3D Deep-Tomography: 3D velocity model building with deep learning based on subsurface offset gathers
Bernardo M. O. Fraga, Ana Paula O. Muller, Jessé C. Costa, Clecio R. Bom, Elisangela L. Faria, Marcelo P. de Albuquerque, Marcio P. de Albuquerque
3D seismic-well correlation workflow in depth domain using an evolutionary algorithm and machine learning interpolation
Matheus Freire Souza Barcelos Guimarães, Fernando Sergio Moraes, Carlos André, Sérgio Adriano Moura Oliveira,
Advancing in seismic data interpolation through Deep Convolutional Neural Network with Frame Interpolation technique
Pâmella Regina Fernandes da Costa, Pablo Ramon Santana de Carvalho, Anderson Silva Santos, Stephanie Tavares Venâncio dos Santos, Gláucia Kimie Sakai, Eduardo Bizarria Gaspar, Paulo Jorge de Azevedo Cramps, Leonardo da Silva Alexandre, Débora Ribeiro Bare
Artificial Intelligence and Machine Learning in Sustainable Energy
Stephen Gallant, Nishi Patel, Sara Zaheri
Artificial intelligence in seismic interpretation: transfer learning, active learning and other helpful tools
Erick Costa e Silva Talarico, Matheus Cafaro Arouca Sobreira, Vanessa Madrucci, Elionardo Moraes Pintas, Guilherme Castro Martins Costa, Wilson Leão Neto
Automatic mapping of the velocity field in seismic reflection data using unsupervised learning K-means clustering
Marcos Augusto Lima da Luz, Michelangelo Gomes da Silva, Milton J. Porsani,
Automatic Segmentation of Breakouts in Acoustic Image Logs with Deep Learning
Gabrielle Brandemburg dos Anjos, Augusto Ícaro da Cunha, Mayara Gomes, Nelia Reis, Raquel Guilhon, Renata Nascimento, Candida Menezes de Jesus
Carbonate reservoirs characterization with seismic phase components attributes from the time-time transform via Variational Auto-Encoder
Pedro Henrique Silvany Sales, Marcilio Castro de Matos, Marcos de Carvalho Machado, Renata dos Santos Giacomel
Computational feasibility of a 3D local FWI using the Recursive Patched Green Functions method
Janaina Schwarzrock, Edwin Fagua Duarte, Danyelle da Silva, João Medeiros de Araujo, Mauro Ferreira
Convolutional neural network for the automatic evaluation of cement bond scenarios in an oil well: a preliminary result
Jorge Luiz dos Santos Gomes, Victor Rolando Ruiz Ahón, Troner Assenheimer de Souza, Alfredo Moisés Vallejos Carrasco, João Crisósthomo de Queiroz Neto, Mateus Abreu Itikawa, Rodolfo Rodrigues Holanda Cavalcante, José Marcelo Silva Rocha, Carlos Pessanha C
3D Deep-Tomography: 3D velocity model building with deep learning based on subsurface offset gathers
Bernardo M. O. Fraga, Ana Paula O. Muller, Jessé C. Costa, Clecio R. Bom, Elisangela L. Faria, Marcelo P. de Albuquerque, Marcio P. de Albuquerque
3D seismic-well correlation workflow in depth domain using an evolutionary algorithm and machine learning interpolation
Matheus Freire Souza Barcelos Guimarães, Fernando Sergio Moraes, Carlos André, Sérgio Adriano Moura Oliveira,
Advancing in seismic data interpolation through Deep Convolutional Neural Network with Frame Interpolation technique
Pâmella Regina Fernandes da Costa, Pablo Ramon Santana de Carvalho, Anderson Silva Santos, Stephanie Tavares Venâncio dos Santos, Gláucia Kimie Sakai, Eduardo Bizarria Gaspar, Paulo Jorge de Azevedo Cramps, Leonardo da Silva Alexandre, Débora Ribeiro Bare
Artificial Intelligence and Machine Learning in Sustainable Energy
Stephen Gallant, Nishi Patel, Sara Zaheri
Artificial intelligence in seismic interpretation: transfer learning, active learning and other helpful tools
Erick Costa e Silva Talarico, Matheus Cafaro Arouca Sobreira, Vanessa Madrucci, Elionardo Moraes Pintas, Guilherme Castro Martins Costa, Wilson Leão Neto
Automatic mapping of the velocity field in seismic reflection data using unsupervised learning K-means clustering
Marcos Augusto Lima da Luz, Michelangelo Gomes da Silva, Milton J. Porsani,
Automatic Segmentation of Breakouts in Acoustic Image Logs with Deep Learning
Gabrielle Brandemburg dos Anjos, Augusto Ícaro da Cunha, Mayara Gomes, Nelia Reis, Raquel Guilhon, Renata Nascimento, Candida Menezes de Jesus
Carbonate reservoirs characterization with seismic phase components attributes from the time-time transform via Variational Auto-Encoder
Pedro Henrique Silvany Sales, Marcilio Castro de Matos, Marcos de Carvalho Machado, Renata dos Santos Giacomel
Computational feasibility of a 3D local FWI using the Recursive Patched Green Functions method
Janaina Schwarzrock, Edwin Fagua Duarte, Danyelle da Silva, João Medeiros de Araujo, Mauro Ferreira
Convolutional neural network for the automatic evaluation of cement bond scenarios in an oil well: a preliminary result
Jorge Luiz dos Santos Gomes, Victor Rolando Ruiz Ahón, Troner Assenheimer de Souza, Alfredo Moisés Vallejos Carrasco, João Crisósthomo de Queiroz Neto, Mateus Abreu Itikawa, Rodolfo Rodrigues Holanda Cavalcante, José Marcelo Silva Rocha, Carlos Pessanha C