26 citations · 59 across the 3 of their papers we have counts for
4 papers
Deep-pretrained-FWI: combining supervised learning with physics-informed neural network
Ana Paula O. Muller, Clecio R. Bom, Jessé C. Costa +4
An accurate velocity model is essential to make a good seismic image. Conventional methods to perform Velocity Model Building (VMB) tasks rely on inverse methods, which, despite be…
Deep-tomography: iterative velocity model building with deep learning
Ana Paula O. Muller, Clecio R. Bom, Jesse C. Costa +5
The accurate and fast estimation of velocity models is crucial in seismic imaging. Conventional methods, like Tomography and Full-Waveform Inversion (FWI), obtain appropriate veloc…
Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning
Ana Paula O. Muller, Jesse C. Costa, Clecio R. Bom +5
Delimiting salt inclusions from migrated images is a time-consuming activity that relies on highly human-curated analysis and is subject to interpretation errors or limitations of…
On a method for Rock Classification using Textural Features and Genetic Optimization
Manuel Blanco Valentin, Clecio Roque De Bom, Marcio Portes de Albuquerque +4
In this work we present a method to classify a set of rock textures based on a Spectral Analysis and the extraction of the texture Features of the resulted images. Up to 520 featur…