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Forlan La Rosa Almeida

About Forlan La Rosa Almeida

Forlan La Rosa Almeida, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universidade Federal de Pelotas, specializes in the field of Engenharia de Petróleo, Engenharia de Reservatórios, Simulação Numérica de Reservatórios, Ajuste de Histórico, Assimilaç.

His recent articles reflect a diverse array of research interests and contributions to the field:

Convolutional neural network formulation to compare 4-D seismic and reservoir simulation models

Metodologia de redução de incertezas assimilando quantitativamente dados de poço e sísmica 4D em um processo integrado à modelagem de reservatórios

A synthetic case study of measuring the misfit between 4D seismic data and numerical reservoir simulation models through the Momenta Tree

Leveraging Phylogenetic Trees to Assess Variability of Reservoir Models

Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Systematic approach to reduce uncertainties when quantitatively assimilating 4d seismic and well data

Forlan La Rosa Almeida Information

University

Position

Professor

Citations(all)

85

Citations(since 2020)

60

Cited By

50

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Forlan La Rosa Almeida Skills & Research Interests

Engenharia de Petróleo

Engenharia de Reservatórios

Simulação Numérica de Reservatórios

Ajuste de Histórico

Assimilaç

Top articles of Forlan La Rosa Almeida

Convolutional neural network formulation to compare 4-D seismic and reservoir simulation models

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2021/3/30

Aurea Soriano-Vargas
Aurea Soriano-Vargas

H-Index: 3

Alessandra Davolio
Alessandra Davolio

H-Index: 8

Denis José Schiozer
Denis José Schiozer

H-Index: 21

Metodologia de redução de incertezas assimilando quantitativamente dados de poço e sísmica 4D em um processo integrado à modelagem de reservatórios

2021

Forlan La Rosa Almeida
Forlan La Rosa Almeida

H-Index: 4

A synthetic case study of measuring the misfit between 4D seismic data and numerical reservoir simulation models through the Momenta Tree

Computers & Geosciences

2020/12/1

Aurea Soriano-Vargas
Aurea Soriano-Vargas

H-Index: 3

Alessandra Davolio
Alessandra Davolio

H-Index: 8

Bernd Hamann
Bernd Hamann

H-Index: 28

Leveraging Phylogenetic Trees to Assess Variability of Reservoir Models

2020/7/20

Aurea Soriano-Vargas
Aurea Soriano-Vargas

H-Index: 3

Forlan La Rosa Almeida
Forlan La Rosa Almeida

H-Index: 4

Alessandra Davolio
Alessandra Davolio

H-Index: 8

Bernd Hamann
Bernd Hamann

H-Index: 28

Denis José Schiozer
Denis José Schiozer

H-Index: 21

Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Journal of petroleum science and engineering

2020/6/1

Alessandra Davolio
Alessandra Davolio

H-Index: 8

Denis José Schiozer
Denis José Schiozer

H-Index: 21

Systematic approach to reduce uncertainties when quantitatively assimilating 4d seismic and well data

SPE Reservoir Evaluation & Engineering

2020/2/1

Forlan La Rosa Almeida
Forlan La Rosa Almeida

H-Index: 4

Alessandra Davolio
Alessandra Davolio

H-Index: 8

Denis José Schiozer
Denis José Schiozer

H-Index: 21

See List of Professors in Forlan La Rosa Almeida University(Universidade Federal de Pelotas)