1-3 of 3
João Paulo Navarro
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

DASF: A high-performance and scalable framework for large seismic datasets

Julio C. Faracco, Otávio O. Napoli, João Seródio, Carlos A. Astudillo, Leandro A. Villas, Edson Borin, Alan Souza, Daniel Miranda, João Paulo Navarro
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093467
https://doi.org/10.1190/image2024-4093467.1
Add To Cart
View Paper titled, DASF: A high-performance and scalable framework for large seismic datasets
Open the PDF for DASF: A high-performance and scalable framework for large seismic datasets in another window
Add to Citation Manager
Proceedings Papers

3D seismic data compression with multi-resolution autoencoders

Ana Paula Schiavon, Kevyn Swhants dos Santos Ribeiro, João Paulo Navarro, Marcelo Bernardes Vieira, Pedro Mário Cruz e Silva
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428331
https://doi.org/10.1190/segam2020-3428331.1
Add To Cart
View Paper titled, 3D seismic data compression with multi-resolution autoencoders
Open the PDF for 3D seismic data compression with multi-resolution autoencoders in another window
Add to Citation Manager
Proceedings Papers

Real-time seismic attributes computation with conditional GANs

João Paulo Navarro, Pedro Mário Cruz e Silva, Doris Pan, Ken Hester
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427757
https://doi.org/10.1190/segam2020-3427757.1
Add To Cart
View Paper titled, Real-time seismic attributes computation with conditional GANs
Open the PDF for Real-time seismic attributes computation with conditional GANs in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal