Carlos Magno Couto Jacinto

NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment

Ronay Ak, Yan‐Fu Li, Valeria Vitelli et al. · Expert Systems with Applications · 2012 · 64 citations

Computing, Computer Science, Petroleum Engineering +16

Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression

Isis Didier Lins, Enrique López Droguett, Márcio das Chagas Moura et al. · Reliability Engineering & System Safety · 2015 · 44 citations

Engineering, Industrial Engineering, Systems Engineering +16

A Practical Method of Predicting Calcium Carbonate Scale Formation in Well Completions

Orlando De Jesús, Carlos Magno Couto Jacinto, Ronaldo Izetti et al. · SPE Production & Operations · 2015 · 28 citations

Engineering, Chemical Engineering, Petroleum Engineering +17

Risk assessment of drilling and completion operations in petroleum wells using a monte carlo and a neural network approach

Dennis Kerr Coelho, Mauro Roisenberg, Paula Filho et al. · Winter Simulation Conference · 2005 · 26 citations

Engineering, Computer Science, Petroleum Engineering +14

A semi-Markov model with Bayesian belief network based human error probability for availability assessment of downhole optical monitoring systems

Enrique López Droguett, Márcio das Chagas Moura, Carlos Magno Couto Jacinto et al. · Simulation Modelling Practice and Theory · 2008 · 23 citations

Computing, Computer Science, Systems Engineering +17