Source: Geoenergy Science and Engineering. Unidade: EP
Subjects: PETRÓLEO, RESERVATÓRIOS DE PETRÓLEO, APRENDIZADO COMPUTACIONAL
ABNT
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: 13 nov. 2024.APA
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.2024.212771NLM
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. 13 ] Available from: https://doi.org/10.1016/j.geoen.2024.21277Vancouver
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. 13 ] Available from: https://doi.org/10.1016/j.geoen.2024.21277