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FREITAS, Vitória M. S. et al. Sensitive Monitoring of the Minimum Inhibitor Concentration underReal Inorganic Scaling Scenarios. ACS Omega, 2024Tradução . . Disponível em: https://doi.org/10.1021/acsomega.4c04912. Acesso em: 11 set. 2024.
APA
Freitas, V. M. S., Paschoalino, W. J., Vieira, L. C. S., Silva, J. M., Couto, B. C., Gobbi, A. L., & Lima, R. S. (2024). Sensitive Monitoring of the Minimum Inhibitor Concentration underReal Inorganic Scaling Scenarios. ACS Omega. doi:10.1021/acsomega.4c04912
NLM
Freitas VMS, Paschoalino WJ, Vieira LCS, Silva JM, Couto BC, Gobbi AL, Lima RS. Sensitive Monitoring of the Minimum Inhibitor Concentration underReal Inorganic Scaling Scenarios [Internet]. ACS Omega. 2024 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.1021/acsomega.4c04912
Vancouver
Freitas VMS, Paschoalino WJ, Vieira LCS, Silva JM, Couto BC, Gobbi AL, Lima RS. Sensitive Monitoring of the Minimum Inhibitor Concentration underReal Inorganic Scaling Scenarios [Internet]. ACS Omega. 2024 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.1021/acsomega.4c04912
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CARVALHO, Pablo Giovanni Silva e DEVLOO, Philippe Remy Bernard e GOMES, Sônia Maria. A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields. International Journal for Numerical Methods in Engineering, v. 125, n. Ja 2024, p. 1-36, 2024Tradução . . Disponível em: https://doi.org/10.1002/nme.7363. Acesso em: 11 set. 2024.
APA
Carvalho, P. G. S., Devloo, P. R. B., & Gomes, S. M. (2024). A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields. International Journal for Numerical Methods in Engineering, 125( Ja 2024), 1-36. doi:10.1002/nme.7363
NLM
Carvalho PGS, Devloo PRB, Gomes SM. A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields [Internet]. International Journal for Numerical Methods in Engineering. 2024 ; 125( Ja 2024): 1-36.[citado 2024 set. 11 ] Available from: https://doi.org/10.1002/nme.7363
Vancouver
Carvalho PGS, Devloo PRB, Gomes SM. A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields [Internet]. International Journal for Numerical Methods in Engineering. 2024 ; 125( Ja 2024): 1-36.[citado 2024 set. 11 ] Available from: https://doi.org/10.1002/nme.7363
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BAIADORI, Felipe et al. Evidence of crustal flexure induced by fluvial incisions. Tectonophysics, v. 877, n. , p. 230292-, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.tecto.2024.230292. Acesso em: 11 set. 2024.
APA
Baiadori, F., Sacek, V., Freitas, B. T., & Almeida, R. P. de. (2024). Evidence of crustal flexure induced by fluvial incisions. Tectonophysics, 877( ), 230292-. doi:10.1016/j.tecto.2024.230292
NLM
Baiadori F, Sacek V, Freitas BT, Almeida RP de. Evidence of crustal flexure induced by fluvial incisions [Internet]. Tectonophysics. 2024 ; 877( ): 230292-.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.tecto.2024.230292
Vancouver
Baiadori F, Sacek V, Freitas BT, Almeida RP de. Evidence of crustal flexure induced by fluvial incisions [Internet]. Tectonophysics. 2024 ; 877( ): 230292-.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.tecto.2024.230292
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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: 11 set. 2024.
APA
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
NLM
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 set. 11 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Vancouver
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 set. 11 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
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SILVA RUIZ, Naira Machado da et al. Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties. Polymer Degradation and Stability, v. 224, p. 110727-1-110727-8, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.polymdegradstab.2024.110727. Acesso em: 11 set. 2024.
APA
Silva Ruiz, N. M. da, Sousa, A. M. F. de, Calderari, M. R. da C. M., Figueiredo, M. A. G. de, Lima, A. V. de, & Azevêdo, E. R. de. (2024). Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties. Polymer Degradation and Stability, 224, 110727-1-110727-8. doi:10.1016/j.polymdegradstab.2024.110727
NLM
Silva Ruiz NM da, Sousa AMF de, Calderari MR da CM, Figueiredo MAG de, Lima AV de, Azevêdo ER de. Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties [Internet]. Polymer Degradation and Stability. 2024 ; 224 110727-1-110727-8.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.polymdegradstab.2024.110727
Vancouver
Silva Ruiz NM da, Sousa AMF de, Calderari MR da CM, Figueiredo MAG de, Lima AV de, Azevêdo ER de. Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties [Internet]. Polymer Degradation and Stability. 2024 ; 224 110727-1-110727-8.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.polymdegradstab.2024.110727
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SILVA, Alexandre Ataíde da et al. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, v. 403, p. 135151, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.snb.2023.135151. Acesso em: 11 set. 2024.
APA
Silva, A. A. da, Oliveira, R. A. G. de, Giordano, G. F., Silva, G. S. da, Murer, R. C., Vieira, L. C. S., et al. (2024). Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, 403, 135151. doi:10.1016/j.snb.2023.135151
NLM
Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
Vancouver
Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
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TAVARES, Sergio R. e MORAES, Pedro Ivo R. e LEITÃO, Alexandre A. In silico investigation of herbicide release from intercalated layered double hydroxides. Applied Clay Science, v. 254, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.clay.2024.107377. Acesso em: 11 set. 2024.
APA
Tavares, S. R., Moraes, P. I. R., & Leitão, A. A. (2024). In silico investigation of herbicide release from intercalated layered double hydroxides. Applied Clay Science, 254. doi:10.1016/j.clay.2024.107377
NLM
Tavares SR, Moraes PIR, Leitão AA. In silico investigation of herbicide release from intercalated layered double hydroxides [Internet]. Applied Clay Science. 2024 ; 254[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.clay.2024.107377
Vancouver
Tavares SR, Moraes PIR, Leitão AA. In silico investigation of herbicide release from intercalated layered double hydroxides [Internet]. Applied Clay Science. 2024 ; 254[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.clay.2024.107377
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FERNANDES, M. A. e GILDIN, Eduardo e PINTO, Marcio Augusto Sampaio. Data-Driven workflow for categorization of brines applied to a pre-salt field. 2023, Anais.. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.4043/32950-MS. Acesso em: 11 set. 2024.
APA
Fernandes, M. A., Gildin, E., & Pinto, M. A. S. (2023). Data-Driven workflow for categorization of brines applied to a pre-salt field. In Proceedings. Rio de Janeiro: Escola Politécnica, Universidade de São Paulo. doi:10.4043/32950-MS
NLM
Fernandes MA, Gildin E, Pinto MAS. Data-Driven workflow for categorization of brines applied to a pre-salt field [Internet]. Proceedings. 2023 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.4043/32950-MS
Vancouver
Fernandes MA, Gildin E, Pinto MAS. Data-Driven workflow for categorization of brines applied to a pre-salt field [Internet]. Proceedings. 2023 ;[citado 2024 set. 11 ] Available from: https://doi.org/10.4043/32950-MS
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OLIVEIRA, Lucas Abreu Blanes de et al. Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs. Geophysical prospecting, p. 1-29, 2023Tradução . . Disponível em: https://doi.org/10.1111/1365-2478.13378. Acesso em: 11 set. 2024.
APA
Oliveira, L. A. B. de, Freitas, G. D. N., Pesce, P. B. C., & Carneiro, C. de C. (2023). Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs. Geophysical prospecting, 1-29. doi:10.1111/1365-2478.13378
NLM
Oliveira LAB de, Freitas GDN, Pesce PBC, Carneiro C de C. Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs [Internet]. Geophysical prospecting. 2023 ;1-29.[citado 2024 set. 11 ] Available from: https://doi.org/10.1111/1365-2478.13378
Vancouver
Oliveira LAB de, Freitas GDN, Pesce PBC, Carneiro C de C. Hybrid mineral model integrating probabilistic and machine learning approaches for the Brazilian pre-salt carbonate reservoirs [Internet]. Geophysical prospecting. 2023 ;1-29.[citado 2024 set. 11 ] Available from: https://doi.org/10.1111/1365-2478.13378
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ABREU, E et al. Recursive formulation and parallel implementation of multiscale mixed methods. Journal of Computational Physics, v. 473, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2022.111681. Acesso em: 11 set. 2024.
APA
Abreu, E., Ferraz, P., Santo, A. M. E., Pereira, F., Santos, L. G. C., & Sousa, F. S. de. (2023). Recursive formulation and parallel implementation of multiscale mixed methods. Journal of Computational Physics, 473, 1-21. doi:10.1016/j.jcp.2022.111681
NLM
Abreu E, Ferraz P, Santo AME, Pereira F, Santos LGC, Sousa FS de. Recursive formulation and parallel implementation of multiscale mixed methods [Internet]. Journal of Computational Physics. 2023 ; 473 1-21.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.jcp.2022.111681
Vancouver
Abreu E, Ferraz P, Santo AME, Pereira F, Santos LGC, Sousa FS de. Recursive formulation and parallel implementation of multiscale mixed methods [Internet]. Journal of Computational Physics. 2023 ; 473 1-21.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.jcp.2022.111681
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NASCIMENTO, João P. et al. Investigation of the deactivation behavior of MeMo/La2O3-Al2O3- and MeMo/Nb2O5 supported catalysts (Me = Pt, Ni, and Co) in tri-reforming of methane. Energy & Fuels, v. 37, n. 5, p. 3836–3853, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.energyfuels.2c03120. Acesso em: 11 set. 2024.
APA
Nascimento, J. P., Bezerra, R. de C. F., Assaf, E. M., Lucrédio, A. F., Araújo, R. S., Saraiva, G. D., et al. (2023). Investigation of the deactivation behavior of MeMo/La2O3-Al2O3- and MeMo/Nb2O5 supported catalysts (Me = Pt, Ni, and Co) in tri-reforming of methane. Energy & Fuels, 37( 5), 3836–3853. doi:10.1021/acs.energyfuels.2c03120
NLM
Nascimento JP, Bezerra R de CF, Assaf EM, Lucrédio AF, Araújo RS, Saraiva GD, Rodriguez-Castellon E, Rodríguez-Aguado E, Pinheiro GS, Oliveira AC. Investigation of the deactivation behavior of MeMo/La2O3-Al2O3- and MeMo/Nb2O5 supported catalysts (Me = Pt, Ni, and Co) in tri-reforming of methane [Internet]. Energy & Fuels. 2023 ; 37( 5): 3836–3853.[citado 2024 set. 11 ] Available from: https://doi.org/10.1021/acs.energyfuels.2c03120
Vancouver
Nascimento JP, Bezerra R de CF, Assaf EM, Lucrédio AF, Araújo RS, Saraiva GD, Rodriguez-Castellon E, Rodríguez-Aguado E, Pinheiro GS, Oliveira AC. Investigation of the deactivation behavior of MeMo/La2O3-Al2O3- and MeMo/Nb2O5 supported catalysts (Me = Pt, Ni, and Co) in tri-reforming of methane [Internet]. Energy & Fuels. 2023 ; 37( 5): 3836–3853.[citado 2024 set. 11 ] Available from: https://doi.org/10.1021/acs.energyfuels.2c03120
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RUBO, Rafael Andrello e MICHELON, Mateus Fontana e CARNEIRO, Cleyton de Carvalho. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, p. 10 2023, 2023Tradução . . Disponível em: https://doi.org/10.1007/s12145-022-00901-9. Acesso em: 11 set. 2024.
APA
Rubo, R. A., Michelon, M. F., & Carneiro, C. de C. (2023). Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images. Earth Science Informatics, 10 2023. doi:10.1007/s12145-022-00901-9
NLM
Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/s12145-022-00901-9
Vancouver
Rubo RA, Michelon MF, Carneiro C de C. Carbonate lithofacies classification in optical microscopy: a data‑centric approach using augmentation and GAN synthetic images [Internet]. Earth Science Informatics. 2023 ;10 2023.[citado 2024 set. 11 ] Available from: https://doi.org/10.1007/s12145-022-00901-9
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SALAZAR MORA, Claudio Alejandro e SACEK, Victor. Effects of tectonic quiescence between orogeny and rifting. Tectonics, v. 42, 2023Tradução . . Disponível em: https://doi.org/10.1029/2022TC007492. Acesso em: 11 set. 2024.
APA
Salazar Mora, C. A., & Sacek, V. (2023). Effects of tectonic quiescence between orogeny and rifting. Tectonics, 42. doi:10.1029/2022TC007492
NLM
Salazar Mora CA, Sacek V. Effects of tectonic quiescence between orogeny and rifting [Internet]. Tectonics. 2023 ; 42[citado 2024 set. 11 ] Available from: https://doi.org/10.1029/2022TC007492
Vancouver
Salazar Mora CA, Sacek V. Effects of tectonic quiescence between orogeny and rifting [Internet]. Tectonics. 2023 ; 42[citado 2024 set. 11 ] Available from: https://doi.org/10.1029/2022TC007492
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REGINATO, Leonardo Fonseca e GIORIA, Rafael dos Santos e PINTO, Marcio Augusto Sampaio. Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection. Energies, v. 16, n. 13, 2023Tradução . . Disponível em: https://doi.org/10.3390/en16134849. Acesso em: 11 set. 2024.
APA
Reginato, L. F., Gioria, R. dos S., & Pinto, M. A. S. (2023). Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection. Energies, 16( 13). doi:10.3390/en16134849
NLM
Reginato LF, Gioria R dos S, Pinto MAS. Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection [Internet]. Energies. 2023 ;16( 13):[citado 2024 set. 11 ] Available from: https://doi.org/10.3390/en16134849
Vancouver
Reginato LF, Gioria R dos S, Pinto MAS. Hybrid Machine Learning for Modeling the Relative Permeability Changes in Carbonate Reservoirs under Engineered Water Injection [Internet]. Energies. 2023 ;16( 13):[citado 2024 set. 11 ] Available from: https://doi.org/10.3390/en16134849
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OLIVEIRA, João Eduardo de et al. Probing mobility constrains in polymers using 1H double quantum time domain NMR as a method to investigate thermal, chemical or environmental degradation effects. 2023, Anais.. Campinas: Galoá, 2023. Disponível em: https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/probing-mobility-constrains-in-polymers-using-1h-double-quantum-time-domain-nmr?lang=en. Acesso em: 11 set. 2024.
APA
Oliveira, J. E. de, Lázari, M. P. de, Garcia, R. H. dos S., Teixeira, S. C. dos S., Chaves, E. G., Lima, A. P., et al. (2023). Probing mobility constrains in polymers using 1H double quantum time domain NMR as a method to investigate thermal, chemical or environmental degradation effects. In Anais eletrônicos. Campinas: Galoá. Recuperado de https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/probing-mobility-constrains-in-polymers-using-1h-double-quantum-time-domain-nmr?lang=en
NLM
Oliveira JE de, Lázari MP de, Garcia RH dos S, Teixeira SC dos S, Chaves EG, Lima AP, Honorato H de A, Menezes SMC, Silva A, Azevêdo ER de. Probing mobility constrains in polymers using 1H double quantum time domain NMR as a method to investigate thermal, chemical or environmental degradation effects [Internet]. Anais eletrônicos. 2023 ;[citado 2024 set. 11 ] Available from: https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/probing-mobility-constrains-in-polymers-using-1h-double-quantum-time-domain-nmr?lang=en
Vancouver
Oliveira JE de, Lázari MP de, Garcia RH dos S, Teixeira SC dos S, Chaves EG, Lima AP, Honorato H de A, Menezes SMC, Silva A, Azevêdo ER de. Probing mobility constrains in polymers using 1H double quantum time domain NMR as a method to investigate thermal, chemical or environmental degradation effects [Internet]. Anais eletrônicos. 2023 ;[citado 2024 set. 11 ] Available from: https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/probing-mobility-constrains-in-polymers-using-1h-double-quantum-time-domain-nmr?lang=en
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MORAIS, Mateus Mota et al. Fabrication and petrophysical characterization of artificial carbonate rocks with multiscale porosity sintered in a CO2 atmosphere. Geoenergy Science and Engineering, v. 229, p. 212096-1-212096-14, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212096. Acesso em: 11 set. 2024.
APA
Morais, M. M., Lucas-Oliveira, É., Bonagamba, T. J., Aum, P. T. P., Lucas, C. R. dos S., Silva, D. N. N. da, & Fortulan, C. A. (2023). Fabrication and petrophysical characterization of artificial carbonate rocks with multiscale porosity sintered in a CO2 atmosphere. Geoenergy Science and Engineering, 229, 212096-1-212096-14. doi:10.1016/j.geoen.2023.212096
NLM
Morais MM, Lucas-Oliveira É, Bonagamba TJ, Aum PTP, Lucas CR dos S, Silva DNN da, Fortulan CA. Fabrication and petrophysical characterization of artificial carbonate rocks with multiscale porosity sintered in a CO2 atmosphere [Internet]. Geoenergy Science and Engineering. 2023 ; 229 212096-1-212096-14.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.geoen.2023.212096
Vancouver
Morais MM, Lucas-Oliveira É, Bonagamba TJ, Aum PTP, Lucas CR dos S, Silva DNN da, Fortulan CA. Fabrication and petrophysical characterization of artificial carbonate rocks with multiscale porosity sintered in a CO2 atmosphere [Internet]. Geoenergy Science and Engineering. 2023 ; 229 212096-1-212096-14.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.geoen.2023.212096
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SHIMIZU, Flavio M. et al. Combining advanced oxidation principles and electrochemical detection for indirect determination of phosphonate in scale inhibitors employed in the oilfield. Electrochimica Acta, v. 463, p. 142859, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.electacta.2023.142859. Acesso em: 11 set. 2024.
APA
Shimizu, F. M., Pasqualeti, A. M., Carvalho, R. M., Chinelatto Jr, L. S., Fontes, R. A., Piazzetta, M. H. O., et al. (2023). Combining advanced oxidation principles and electrochemical detection for indirect determination of phosphonate in scale inhibitors employed in the oilfield. Electrochimica Acta, 463, 142859. doi:10.1016/j.electacta.2023.142859
NLM
Shimizu FM, Pasqualeti AM, Carvalho RM, Chinelatto Jr LS, Fontes RA, Piazzetta MHO, Gobbi AL, Lima RS. Combining advanced oxidation principles and electrochemical detection for indirect determination of phosphonate in scale inhibitors employed in the oilfield [Internet]. Electrochimica Acta. 2023 ;463 142859.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.electacta.2023.142859
Vancouver
Shimizu FM, Pasqualeti AM, Carvalho RM, Chinelatto Jr LS, Fontes RA, Piazzetta MHO, Gobbi AL, Lima RS. Combining advanced oxidation principles and electrochemical detection for indirect determination of phosphonate in scale inhibitors employed in the oilfield [Internet]. Electrochimica Acta. 2023 ;463 142859.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.electacta.2023.142859
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ARGENTIN, Marcela Nunes et al. Biosurfactant from a thermo-halophilic strain of Bacillus alveayuensis isolated from a Brazilian oil reservoir: production, chemical characterization, antimicrobial activity, and efficiency in wettability reversal and oil removal from oil-soaked sand. Geoenergy Science and Engineering, v. 231, p. 212324-1-212324-16 + supplementary data, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.geoen.2023.212324. Acesso em: 11 set. 2024.
APA
Argentin, M. N., Martins, L. F., Sousa, M. P. de, & Bossolan, N. R. S. (2023). Biosurfactant from a thermo-halophilic strain of Bacillus alveayuensis isolated from a Brazilian oil reservoir: production, chemical characterization, antimicrobial activity, and efficiency in wettability reversal and oil removal from oil-soaked sand. Geoenergy Science and Engineering, 231, 212324-1-212324-16 + supplementary data. doi:10.1016/j.geoen.2023.212324
NLM
Argentin MN, Martins LF, Sousa MP de, Bossolan NRS. Biosurfactant from a thermo-halophilic strain of Bacillus alveayuensis isolated from a Brazilian oil reservoir: production, chemical characterization, antimicrobial activity, and efficiency in wettability reversal and oil removal from oil-soaked sand [Internet]. Geoenergy Science and Engineering. 2023 ; 231 212324-1-212324-16 + supplementary data.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.geoen.2023.212324
Vancouver
Argentin MN, Martins LF, Sousa MP de, Bossolan NRS. Biosurfactant from a thermo-halophilic strain of Bacillus alveayuensis isolated from a Brazilian oil reservoir: production, chemical characterization, antimicrobial activity, and efficiency in wettability reversal and oil removal from oil-soaked sand [Internet]. Geoenergy Science and Engineering. 2023 ; 231 212324-1-212324-16 + supplementary data.[citado 2024 set. 11 ] Available from: https://doi.org/10.1016/j.geoen.2023.212324
Bonagamba, T. J. (2023). Doing NMR and NQR outside the box. In Anais eletrônicos. Campinas: Galoá. Recuperado de https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/doing-nmr-and-nqr-outside-the-box?lang=en
NLM
Bonagamba TJ. Doing NMR and NQR outside the box [Internet]. Anais eletrônicos. 2023 ;[citado 2024 set. 11 ] Available from: https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/doing-nmr-and-nqr-outside-the-box?lang=en
Vancouver
Bonagamba TJ. Doing NMR and NQR outside the box [Internet]. Anais eletrônicos. 2023 ;[citado 2024 set. 11 ] Available from: https://proceedings.science/nmrmeeting/19nmrmeeting-2023/papers/doing-nmr-and-nqr-outside-the-box?lang=en
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ABNT
LÁZARI, Marina Perassolli de et al. Uso da ressonância magnética nuclear para avaliação da degradação de poliamidas sob a ação de sequestrantes de H2S. 2023, Anais.. São Paulo: Universidade de São Paulo - USP, 2023. Disponível em: https://repositorio.usp.br/directbitstream/913ab57b-a1df-4c05-b371-ae5e2573cfae/3175747.pdf. Acesso em: 11 set. 2024.
APA
Lázari, M. P. de, Garcia, R. H. dos S., Nunes, L. A. de O., & Azevêdo, E. R. de. (2023). Uso da ressonância magnética nuclear para avaliação da degradação de poliamidas sob a ação de sequestrantes de H2S. In Resumos. São Paulo: Universidade de São Paulo - USP. Recuperado de https://repositorio.usp.br/directbitstream/913ab57b-a1df-4c05-b371-ae5e2573cfae/3175747.pdf
NLM
Lázari MP de, Garcia RH dos S, Nunes LA de O, Azevêdo ER de. Uso da ressonância magnética nuclear para avaliação da degradação de poliamidas sob a ação de sequestrantes de H2S [Internet]. Resumos. 2023 ;[citado 2024 set. 11 ] Available from: https://repositorio.usp.br/directbitstream/913ab57b-a1df-4c05-b371-ae5e2573cfae/3175747.pdf
Vancouver
Lázari MP de, Garcia RH dos S, Nunes LA de O, Azevêdo ER de. Uso da ressonância magnética nuclear para avaliação da degradação de poliamidas sob a ação de sequestrantes de H2S [Internet]. Resumos. 2023 ;[citado 2024 set. 11 ] Available from: https://repositorio.usp.br/directbitstream/913ab57b-a1df-4c05-b371-ae5e2573cfae/3175747.pdf