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Artigo de periodico
Study of calcium carbonate scaling on steel using a high salinity brine simulating a pre-salt produced water (2024)
ANGELO, JULIANA FRANCISCO DE; Ferrari, Jean Vicente
Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: PRÉ-SAL, CORROSÃO, POÇOS
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ABNT
ANGELO, JULIANA FRANCISCO DE e FERRARI, Jean Vicente. Study of calcium carbonate scaling on steel using a high salinity brine simulating a pre-salt produced water. Geoenergy Science and Engineering, p. 212541, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212541. Acesso em: 07 maio 2024.
APA
ANGELO, J. U. L. I. A. N. A. F. R. A. N. C. I. S. C. O. D. E., & Ferrari, J. V. (2024). Study of calcium carbonate scaling on steel using a high salinity brine simulating a pre-salt produced water. Geoenergy Science and Engineering, 212541. doi:10.1016/j.geoen.2023.212541
NLM
ANGELO JULIANAFRANCISCODE, Ferrari JV. Study of calcium carbonate scaling on steel using a high salinity brine simulating a pre-salt produced water [Internet]. Geoenergy Science and Engineering. 2024 ; 212541.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.geoen.2023.212541
Vancouver
ANGELO JULIANAFRANCISCODE, Ferrari JV. Study of calcium carbonate scaling on steel using a high salinity brine simulating a pre-salt produced water [Internet]. Geoenergy Science and Engineering. 2024 ; 212541.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.geoen.2023.212541
Artigo de periodico
Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation (2024)
Silva, A. O. ; Amorim, Y. F.; Ulsen, Carina ; Yoshimura, E. M. ; Trindade, N. M.
Source: Journal of Luminescence. Unidade: EP
Subjects: DOSIMETRIA, RADIAÇÃO IONIZANTE, ALEXANDRITA, TERMOLUMINESCÊNCIA
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ABNT
SILVA, A. O. et al. Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation. Journal of Luminescence, v. 269, p. 7 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jlumin.2024.120493. Acesso em: 07 maio 2024.
APA
Silva, A. O., Amorim, Y. F., Ulsen, C., Yoshimura, E. M., & Trindade, N. M. (2024). Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation. Journal of Luminescence, 269, 7 . doi:10.1016/j.jlumin.2024.120493
NLM
Silva AO, Amorim YF, Ulsen C, Yoshimura EM, Trindade NM. Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation [Internet]. Journal of Luminescence. 2024 ; 269 7 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jlumin.2024.120493
Vancouver
Silva AO, Amorim YF, Ulsen C, Yoshimura EM, Trindade NM. Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation [Internet]. Journal of Luminescence. 2024 ; 269 7 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jlumin.2024.120493
Artigo de periodico
A responsible mining approach to the economic modeling of small-scale gold mining (2024)
Nico, Oswaldo Menta Simonsen ; Araújo, Carlos Henrique Xavier ; Goldemberg, Deborah; De Tomi, Giorgio Francesco Cesare
Source: World Development Perspectives. Unidade: EP
Subjects: MINERAÇÃO, GARIMPAGEM
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ABNT
NICO, Oswaldo Menta Simonsen et al. A responsible mining approach to the economic modeling of small-scale gold mining. World Development Perspectives, v. 33, p. 1-12, 2024Tradução . . Acesso em: 07 maio 2024.
APA
Nico, O. M. S., Araújo, C. H. X., Goldemberg, D., & De Tomi, G. F. C. (2024). A responsible mining approach to the economic modeling of small-scale gold mining. World Development Perspectives, 33, 1-12. doi:10.1016/j.wdp.2023.100561
NLM
Nico OMS, Araújo CHX, Goldemberg D, De Tomi GFC. A responsible mining approach to the economic modeling of small-scale gold mining. World Development Perspectives. 2024 ; 33 1-12.[citado 2024 maio 07 ]
Vancouver
Nico OMS, Araújo CHX, Goldemberg D, De Tomi GFC. A responsible mining approach to the economic modeling of small-scale gold mining. World Development Perspectives. 2024 ; 33 1-12.[citado 2024 maio 07 ]
Artigo de periodico
Influence of smectite clays' pores volume on isoniazid adsorption and release (2024)
Arjona, Jéssica de Carvalho ; Ulsen, Carina ; Valenzuela Díaz, Francisco Rolando ; Demarquette, Nicole Raymonde
Source: Applied Clay Science. Unidade: EP
Subjects: ARGILAS, ADSORÇÃO, ANODIZAÇÃO, TERMOGRAVIMETRIA
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ABNT
ARJONA, Jéssica de Carvalho et al. Influence of smectite clays' pores volume on isoniazid adsorption and release. Applied Clay Science, v. 252, p. 10 art. 107341, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.clay.2024.107341. Acesso em: 07 maio 2024.
APA
Arjona, J. de C., Ulsen, C., Valenzuela Díaz, F. R., & Demarquette, N. R. (2024). Influence of smectite clays' pores volume on isoniazid adsorption and release. Applied Clay Science, 252, 10 art. 107341. doi:10.1016/j.clay.2024.107341
NLM
Arjona J de C, Ulsen C, Valenzuela Díaz FR, Demarquette NR. Influence of smectite clays' pores volume on isoniazid adsorption and release [Internet]. Applied Clay Science. 2024 ; 252 10 art. 107341.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.clay.2024.107341
Vancouver
Arjona J de C, Ulsen C, Valenzuela Díaz FR, Demarquette NR. Influence of smectite clays' pores volume on isoniazid adsorption and release [Internet]. Applied Clay Science. 2024 ; 252 10 art. 107341.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.clay.2024.107341
Artigo de periodico
Characterization of binder, mastic, and FAM film thickness within asphalt concrete mixtures (2024)
Souza, Thiago Delgado de; Enrique-Leon, Alexis Jair; Mesquita, Andressa Rosa; Gomes, Otavio da Fonseca Martins ; Ulsen, Carina ; Underwood, Benjamin Shane; Aragão, Francisco Thiago Sacramento
Source: Construction and Building Materials. Unidade: EP
Subjects: MICROSCOPIA ELETRÔNICA DE VARREDURA, PROCESSAMENTO DIGITAL DE IMAGENS, MISTURA DO CONCRETO
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ABNT
SOUZA, Thiago Delgado de et al. Characterization of binder, mastic, and FAM film thickness within asphalt concrete mixtures. Construction and Building Materials, v. 421, p. 12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.conbuildmat.2024.135595. Acesso em: 07 maio 2024.
APA
Souza, T. D. de, Enrique-Leon, A. J., Mesquita, A. R., Gomes, O. da F. M., Ulsen, C., Underwood, B. S., & Aragão, F. T. S. (2024). Characterization of binder, mastic, and FAM film thickness within asphalt concrete mixtures. Construction and Building Materials, 421, 12. doi:10.1016/j.conbuildmat.2024.135595
NLM
Souza TD de, Enrique-Leon AJ, Mesquita AR, Gomes O da FM, Ulsen C, Underwood BS, Aragão FTS. Characterization of binder, mastic, and FAM film thickness within asphalt concrete mixtures [Internet]. Construction and Building Materials. 2024 ; 421 12.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.conbuildmat.2024.135595
Vancouver
Souza TD de, Enrique-Leon AJ, Mesquita AR, Gomes O da FM, Ulsen C, Underwood BS, Aragão FTS. Characterization of binder, mastic, and FAM film thickness within asphalt concrete mixtures [Internet]. Construction and Building Materials. 2024 ; 421 12.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.conbuildmat.2024.135595
Artigo de periodico
Predicting gold accessibility from mineralogical characterization using machine learning algorithms (2024)
Costa, Fabrizzio Rodrigues ; Carneiro, Cleyton de Carvalho ; Ulsen, Carina
Source: Journal of Materials Research and Technology. Unidade: EP
Subjects: ANÁLISE DE DADOS, MINERALOGIA APLICADA, MINÉRIOS, OURO
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ABNT
COSTA, Fabrizzio Rodrigues e CARNEIRO, Cleyton de Carvalho e ULSEN, Carina. Predicting gold accessibility from mineralogical characterization using machine learning algorithms. Journal of Materials Research and Technology, v. 29, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2024.01.139. Acesso em: 07 maio 2024.
APA
Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2024). Predicting gold accessibility from mineralogical characterization using machine learning algorithms. Journal of Materials Research and Technology, 29, 10 . doi:10.1016/j.jmrt.2024.01.139
NLM
Costa FR, Carneiro C de C, Ulsen C. Predicting gold accessibility from mineralogical characterization using machine learning algorithms [Internet]. Journal of Materials Research and Technology. 2024 ;29 10 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
Vancouver
Costa FR, Carneiro C de C, Ulsen C. Predicting gold accessibility from mineralogical characterization using machine learning algorithms [Internet]. Journal of Materials Research and Technology. 2024 ;29 10 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
Artigo de periodico
On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems (2024)
Azevedo, Anderson Soares da Costa; Ranjbarzadeh, Shahin ; Gioria, Rafael dos Santos ; Silva, Emílio Carlos Nelli ; Sanches, Renato Picelli
Source: Applied Mathematical Modeling. Unidade: EP
Subjects: TOPOLOGIA, INTERAÇÃO FLUIDO-ESTRUTURA, INTERPOLAÇÃO
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ABNT
AZEVEDO, Anderson Soares da Costa et al. On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems. Applied Mathematical Modeling, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.apm.2023.11.024. Acesso em: 07 maio 2024.
APA
Azevedo, A. S. da C., Ranjbarzadeh, S., Gioria, R. dos S., Silva, E. C. N., & Sanches, R. P. (2024). On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems. Applied Mathematical Modeling, 127, 1-17. doi:10.1016/j.apm.2023.11.024
NLM
Azevedo AS da C, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Sanches RP. On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems [Internet]. Applied Mathematical Modeling. 2024 ; 127 1-17.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.apm.2023.11.024
Vancouver
Azevedo AS da C, Ranjbarzadeh S, Gioria R dos S, Silva ECN, Sanches RP. On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems [Internet]. Applied Mathematical Modeling. 2024 ; 127 1-17.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.apm.2023.11.024
Artigo de periodico
Public databases of tailings storage facilities fall short of full risk disclosure (2024)
Massignan, Rafaela Shinobe; Sánchez, Luis Enrique
Source: The extractive Industries and Society. Unidade: EP
Subjects: BARRAGENS, DESASTRES AMBIENTAIS
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ABNT
MASSIGNAN, Rafaela Shinobe e SÁNCHEZ, Luis Enrique. Public databases of tailings storage facilities fall short of full risk disclosure. The extractive Industries and Society, v. 17, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.exis.2024.101420. Acesso em: 07 maio 2024.
APA
Massignan, R. S., & Sánchez, L. E. (2024). Public databases of tailings storage facilities fall short of full risk disclosure. The extractive Industries and Society, 17, 10 . doi:10.1016/j.exis.2024.101420
NLM
Massignan RS, Sánchez LE. Public databases of tailings storage facilities fall short of full risk disclosure [Internet]. The extractive Industries and Society. 2024 ; 17 10 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.exis.2024.101420
Vancouver
Massignan RS, Sánchez LE. Public databases of tailings storage facilities fall short of full risk disclosure [Internet]. The extractive Industries and Society. 2024 ; 17 10 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.exis.2024.101420
Artigo de periodico
Spectral recomposition for optimizing starting points in Full-Waveform Inversion (2023)
Zuniga, Nelson Ricardo Coelho Flores ; Gioria, Rafael dos Santos ; Carmo, Bruno Souza
Source: Journal of applied geophysics. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, ANÁLISE DE ONDALETAS
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ABNT
ZUNIGA, Nelson Ricardo Coelho Flores e GIORIA, Rafael dos Santos e CARMO, Bruno Souza. Spectral recomposition for optimizing starting points in Full-Waveform Inversion. Journal of applied geophysics, v. 215, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jappgeo.2023.105120. Acesso em: 07 maio 2024.
APA
Zuniga, N. R. C. F., Gioria, R. dos S., & Carmo, B. S. (2023). Spectral recomposition for optimizing starting points in Full-Waveform Inversion. Journal of applied geophysics, 215. doi:10.1016/j.jappgeo.2023.105120
NLM
Zuniga NRCF, Gioria R dos S, Carmo BS. Spectral recomposition for optimizing starting points in Full-Waveform Inversion [Internet]. Journal of applied geophysics. 2023 ;215[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.105120
Vancouver
Zuniga NRCF, Gioria R dos S, Carmo BS. Spectral recomposition for optimizing starting points in Full-Waveform Inversion [Internet]. Journal of applied geophysics. 2023 ;215[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.105120
Artigo de periodico
Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations (2023)
Tamoto, Hugo; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: CARBONATOS, RESERVATÓRIOS, WIRELESS
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ABNT
TAMOTO, Hugo e GIORIA, Rafael dos Santos e CARNEIRO, Cleyton de Carvalho. Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations. Geoenergy Science and Engineering, v. 229, p. 1-8, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212138. Acesso em: 07 maio 2024.
APA
Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2023). Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations. Geoenergy Science and Engineering, 229, 1-8. doi:10.1016/j.geoen.2023.212138
NLM
Tamoto H, Gioria R dos S, Carneiro C de C. Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations [Internet]. Geoenergy Science and Engineering. 2023 ;229 1-8.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.geoen.2023.212138
Vancouver
Tamoto H, Gioria R dos S, Carneiro C de C. Enhancing wireline formation testing with explainable machine learning: Predicting effective and non-effective stations [Internet]. Geoenergy Science and Engineering. 2023 ;229 1-8.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.geoen.2023.212138
Artigo de periodico
Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension (2023)
Gioria, Rafael dos Santos ; Silveira, Bruno Marco de Oliveira; Skinner, Rodrigo; Ulsen, Carina ; Carneiro, Cleyton de Carvalho ; Ferrari, Jean Vicente
Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: CARACTERIZAÇÃO TECNOLÓGICA DE ROCHAS, RESERVATÓRIOS DE PETRÓLEO, TENSÃO INTERFACIAL
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ABNT
GIORIA, Rafael dos Santos et al. Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension. Geoenergy Science and Engineering, v. 231, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212444. Acesso em: 07 maio 2024.
APA
Gioria, R. dos S., Silveira, B. M. de O., Skinner, R., Ulsen, C., Carneiro, C. de C., & Ferrari, J. V. (2023). Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension. Geoenergy Science and Engineering, 231. doi:10.1016/j.geoen.2023.212444
NLM
Gioria R dos S, Silveira BM de O, Skinner R, Ulsen C, Carneiro C de C, Ferrari JV. Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension [Internet]. Geoenergy Science and Engineering. 2023 ;231[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.geoen.2023.212444
Vancouver
Gioria R dos S, Silveira BM de O, Skinner R, Ulsen C, Carneiro C de C, Ferrari JV. Model selection for dynamic interfacial tension of dead crude oil/brine to estimate pressure and temperature effects on the equilibrium tension [Internet]. Geoenergy Science and Engineering. 2023 ;231[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.geoen.2023.212444
Artigo de periodico
Influence of base material particle features on petrophysical properties of synthetic carbonate plugs (2023)
Arismendi Florez, Jhonatan Jair; Michelon, Mateus Fontana; Ulsen, Carina ; Ferrari, Jean Vicente
Source: Heliyon. Unidade: EP
Subjects: PROPRIEDADES FÍSICAS DAS ROCHAS, ROCHAS SEDIMENTARES
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ABNT
ARISMENDI FLOREZ, Jhonatan Jair et al. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs. Heliyon, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.heliyon.2023.e18219. Acesso em: 07 maio 2024.
APA
Arismendi Florez, J. J., Michelon, M. F., Ulsen, C., & Ferrari, J. V. (2023). Influence of base material particle features on petrophysical properties of synthetic carbonate plugs. Heliyon. doi:10.1016/j.heliyon.2023.e18219
NLM
Arismendi Florez JJ, Michelon MF, Ulsen C, Ferrari JV. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs [Internet]. Heliyon. 2023 ;[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.heliyon.2023.e18219
Vancouver
Arismendi Florez JJ, Michelon MF, Ulsen C, Ferrari JV. Influence of base material particle features on petrophysical properties of synthetic carbonate plugs [Internet]. Heliyon. 2023 ;[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.heliyon.2023.e18219
Artigo de periodico
Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models (2023)
Tamoto, Hugo; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL
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ABNT
TAMOTO, Hugo e GIORIA, Rafael dos Santos e CARNEIRO, Cleyton de Carvalho. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, v. 220, p. 10 , 2023Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111169. Acesso em: 07 maio 2024.
APA
Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2023). Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models. Journal of Petroleum Science and Engineering, 220, 10 . doi:10.1016/j.petrol.2022.111169
NLM
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2023 ; 220 10 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Vancouver
Tamoto H, Gioria R dos S, Carneiro C de C. Prediction of nuclear magnetic resonance porosity well-logs in a carbonate reservoir using supervised machine learning models [Internet]. Journal of Petroleum Science and Engineering. 2023 ; 220 10 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
Artigo de periodico
IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling (2023)
Gouvêa, Rodrigo César Teixeira de; Gioria, Rafael dos Santos ; Marques, Gustavo Rodovalho; Carneiro, Cleyton de Carvalho
Source: Software Impacts. Unidade: EP
Subjects: PYTHON, VISUALIZAÇÃO
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ABNT
GOUVÊA, Rodrigo César Teixeira de et al. IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling. Software Impacts, v. 17, p. 6 , 2023Tradução . . Disponível em: https://doi.org/10.1016/j.simpa.2023.100570. Acesso em: 07 maio 2024.
APA
Gouvêa, R. C. T. de, Gioria, R. dos S., Marques, G. R., & Carneiro, C. de C. (2023). IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling. Software Impacts, 17, 6 . doi:10.1016/j.simpa.2023.100570
NLM
Gouvêa RCT de, Gioria R dos S, Marques GR, Carneiro C de C. IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling [Internet]. Software Impacts. 2023 ; 17 6 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.simpa.2023.100570
Vancouver
Gouvêa RCT de, Gioria R dos S, Marques GR, Carneiro C de C. IntraSOM: A comprehensive Python library for Self-Organizing Maps with hexagonal toroidal maps training and missing data handling [Internet]. Software Impacts. 2023 ; 17 6 .[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.simpa.2023.100570
Artigo de periodico
Chemical-mineralogical characterization of critical elements into ferromanganese crusts (2023)
Matos, Caroline Silva de ; Benites, Mariana ; Jovane, Luigi ; Ulsen, Carina
Source: Journal of Materials Research and Technology-JMR&T. Unidades: IO, EP
Subjects: CARACTERIZAÇÃO TECNOLÓGICA DE MINÉRIOS, MANGANÊS
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ABNT
MATOS, Caroline Silva de et al. Chemical-mineralogical characterization of critical elements into ferromanganese crusts. Journal of Materials Research and Technology-JMR&T, v. 25, p. 5633-5649, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2023.07.021. Acesso em: 07 maio 2024.
APA
Matos, C. S. de, Benites, M., Jovane, L., & Ulsen, C. (2023). Chemical-mineralogical characterization of critical elements into ferromanganese crusts. Journal of Materials Research and Technology-JMR&T, 25, 5633-5649. doi:10.1016/j.jmrt.2023.07.021
NLM
Matos CS de, Benites M, Jovane L, Ulsen C. Chemical-mineralogical characterization of critical elements into ferromanganese crusts [Internet]. Journal of Materials Research and Technology-JMR&T. 2023 ;25 5633-5649.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jmrt.2023.07.021
Vancouver
Matos CS de, Benites M, Jovane L, Ulsen C. Chemical-mineralogical characterization of critical elements into ferromanganese crusts [Internet]. Journal of Materials Research and Technology-JMR&T. 2023 ;25 5633-5649.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.jmrt.2023.07.021
Artigo de periodico
Coexistence of artisanal gold mining with companies in Latin America (2022)
Veiga, Marcello Mariz da; Tarra A, Jorge Armando; Restrepo-Baena, Oscar J; De Tomi, Giorgio Francesco Cesare
Source: The Extractive Industries and Society. Unidade: EP
Assunto: OURO
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ABNT
VEIGA, Marcello Mariz da et al. Coexistence of artisanal gold mining with companies in Latin America. The Extractive Industries and Society, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.exis.2022.101177. Acesso em: 07 maio 2024.
APA
Veiga, M. M. da, Tarra A, J. A., Restrepo-Baena, O. J., & De Tomi, G. F. C. (2022). Coexistence of artisanal gold mining with companies in Latin America. The Extractive Industries and Society. doi:10.1016/j.exis.2022.101177
NLM
Veiga MM da, Tarra A JA, Restrepo-Baena OJ, De Tomi GFC. Coexistence of artisanal gold mining with companies in Latin America [Internet]. The Extractive Industries and Society. 2022 ;[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.exis.2022.101177
Vancouver
Veiga MM da, Tarra A JA, Restrepo-Baena OJ, De Tomi GFC. Coexistence of artisanal gold mining with companies in Latin America [Internet]. The Extractive Industries and Society. 2022 ;[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.exis.2022.101177
Artigo de periodico
Quantification of the cement paste and phase’s association in fine recycled aggregates by SEM-based image analysis (2022)
Ulsen, Carina ; Contessotto, Renato; Macedo, Rafael dos Santos; Kahn, Henrique
Source: Construction and Building Materials. Unidade: EP
Subjects: RESÍDUOS DE CONSTRUÇÃO, AREIA (MATERIAIS DE CONSTRUÇÃO), DIFRAÇÃO POR RAIOS X
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ULSEN, Carina et al. Quantification of the cement paste and phase’s association in fine recycled aggregates by SEM-based image analysis. Construction and Building Materials, v. 320, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.conbuildmat.2021.126206. Acesso em: 07 maio 2024.
APA
Ulsen, C., Contessotto, R., Macedo, R. dos S., & Kahn, H. (2022). Quantification of the cement paste and phase’s association in fine recycled aggregates by SEM-based image analysis. Construction and Building Materials, 320, 1-15. doi:10.1016/j.conbuildmat.2021.126206
NLM
Ulsen C, Contessotto R, Macedo R dos S, Kahn H. Quantification of the cement paste and phase’s association in fine recycled aggregates by SEM-based image analysis [Internet]. Construction and Building Materials. 2022 ; 320 1-15.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.conbuildmat.2021.126206
Vancouver
Ulsen C, Contessotto R, Macedo R dos S, Kahn H. Quantification of the cement paste and phase’s association in fine recycled aggregates by SEM-based image analysis [Internet]. Construction and Building Materials. 2022 ; 320 1-15.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.conbuildmat.2021.126206
Artigo de periodico
Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces (2022)
Silveira, Bruno Marco de Oliveira; Ulsen, Carina ; Carneiro, Cleyton de Carvalho ; Ferrari, Jean Vicente ; Gioria, Rafael dos Santos ; Arismendi Florez, Jhonatan Jair; Fagundes, Thais Bortotti; Silva, Mayara Antunes da Trindade; Skinner, Rodrigo
Source: Fuel The Science and Technology of Fuel and Energy. Unidade: EP
Subjects: PRÉ-SAL, MINERAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, Bruno Marco de Oliveira et al. Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces. Fuel The Science and Technology of Fuel and Energy, v. 310, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.fuel.2021.122414. Acesso em: 07 maio 2024.
APA
Silveira, B. M. de O., Ulsen, C., Carneiro, C. de C., Ferrari, J. V., Gioria, R. dos S., Arismendi Florez, J. J., et al. (2022). Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces. Fuel The Science and Technology of Fuel and Energy, 310. doi:10.1016/j.fuel.2021.122414
NLM
Silveira BM de O, Ulsen C, Carneiro C de C, Ferrari JV, Gioria R dos S, Arismendi Florez JJ, Fagundes TB, Silva MA da T, Skinner R. Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces [Internet]. Fuel The Science and Technology of Fuel and Energy. 2022 ; 310[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
Vancouver
Silveira BM de O, Ulsen C, Carneiro C de C, Ferrari JV, Gioria R dos S, Arismendi Florez JJ, Fagundes TB, Silva MA da T, Skinner R. Influence of oil aging time, pressure and temperature on contact angle measurements of reservoir mineral surfaces [Internet]. Fuel The Science and Technology of Fuel and Energy. 2022 ; 310[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.fuel.2021.122414
Artigo de periodico
The influence of wellhead stick-up on the analysis of critical stress points on conductor casing (2022)
Auad, Isabella Tomasella; Yamamoto, Márcio ; Carrion, Ronaldo
Source: The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. Unidade: EP
Subjects: MÉTODO DOS ELEMENTOS FINITOS, PERFURAÇÃO MARÍTIMA, PERFURAÇÃO DE POÇOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AUAD, Isabella Tomasella e YAMAMOTO, Márcio e CARRION, Ronaldo. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing, v. 212, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.110140. Acesso em: 07 maio 2024.
APA
Auad, I. T., Yamamoto, M., & Carrion, R. (2022). The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing, 212. doi:10.1016/j.petrol.2022.110140
NLM
Auad IT, Yamamoto M, Carrion R. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing [Internet]. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. 2022 ; 212[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.petrol.2022.110140
Vancouver
Auad IT, Yamamoto M, Carrion R. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing [Internet]. The influence of wellhead stick-up on the analysis of critical stress points on conductor casing. 2022 ; 212[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.petrol.2022.110140
Artigo de periodico
Data-driven technique estimates skin factor and average pressure during oil-flowing periods (2022)
Kubota, Leonardo Kenji; Gioria, Rafael dos Santos
Source: Journal of Petroleum Science and Engineering. Unidade: EP
Assunto: ÓLEO E GAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KUBOTA, Leonardo Kenji e GIORIA, Rafael dos Santos. Data-driven technique estimates skin factor and average pressure during oil-flowing periods. Journal of Petroleum Science and Engineering, v. 219, p. 17, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111061. Acesso em: 07 maio 2024.
APA
Kubota, L. K., & Gioria, R. dos S. (2022). Data-driven technique estimates skin factor and average pressure during oil-flowing periods. Journal of Petroleum Science and Engineering, 219, 17. doi:10.1016/j.petrol.2022.111061
NLM
Kubota LK, Gioria R dos S. Data-driven technique estimates skin factor and average pressure during oil-flowing periods [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 219 17.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.petrol.2022.111061
Vancouver
Kubota LK, Gioria R dos S. Data-driven technique estimates skin factor and average pressure during oil-flowing periods [Internet]. Journal of Petroleum Science and Engineering. 2022 ; 219 17.[citado 2024 maio 07 ] Available from: https://doi.org/10.1016/j.petrol.2022.111061

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