI10.1038/s41598-025-11646-y

PMCPMC12479986

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