Verónica Torres

Verónica Torres is currently a Ph.D. candidate at the Norwegian University of Science and Technology (NTNU), where they are researching innovative machine learning applications for well log depth matching tasks. They have developed a prototype well log database using Python programming, facilitating better data access and management. Verónica holds a master’s degree in petroleum geophysics from NTNU, focusing on reservoir characterization for CO2 storage, and they have significant experience in the petroleum industry, primarily working as a seismic interpreter and velocity model builder at PGS. Their prior roles include research assistant and technical support, demonstrating a strong background in geophysics and project management.