Conference

EAGE Digital 2025 brings together experts from geosciences, engineering and data science to provide technical sessions on digital issues. The exhibition offers companies the opportunity to present innovative technologies and opportunities for digitalization in the energy industry and to meet decision-makers.

Future demand for oil and gas remains uncertain, making short-term, promising investments necessary. Digital technologies are critical to gaining valuable insights from data. The forum focuses on data, visualization and learning from the past and encourages active participation in discussions.

Our expert Mario Fernandez from »High Performance Computing« is presenting on »Residual Moveout Correction with Deep Learning Models«, which introduces a supervised deep learning approach to predict time offsets for RMO correction. The method relieves users of manual tasks and has been validated on both synthetic and field data.