{getToc} $title={Table of Contents}
Summary
Foundation models, also known as large models, have demonstrated outstanding performance in various disciplines and are being applied to geophysics. Geophysical foundation models (GeoFMs) can be trained on vast amounts of multimodal geophysical data and have the potential to revolutionize the field of geophysics.
Highlights
- Foundation models have achieved great success in various fields, including natural language processing, image segmentation, and video processing.
- GeoFMs can be applied to multiple subfields within geophysics, including remote sensing, seismology, and atmospheric science.
- The development of GeoFMs faces challenges, including data scarcity, task complexity, and high reliance on physical principles.
- Two strategies for developing GeoFMs are transferring existing foundation models and training GeoFMs from scratch.
- GeoFMs have the potential to address geophysical tasks such as data processing, data interpretation, and tasks that traditionally depend on empirical knowledge and expert intervention.
- The integration of complex physical theories into GeoFMs is a critical area for future research.
- The development of GeoFMs is still in its initial stage, and future directions include transferring existing foundation models and training GeoFMs from scratch.
Key Insights
- Foundation models have the potential to revolutionize the field of geophysics by providing a new approach to analyzing and interpreting multimodal geophysical data.
- The development of GeoFMs requires large amounts of diverse and high-quality data, which can be a challenge due to the limited availability of open-source geophysical data.
- GeoFMs can be applied to a wide range of geophysical tasks, including seismic data processing, imaging, and interpretation, and have the potential to partially replace traditional methods.
- The integration of complex physical theories into GeoFMs is a critical area for future research, as it will enable the development of more accurate and reliable models.
- The development of GeoFMs is still in its initial stage, and future directions include transferring existing foundation models and training GeoFMs from scratch.
- GeoFMs have the potential to address the challenges of data scarcity and task complexity in geophysics by providing a new approach to analyzing and interpreting multimodal geophysical data.
- The use of GeoFMs has the potential to transform the research paradigm in geophysics by providing a new approach to analyzing and interpreting multimodal geophysical data.
Mindmap
Citation
Liu, Q., & Ma, J. (2024). Foundation Models for Geophysics: Review and Perspective (Version 3). arXiv. https://doi.org/10.48550/ARXIV.2406.03163