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1
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models
Material Type:
Artigo 		Adicionar ao Meu Espaço

Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models

Hugo Tamoto Rafael dos Santos Gioria 1981-; Cleyton de Carvalho Carneiro 1980-

Journal of Petroleum Science and Engineering Amsterdam: Elsevier, 2023 v. 220, 10 p., 2023

Amsterdam 2023

Item não circula. Consulte sua biblioteca.(Acessar)

2
Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations
Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations
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Artigo 		Adicionar ao Meu Espaço

Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations

Hugo Tamoto Rafael dos Santos Gioria 1981-; Cleyton de Carvalho Carneiro 1980-

Geoenergy Science and Engineering Amsterdam v.229, p. 1-8, 2023

Amsterdam 2023

Item não circula. Consulte sua biblioteca.(Acessar)

3
Impacts of diagenetic processes on petrophysical characteristics of the Aptian presalt carbonates of the Santos Basin, Brazil
Impacts of diagenetic processes on petrophysical characteristics of the Aptian presalt carbonates of the Santos Basin, Brazil
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Impacts of diagenetic processes on petrophysical characteristics of the Aptian presalt carbonates of the Santos Basin, Brazil

Hugo Tamoto André Luiz Silva Pestilho 1985-; Anelize M. B Rumbelsperger

AAPG Bulletin v. 108, n. 1, p. 75-105, 2024

American Association of Petroleum Geologists AAPG/Datapages 2024

Item não circula. Consulte sua biblioteca.(Acessar)

4
Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models
Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models
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Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models

Hugo Tamoto Rodrigo Colnago Contreras; Francisco Lledo dos Santos; Monique Simplicio Viana; Rafael dos Santos Gioria 1981-; Cleyton de Carvalho Carneiro 1980-; International Conference on Artificial Intelligence and Soft Computing 2022 Zakopane

Artificial Intelligence and Soft Computing Suiça: Springer Nature, 2023 v. 13588, p. 115–130 Lecture Notes in Computer Science

Suica 2023

Item não circula. Consulte sua biblioteca.(Acessar)

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