Diego Queiroz Faria de Menezes

@portal.peq.coppe.ufrj.br

PEQ/COPPE/UFRJ and ISI B&F
COPPETEC and SENAI CETIQT

Currently working in the Chemical Engineering Program at UFRJ/COPPETEC and SENAI CETIQT as a researcher. Have research interests in data reconciliation, parameter estimation, robust statistics, time series analysis, distillation, membrane process separation, simulation, modeling, and process optimization. Working as a researcher in the development of monitoring techniques, identification, and diagnosis of failures with an industrial process.

EDUCATION

D.Sc. in Chemical Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Chemical Engineering, Statistics, Probability and Uncertainty, Filtration and Separation, Process Chemistry and Technology

Scopus Publications

275

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Enhancing virtual flow metering on offshore oil platforms through parallel computing and data reconciliation
Gildeir L. Rabello, Gabriel M.P. Andrade, Diego Q.F. de Menezes, Rafael M. Soares, Tiago S.M. Lemos, Leonardo D. Ribeiro, Bruno F. Vieira, and José Carlos Pinto
Elsevier BV

Virtual flow metering of production flow rates of individual wells in oil and gas platforms through data reconciliation
Gabriel M.P. Andrade, Diego Q.F. de Menezes, Rafael M. Soares, Tiago S.M. Lemos, Alex F. Teixeira, Leonardo D. Ribeiro, Bruno F. Vieira, and José Carlos Pinto
Elsevier BV

Modeling of spiral wound membranes for gas separations. Part III: A nonisothermal 2D permeation model
Tahyná B. Fontoura, Marília Caroline C. de Sá, Diego Q. Faria de Menezes, Bruno Francisco Oechsler, Afrânio Melo, Luiz Felipe de O. Campos, Thiago K. Anzai, Fábio C. Diehl, Pedro H. Thompson, and José Carlos Pinto
Elsevier BV

A review on robust M-estimators for regression analysis
D.Q.F. de Menezes, D.M. Prata, A.R. Secchi, and J.C. Pinto
Elsevier BV

Modeling of spiral wound membranes for gas separations. Part I: An iterative 2D permeation model
Ana Carolina S. Dias, Marília Caroline C. De Sá, Tahyná B. Fontoura, Diego Q. Menezes, Thiago K. Anzai, Fábio C. Diehl, Pedro H. Thompson, and José Carlos Pinto
Elsevier BV

Modeling of spiral wound membranes for gas separations-part II: Data reconciliation for online monitoring
Diego Queiroz Faria de Menezes, Marília Caroline Cavalcante de Sá, Tahyná Barbalho Fontoura, Thiago Koichi Anzai, Fabio Cesar Diehl, Pedro Henrique Thompson, and Jose Carlos Pinto
MDPI AG
The present work presents a methodology based on data reconciliation to monitor membrane separation processes reliably, online and in real time for the first time. The proposed methodology was implemented in accordance with the following steps: data acquisition; data pre-treatment; data characterization; data reconciliation; gross error detection; and critical evaluation of measured data with a soft sensor. The acquisition of data constituted the slowest stage of the monitoring process, as expected in real-time applications. The pre-treatment stage was fundamental to assure the robustness of the code and the initial characterization of collected data was carried out offline. The characterization of the data showed that steady-state modeling of the process would be appropriate, also allowing the implementation of faster numerical procedures for the data reconciliation step. The data reconciliation step performed well, quickly and consistently. Thus, data reconciliation allowed the estimation of unmeasured variables, playing the role of a soft sensor and allowing the future installation of a digital twin. Additionally, monitoring of measurement bias constituted a tool for measurement diagnosis. As shown in the manuscript, the proposed methodology can be successfully implemented online and in real time for monitoring of membrane separation processes, as shown through a real dashboard web application developed for monitoring of an actual industrial site.

Eco-efficiency evaluation of acetone-methanol separation processes using computational simulation
Patrick V. Mangili, Yuri P.D.M. Souza, Diego Q.F. de Menezes, Lizandro S. Santos, and Diego M. Prata
Elsevier BV

RECENT SCHOLAR PUBLICATIONS

Use of neural networks for data reconciliation and virtual flow metering in oil wells
MFS Alves, GL Rabello, DQF de Menezes, RM Soares, BF Vieira, ...
Geoenergy Science and Engineering 246, 213543 2025

Modeling of Spiral Wound Membranes for Gas Separations—Part IV: Real-Time Monitoring Based on Detailed Phenomenological Model
MCC S, DQF Menezes, TB Fontoura, LFO Campos, TK Anzai, FC Diehl, ...
Processes 12 (11), 2597 2024

Enhancing virtual flow metering on offshore oil platforms through parallel computing and data reconciliation
GL Rabello, GMP Andrade, DQF de Menezes, RM Soares, TSM Lemos, ...
Geoenergy Science and Engineering 235, 212695 2024

Virtual flow metering of production flow rates of individual wells in oil and gas platforms through data reconciliation
GMP Andrade, DQF de Menezes, RM Soares, TSM Lemos, AF Teixeira, ...
Journal of Petroleum Science and Engineering 208, 109772 2022

Modeling of spiral wound membranes for gas separations. Part III: A nonisothermal 2D permeation model
TB Fontoura, MCC de S, DQF de Menezes, BF Oechsler, A Melo, ...
Chemical Engineering Research and Design 177, 376-393 2022

A review on robust M-estimators for regression analysis
DQF De Menezes, DM Prata, AR Secchi, JC Pinto
Computers & Chemical Engineering 147, 107254 2021

Modeling of spiral wound membranes for gas separations. Part I: An iterative 2D permeation model
ACS Dias, MCC de S, TB Fontoura, DQF de Menezes, TK Anzai, ...
Journal of Membrane Science 612, 118278 2020

Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring
DQF de Menezes, MCC de S, TB Fontoura, TK Anzai, FC Diehl, ...
Processes 8 (9), 1035 2020

Eco-efficiency evaluation of acetone-methanol separation processes using computational simulation
PV Mangili, YPDM Souza, DQF de Menezes, LS Santos, DM Prata
Chemical Engineering and Processing-Process Intensification 123, 100-110 2018

RECONCILIAO DE DADOS EM REDES DE TROCADORES DE CALOR UTILIZANDO O SOFTWARE EMSO
DQF de MENEZES, FC PEIXOTO, DM PRATA
Blucher Chemical Engineering Proceedings 1 (2), 12496-12503 2015

Reconciliao de dados em colunas de destilao utilizando o simulador EMSO
DQF de MENEZES, I SARRUF, FC PEIXOTO, DM PRATA
Blucher Chemical Engineering Proceedings 1 (2), 12520-12527 2015

RECONCILIAO DADOS EM PROCESSAMENTO DE MINRIO UTILIZANDO O SIMULADOR EMSO
DQF de MENEZES, S AL, FC PEIXOTO, DM PRATA
Blucher Chemical Engineering Proceedings 1 (2), 12504-12511 2015

Reconciliao Robusta de Dados utilizando o Simulador EMSO
I Sarruf, DQF de Menezes, LS Santos, DM Prata
Blucher Chemical Engineering Proceedings 1 (2), 11127-11134 2015

AVALIAO DAS EMISSES DE CO2 EM PLANTAS DE SEPARAO ACETONA–METANOL VIA SIMULAO COMPUTACIONAL
PV Mangili, DQF de Menezes, L de Sousa Santos, DM Prata

MOST CITED SCHOLAR PUBLICATIONS

A review on robust M-estimators for regression analysis
DQF De Menezes, DM Prata, AR Secchi, JC Pinto
Computers & Chemical Engineering 147, 107254 2021
Citations: 174

Modeling of Spiral Wound Membranes for Gas Separations—Part II: Data Reconciliation for Online Monitoring
DQF de Menezes, MCC de S, TB Fontoura, TK Anzai, FC Diehl, ...
Processes 8 (9), 1035 2020
Citations: 16

Reconciliao de dados em colunas de destilao utilizando o simulador EMSO
DQF de MENEZES, I SARRUF, FC PEIXOTO, DM PRATA
Blucher Chemical Engineering Proceedings 1 (2), 12520-12527 2015
Citations: 3

Reconciliao Robusta de Dados utilizando o Simulador EMSO
I Sarruf, DQF de Menezes, LS Santos, DM Prata
Blucher Chemical Engineering Proceedings 1 (2), 11127-11134 2015
Citations: 1