Banca de DEFESA: JOSE FABRICIO LIMA DE SOUZA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE: JOSE FABRICIO LIMA DE SOUZA
DATA: 20/12/2019
HORA: 09:00
LOCAL: AUDITÓRIO DO CENTRO DE INFORMÁTICA
TÍTULO: CLASSIFICAÇÃO DE PADRÕES EM IMAGENS SÍSMICAS UTILIZANDO INTELIGENCIA ARTIFICIAL
PALAVRAS-CHAVES: Imagem Sísmica, Prospecção de Petróleo, Descritores de Textura, Classificação de Padrões, Redes Neurais Artificiais.
PÁGINAS: 80
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Mecânica
SUBÁREA: Processos de Fabricação
ESPECIALIDADE: Controle Numérico
RESUMO: This paper aims to provide alternative approaches for automatic classification of subsurface hydrocarbonbearing regions from 2D seismic images driven by multi-layer perceptron neural networks (MLPs) (a kind of artificial neural network) and convolutional neural networks (CNNs). The first approach is based on a standard MLP whose features are controlled by Haralick’s textural descriptors; the second one is developed with a multiple-layer CNN. Both techniques are studied to identify geologic ‘‘leads’’, instead of delineating other structures of the porous medium, such as salt bodies or seismic faults. The outcomes obtained from each approach are evaluated for a dataset of seismic images corresponding to the offshore SEAL Basin in Brazil’s northeastern. Performance indicators (accuracy, recall, precision, F-measure and loss) are computed to verify training and validation of the network learning capabilities. It is shown that for both MLP and CNN configurations, good agreement is achieved in blind testing qualitatively and quantitatively.
MEMBROS DA BANCA:
Presidente - 1559497 - MOISES DANTAS DOS SANTOS
Interno - 1753873 - ABEL CAVALCANTE LIMA FILHO
Interno - 2344244 - GUSTAVO CHARLES PEIXOTO DE OLIVEIRA
Externo ao Programa - 1167863 - LEONARDO VIDAL BATISTA
Externo à Instituição - JOSÉ ANTONIO BARBOSA