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Machine learning applied to evaluation of reservoir connectivity
Leticia Agra Mendes Ramalho, Juan Alberto Rojas Tueros and Bernardo Horowitz Neural Computing and Applications 36(2) 731 (2024) https://doi.org/10.1007/s00521-023-09056-0
Random fields and up scaling, towards a more predictive probabilistic quantitative hydrogeology
Controlled time series forecasting for oil reservoir management
Alexandre de Souza, Juan A. R. Tueros, Mateus G. Machado, Rafael F. V. C. Santos, Ramiro B. Willmersdorf, Silvana M. B. Afonso, Leonardo C. Oliveira and Bernardo Horowitz Neural Computing and Applications 36(36) 22805 (2024) https://doi.org/10.1007/s00521-024-10424-7
A New Methodology for Data Assimilation Using Capacitance-Resistance Model Combined with Fractional Flow and Aquifer Modeling