In recent years, the rapid changes in social trends and technologies, such as digital transformation and energy transition, have had a large impact on many industries. Future forecasts and exploration of potential values become indispensable for dealing with such changes and achieving the success of novel research and/or business. In this paper, we discuss an approach to evaluate the diffusion of innovative technologies to other fields using the network data in academic articles citing a review paper. This study provides a case study of full waveform inversion as an example in exploration geophysics to demonstrate the effectiveness of the approach by using the Web of Science database. This analysis enables us to forecast the trend of technologies by analyzing the diffusion of the other technologies as well as full waveform inversion.
|Number of pages
|Published - 2023
|Third EAGE Digitalization Conference and Exhibition: Technology Driving Innovation for the Future - Londern, United Kingdom
Duration: 20 Mar 2023 → 23 Mar 2023
|Third EAGE Digitalization Conference and Exhibition
|20/03/23 → 23/03/23