Advancements in Seismic Geophysics: Current Techniques, Challenges, and Future Prospects

Abstract

Geophysics is an intriguing scientific field that aims to comprehend the physical properties and phenomena of the earth, encompassing its deep structure, surface features, and more, using various techniques and tools. This abstract will provide an overview of the fundamental themes and topics within geophysics and highlight some of the cutting-edge research currently being conducted in the field. This article provides a comprehensive and up-to-date review of the increasing utilization of data-driven deep learning (DL) techniques in the field of geophysics, focusing on seismic inverse challenges such as the creation of velocity, impedance, and reflectivity models, as well as seismic bandwidth extension. The article covers the main areas of exploration geophysics, earthquakes, and remote sensing, and also highlights additional applications in the earth structure, water resources, atmospheric science, and space science. Moreover, the article addresses the challenges involved in applying DL in the geophysical community and analyzes recent trends in the field.