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  • Conference titles: International Petroleum Technology Conference. Unidade: EP

    Subjects: RESERVATÓRIOS, METODOLOGIA E TÉCNICAS DE PROGRAMAÇÃO, PETROGRAFIA

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      ARISMENDI FLOREZ, Jhonatan Jair e ULSEN, Carina e FERRARI, Jean Vicente. Methodology for Constructing Synthetic Carbonate Rocks with Controlled Properties: Overcoming Challenges to Mimic Heterogeneous Carbonate Reservoir Rocks. 2024, Anais.. Dhahran, Arabia Saudita: Escola Politécnica, Universidade de São Paulo, 2024. Disponível em: https://repositorio.usp.br/directbitstream/895db3cb-fe2c-4473-afa7-a268dcc5ab53/Ulsen-2024-Methodology_for_Constructing_Synthetic_Carbonate_Rocks_with_Controlled_Properties.pdf. Acesso em: 06 nov. 2024.
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      Arismendi Florez, J. J., Ulsen, C., & Ferrari, J. V. (2024). Methodology for Constructing Synthetic Carbonate Rocks with Controlled Properties: Overcoming Challenges to Mimic Heterogeneous Carbonate Reservoir Rocks. In . Dhahran, Arabia Saudita: Escola Politécnica, Universidade de São Paulo. doi:10.2523/IPTC-24293-EA
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      Arismendi Florez JJ, Ulsen C, Ferrari JV. Methodology for Constructing Synthetic Carbonate Rocks with Controlled Properties: Overcoming Challenges to Mimic Heterogeneous Carbonate Reservoir Rocks. [Internet]. 2024 ;[citado 2024 nov. 06 ] Available from: https://repositorio.usp.br/directbitstream/895db3cb-fe2c-4473-afa7-a268dcc5ab53/Ulsen-2024-Methodology_for_Constructing_Synthetic_Carbonate_Rocks_with_Controlled_Properties.pdf
    • Vancouver

      Arismendi Florez JJ, Ulsen C, Ferrari JV. Methodology for Constructing Synthetic Carbonate Rocks with Controlled Properties: Overcoming Challenges to Mimic Heterogeneous Carbonate Reservoir Rocks. [Internet]. 2024 ;[citado 2024 nov. 06 ] Available from: https://repositorio.usp.br/directbitstream/895db3cb-fe2c-4473-afa7-a268dcc5ab53/Ulsen-2024-Methodology_for_Constructing_Synthetic_Carbonate_Rocks_with_Controlled_Properties.pdf
  • Source: Minerals. Unidade: EP

    Subjects: FOSFATOS, MINÉRIOS, SIMULAÇÃO

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      SILVEIRA JUNIOR, Adalto e DELBONI JÚNIOR, Homero e BERGERMAN, Maurício Guimarães. Modeling and Simulation of Hydroxyapatite Recovery in the Desliming Circuit of the Tapira Industrial Plant, Brazil. Minerals, v. 14, p. 16 , 2024Tradução . . Disponível em: https://doi.org/10.3390/min14030272. Acesso em: 06 nov. 2024.
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      Silveira Junior, A., Delboni Júnior, H., & Bergerman, M. G. (2024). Modeling and Simulation of Hydroxyapatite Recovery in the Desliming Circuit of the Tapira Industrial Plant, Brazil. Minerals, 14, 16 . doi:10.3390/min14030272
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      Silveira Junior A, Delboni Júnior H, Bergerman MG. Modeling and Simulation of Hydroxyapatite Recovery in the Desliming Circuit of the Tapira Industrial Plant, Brazil [Internet]. Minerals. 2024 ;14 16 .[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/min14030272
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      Silveira Junior A, Delboni Júnior H, Bergerman MG. Modeling and Simulation of Hydroxyapatite Recovery in the Desliming Circuit of the Tapira Industrial Plant, Brazil [Internet]. Minerals. 2024 ;14 16 .[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/min14030272
  • Source: Minerals Engineering. Unidade: EP

    Subjects: GRAVIDADE, MINÉRIOS

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      RODRIGUES, Armando Fernandes da Veiga et al. Gravity separation of fine itabirite iron ore using the Reflux Classifier – Part II – Establishing the underpinning partition surface. Minerals Engineering, v. 210, p. 1-9, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.mineng.2024.108641. Acesso em: 06 nov. 2024.
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      Rodrigues, A. F. da V., Delboni Júnior, H., Zhou, J., & Galvin, K. P. (2024). Gravity separation of fine itabirite iron ore using the Reflux Classifier – Part II – Establishing the underpinning partition surface. Minerals Engineering, 210, 1-9. doi:10.1016/j.mineng.2024.108641
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      Rodrigues AF da V, Delboni Júnior H, Zhou J, Galvin KP. Gravity separation of fine itabirite iron ore using the Reflux Classifier – Part II – Establishing the underpinning partition surface [Internet]. Minerals Engineering. 2024 ;210 1-9.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.mineng.2024.108641
    • Vancouver

      Rodrigues AF da V, Delboni Júnior H, Zhou J, Galvin KP. Gravity separation of fine itabirite iron ore using the Reflux Classifier – Part II – Establishing the underpinning partition surface [Internet]. Minerals Engineering. 2024 ;210 1-9.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.mineng.2024.108641
  • Source: Geoenergy Science and Engineering. Unidade: EP

    Subjects: PETRÓLEO, RESERVATÓRIOS DE PETRÓLEO, APRENDIZADO COMPUTACIONAL

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      CUSTÓDIO, Luiz Felipe Niedermaier e CARNEIRO, Cleyton de Carvalho. Global enhanced oil recovery assessment: A comprehensive data-driven analysis using self-organizing maps. Geoenergy Science and Engineering, v. 237, p. 212771, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2024.21277. Acesso em: 06 nov. 2024.
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      Custódio, L. F. N., & Carneiro, C. de C. (2024). Global enhanced oil recovery assessment: A comprehensive data-driven analysis using self-organizing maps. Geoenergy Science and Engineering, 237, 212771. doi:10.1016/j.geoen.2024.212771
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      Custódio LFN, Carneiro C de C. Global enhanced oil recovery assessment: A comprehensive data-driven analysis using self-organizing maps [Internet]. Geoenergy Science and Engineering. 2024 ; 237 212771.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.geoen.2024.21277
    • Vancouver

      Custódio LFN, Carneiro C de C. Global enhanced oil recovery assessment: A comprehensive data-driven analysis using self-organizing maps [Internet]. Geoenergy Science and Engineering. 2024 ; 237 212771.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.geoen.2024.21277
  • Conference titles: SPWLA Annual Logging Symposium. Unidade: EP

    Subjects: BANCO DE DADOS, PROPRIEDADES FÍSICAS DAS ROCHAS, PETROGRAFIA

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      GOUVÊA, Rodrigo César Teixeira de e CARNEIRO, Cleyton de Carvalho. A case study on building a structured logging database from Brazilian terristrial basins for enhanced data science apllications. 2024, Anais.. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo, 2024. Disponível em: https://doi.org/10.30632/SPWLA-2024-0100. Acesso em: 06 nov. 2024.
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      Gouvêa, R. C. T. de, & Carneiro, C. de C. (2024). A case study on building a structured logging database from Brazilian terristrial basins for enhanced data science apllications. In . Rio de Janeiro: Escola Politécnica, Universidade de São Paulo. doi:10.30632/SPWLA-2024-0100
    • NLM

      Gouvêa RCT de, Carneiro C de C. A case study on building a structured logging database from Brazilian terristrial basins for enhanced data science apllications [Internet]. 2024 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.30632/SPWLA-2024-0100
    • Vancouver

      Gouvêa RCT de, Carneiro C de C. A case study on building a structured logging database from Brazilian terristrial basins for enhanced data science apllications [Internet]. 2024 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.30632/SPWLA-2024-0100
  • Source: Mining Metallurgy & Exploration. Unidade: EP

    Subjects: TRABALHO EM TURNOS, MINERAÇÃO SUBTERRÂNEA

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      MORAES, Giovanni Rubinich e ULLAH, Irfan e DE TOMI, Giorgio Francesco Cesare. Determining an Optimal Shiftwork Duration by Comparative Analysis of Active and Inactive Hours in Underground Mining: a Case Study. Mining Metallurgy & Exploration, v. 41, p. 1337-1349, 2024Tradução . . Disponível em: https://doi.org/10.1007/s42461-024-01003-4. Acesso em: 06 nov. 2024.
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      Moraes, G. R., Ullah, I., & De Tomi, G. F. C. (2024). Determining an Optimal Shiftwork Duration by Comparative Analysis of Active and Inactive Hours in Underground Mining: a Case Study. Mining Metallurgy & Exploration, 41, 1337-1349. doi:10.1007/s42461-024-01003-4
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      Moraes GR, Ullah I, De Tomi GFC. Determining an Optimal Shiftwork Duration by Comparative Analysis of Active and Inactive Hours in Underground Mining: a Case Study [Internet]. Mining Metallurgy & Exploration. 2024 ; 41 1337-1349.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s42461-024-01003-4
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      Moraes GR, Ullah I, De Tomi GFC. Determining an Optimal Shiftwork Duration by Comparative Analysis of Active and Inactive Hours in Underground Mining: a Case Study [Internet]. Mining Metallurgy & Exploration. 2024 ; 41 1337-1349.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s42461-024-01003-4
  • Source: Geoenergy Science and Engineering. Unidade: EP

    Subjects: PRÉ-SAL, CORROSÃO, POÇOS

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      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: 06 nov. 2024.
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      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
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      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 nov. 06 ] 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 nov. 06 ] Available from: https://doi.org/10.1016/j.geoen.2023.212541
  • Source: World Development Perspectives. Unidade: EP

    Subjects: MINERAÇÃO, GARIMPAGEM

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      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 . . Disponível em: https://doi.org/10.1016/j.wdp.2023.100561. Acesso em: 06 nov. 2024.
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      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
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      Nico OMS, Araújo CHX, Goldemberg D, De Tomi GFC. A responsible mining approach to the economic modeling of small-scale gold mining [Internet]. World Development Perspectives. 2024 ; 33 1-12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.wdp.2023.100561
    • Vancouver

      Nico OMS, Araújo CHX, Goldemberg D, De Tomi GFC. A responsible mining approach to the economic modeling of small-scale gold mining [Internet]. World Development Perspectives. 2024 ; 33 1-12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.wdp.2023.100561
  • Source: Minerals. Unidade: EP

    Subjects: HETEROGENEIDADE, AMOSTRAGEM, HETEROGENEIDADE

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      PRADO, Gabriela Cardoso e CHIEREGATI, Ana Carolina e DOMINY, Simon C. An Automated Approach to the Heterogeneity Test for Sampling Protocol Optimization. Minerals, v. 14, n. 4, 2024Tradução . . Disponível em: https://doi.org/10.3390/min14040434. Acesso em: 06 nov. 2024.
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      Prado, G. C., Chieregati, A. C., & Dominy, S. C. (2024). An Automated Approach to the Heterogeneity Test for Sampling Protocol Optimization. Minerals, 14( 4). doi:10.3390/min13050680
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      Prado GC, Chieregati AC, Dominy SC. An Automated Approach to the Heterogeneity Test for Sampling Protocol Optimization [Internet]. Minerals. 2024 ;14( 4):[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/min14040434
    • Vancouver

      Prado GC, Chieregati AC, Dominy SC. An Automated Approach to the Heterogeneity Test for Sampling Protocol Optimization [Internet]. Minerals. 2024 ;14( 4):[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/min14040434
  • Source: Petroleum Research. Unidade: EP

    Subjects: PROPRIEDADES FÍSICAS DAS ROCHAS, IMPRESSÃO 3-D

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      ARISMENDI FLOREZ, Jhonatan Jair e ULSEN, Carina e FERRARI, Jean Vicente. Investigation of petrophysical properties of synthetic carbonate plugs: Adding a novel 3D printing approach to control pore networks. Petroleum Research, p. 24 in press, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ptlrs.2024.06.006. Acesso em: 06 nov. 2024.
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      Arismendi Florez, J. J., Ulsen, C., & Ferrari, J. V. (2024). Investigation of petrophysical properties of synthetic carbonate plugs: Adding a novel 3D printing approach to control pore networks. Petroleum Research, 24 in press. doi:10.1016/j.ptlrs.2024.06.006
    • NLM

      Arismendi Florez JJ, Ulsen C, Ferrari JV. Investigation of petrophysical properties of synthetic carbonate plugs: Adding a novel 3D printing approach to control pore networks [Internet]. Petroleum Research. 2024 ;24 in press.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.ptlrs.2024.06.006
    • Vancouver

      Arismendi Florez JJ, Ulsen C, Ferrari JV. Investigation of petrophysical properties of synthetic carbonate plugs: Adding a novel 3D printing approach to control pore networks [Internet]. Petroleum Research. 2024 ;24 in press.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.ptlrs.2024.06.006
  • Source: Journal of Luminescence. Unidades: EP, IF

    Subjects: DOSIMETRIA, RADIAÇÃO IONIZANTE, ALEXANDRITA, TERMOLUMINESCÊNCIA

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      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: 06 nov. 2024.
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      Silva, A. O., Amorim, Y. F., Nunes, M. C. dos S., 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
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      Silva AO, Amorim YF, Nunes MC dos S, 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 nov. 06 ] Available from: https://doi.org/10.1016/j.jlumin.2024.120493
    • Vancouver

      Silva AO, Amorim YF, Nunes MC dos S, 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 nov. 06 ] Available from: https://doi.org/10.1016/j.jlumin.2024.120493
  • Source: KONA Powder and Particle Journal. Unidade: EP

    Subjects: ENTROPIA, REOLOGIA

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      LOUZADA, Jean Carlo Grijó et al. Rheological Characterization of Mineral Slurries Based on the Principle of Maximum Entropy. KONA Powder and Particle Journal, p. 10 , 2024Tradução . . Disponível em: https://doi.org/10.14356/kona.2025009. Acesso em: 06 nov. 2024.
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      Louzada, J. C. G., Andrade, E. C., Pinto, T. C. de S., & Leal Filho, L. de S. (2024). Rheological Characterization of Mineral Slurries Based on the Principle of Maximum Entropy. KONA Powder and Particle Journal, 10 . doi:10.14356/kona.2025009
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      Louzada JCG, Andrade EC, Pinto TC de S, Leal Filho L de S. Rheological Characterization of Mineral Slurries Based on the Principle of Maximum Entropy [Internet]. KONA Powder and Particle Journal. 2024 ;10 .[citado 2024 nov. 06 ] Available from: https://doi.org/10.14356/kona.2025009
    • Vancouver

      Louzada JCG, Andrade EC, Pinto TC de S, Leal Filho L de S. Rheological Characterization of Mineral Slurries Based on the Principle of Maximum Entropy [Internet]. KONA Powder and Particle Journal. 2024 ;10 .[citado 2024 nov. 06 ] Available from: https://doi.org/10.14356/kona.2025009
  • Source: Journal Of Petroleum Exploration And Production Technology. Unidade: EP

    Subjects: RESERVATÓRIOS DE PETRÓLEO, POÇOS

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      ARANHA, Pedro Esteves e POLICARPO, Nara Angélica e SAMPAIO, Márcio Santos. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production. Journal Of Petroleum Exploration And Production Technology, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-023-01720-4. Acesso em: 06 nov. 2024.
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      Aranha, P. E., Policarpo, N. A., & Sampaio, M. S. (2024). Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production. Journal Of Petroleum Exploration And Production Technology. doi:10.1007/s13202-023-01720-4
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      Aranha PE, Policarpo NA, Sampaio MS. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
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      Aranha PE, Policarpo NA, Sampaio MS. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
  • Source: Yearbook of Sustainable Smart Mining and Energy 2022. Unidade: EP

    Subjects: ECONOMIA DE ENERGIA, MINERAÇÃO, MINAS, VENTILAÇÃO EM MINAS

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      AYRES DA SILVA, Anna Luiza Marques et al. Ventilation on demand in brazilian underground mines: current situation and perspectives. Yearbook of Sustainable Smart Mining and Energy 2022. Tradução . Switzerland: Escola Politécnica, Universidade de São Paulo, 2024. v. 2. . Disponível em: https://repositorio.usp.br/directbitstream/75b03dc7-a310-4a19-94a1-a013caa0c778/MINAS-Ana_Luiza__Ayres_-2023-3166959-Ventilation_on_Demand.pdf. Acesso em: 06 nov. 2024.
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      Ayres da Silva, A. L. M., Vieira, J. M. C., Silva, W. T. da, & Eston, S. M. de. (2024). Ventilation on demand in brazilian underground mines: current situation and perspectives. In Yearbook of Sustainable Smart Mining and Energy 2022 (Vol. 2). Switzerland: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-41873-0_9
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      Ayres da Silva ALM, Vieira JMC, Silva WT da, Eston SM de. Ventilation on demand in brazilian underground mines: current situation and perspectives [Internet]. In: Yearbook of Sustainable Smart Mining and Energy 2022. Switzerland: Escola Politécnica, Universidade de São Paulo; 2024. [citado 2024 nov. 06 ] Available from: https://repositorio.usp.br/directbitstream/75b03dc7-a310-4a19-94a1-a013caa0c778/MINAS-Ana_Luiza__Ayres_-2023-3166959-Ventilation_on_Demand.pdf
    • Vancouver

      Ayres da Silva ALM, Vieira JMC, Silva WT da, Eston SM de. Ventilation on demand in brazilian underground mines: current situation and perspectives [Internet]. In: Yearbook of Sustainable Smart Mining and Energy 2022. Switzerland: Escola Politécnica, Universidade de São Paulo; 2024. [citado 2024 nov. 06 ] Available from: https://repositorio.usp.br/directbitstream/75b03dc7-a310-4a19-94a1-a013caa0c778/MINAS-Ana_Luiza__Ayres_-2023-3166959-Ventilation_on_Demand.pdf
  • Source: Journal of Petroleum Science and Engineering. Unidade: EP

    Subjects: PETROGRAFIA, INTELIGÊNCIA ARTIFICIAL

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      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 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.petrol.2022.111169. Acesso em: 06 nov. 2024.
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      Tamoto, H., Gioria, R. dos S., & Carneiro, C. de C. (2024). 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
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      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. 2024 ; 220 10 .[citado 2024 nov. 06 ] 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. 2024 ; 220 10 .[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.petrol.2022.111169
  • Source: Minerals. Unidade: EP

    Subjects: SUSTENTABILIDADE, INDICADORES DE PRODUTIVIDADE

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      SILVA, Rhaymá do Carmo e AYRES DA SILVA, Anna Luiza Marques. Assessing Mining Performance Indicators in Relation to the SDGs: Development of a Guided Methodology and Its Application in an Iron Ore Mine. Minerals, v. 14, p. 887 12, 2024Tradução . . Disponível em: https://doi.org/10.3390/min14090887. Acesso em: 06 nov. 2024.
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      Silva, R. do C., & Ayres da Silva, A. L. M. (2024). Assessing Mining Performance Indicators in Relation to the SDGs: Development of a Guided Methodology and Its Application in an Iron Ore Mine. Minerals, 14, 887 12. doi:10.3390/min14090887
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      Silva R do C, Ayres da Silva ALM. Assessing Mining Performance Indicators in Relation to the SDGs: Development of a Guided Methodology and Its Application in an Iron Ore Mine [Internet]. Minerals. 2024 ; 14 887 12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/min14090887
    • Vancouver

      Silva R do C, Ayres da Silva ALM. Assessing Mining Performance Indicators in Relation to the SDGs: Development of a Guided Methodology and Its Application in an Iron Ore Mine [Internet]. Minerals. 2024 ; 14 887 12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/min14090887
  • Source: The Journal of the Southern African Institute of Mining and Metallurgy. Unidades: EP, RUSP

    Subjects: MINERAÇÃO, REJEITOS DE MINERAÇÃO

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      RODOVALHO, Edmo da Cunha et al. Reducing mining tailings and operational dilution: a new application of the room-and-pillar mining method. The Journal of the Southern African Institute of Mining and Metallurgy, v. 124, p. 483-489. aug., 2024Tradução . . Disponível em: http://dx.doi.org/10.17159/2411- 9717/1696/2024. Acesso em: 06 nov. 2024.
    • APA

      Rodovalho, E. da C., El Hajj, T. M., Teodoro, G. C., Tomi, G. F. C. de, & Tenório, J. A. S. (2024). Reducing mining tailings and operational dilution: a new application of the room-and-pillar mining method. The Journal of the Southern African Institute of Mining and Metallurgy, 124, 483-489. aug. doi:10.17159/2411- 9717/1696/2024
    • NLM

      Rodovalho E da C, El Hajj TM, Teodoro GC, Tomi GFC de, Tenório JAS. Reducing mining tailings and operational dilution: a new application of the room-and-pillar mining method. [Internet]. The Journal of the Southern African Institute of Mining and Metallurgy. 2024 ; 124 483-489. aug.[citado 2024 nov. 06 ] Available from: http://dx.doi.org/10.17159/2411- 9717/1696/2024
    • Vancouver

      Rodovalho E da C, El Hajj TM, Teodoro GC, Tomi GFC de, Tenório JAS. Reducing mining tailings and operational dilution: a new application of the room-and-pillar mining method. [Internet]. The Journal of the Southern African Institute of Mining and Metallurgy. 2024 ; 124 483-489. aug.[citado 2024 nov. 06 ] Available from: http://dx.doi.org/10.17159/2411- 9717/1696/2024
  • Source: Journal of Petroleum Exploration and Production Technology. Unidade: EP

    Subjects: DIÓXIDO DE CARBONO, CIMENTO

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      UDEBHULU, Okhiria Dickson et al. A review of cement sheath integrity evaluation techniques for carbon dioxide storage. Journal of Petroleum Exploration and Production Technology, v. 14, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-023-01697-0. Acesso em: 06 nov. 2024.
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      Udebhulu, O. D., Aladeitan, Y., Azevedo, R. C. de, & De Tomi, G. F. C. (2024). A review of cement sheath integrity evaluation techniques for carbon dioxide storage. Journal of Petroleum Exploration and Production Technology, 14, 1-23. doi:10.1007/s13202-023-01697-0
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      Udebhulu OD, Aladeitan Y, Azevedo RC de, De Tomi GFC. A review of cement sheath integrity evaluation techniques for carbon dioxide storage [Internet]. Journal of Petroleum Exploration and Production Technology. 2024 ;14 1-23.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s13202-023-01697-0
    • Vancouver

      Udebhulu OD, Aladeitan Y, Azevedo RC de, De Tomi GFC. A review of cement sheath integrity evaluation techniques for carbon dioxide storage [Internet]. Journal of Petroleum Exploration and Production Technology. 2024 ;14 1-23.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/s13202-023-01697-0
  • Source: Journal of Materials Research and Technology. Unidade: EP

    Subjects: ANÁLISE DE DADOS, MINERALOGIA APLICADA, MINÉRIOS, OURO

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      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: 06 nov. 2024.
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      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
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      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 nov. 06 ] 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 nov. 06 ] Available from: https://doi.org/10.1016/j.jmrt.2024.01.139
  • Source: Construction and Building Materials. Unidade: EP

    Subjects: MICROSCOPIA ELETRÔNICA DE VARREDURA, PROCESSAMENTO DIGITAL DE IMAGENS, MISTURA DO CONCRETO

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      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: 06 nov. 2024.
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      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 nov. 06 ] 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 nov. 06 ] Available from: https://doi.org/10.1016/j.conbuildmat.2024.135595

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