Development of multi-physics data inversion software with optimization via artificial intelligence

The project proposes the development of an innovative inversion technology for the characterization and monitoring of deep water reservoirs using CSEM (Controlled-Source Electromagnetic Methods), a robust risk reduction tool in the drilling of oil basins, using multiphysics data in the 3D domain. One of the main objectives of this project is to develop, optimize and parallelize CSEM codes, aiming at improving their performance. The construction of inversion algorithms will also be performed, such as Deep Neural Networks (DNNs) trained to transform CSEM data into models.