Applied math is the backbone of seismic imaging and analysis. It plays an essential and integral role throughout the various stages of the seismic workflow, to the extent that it is often taken for granted. We aim to bring together scientists, researchers, and professionals from both academia and industry to explore the latest advancements in applied mathematics and how these developments are shaping the field of seismic imaging and analysis. By focusing on cutting-edge mathematical techniques, attendees will gain insights into how innovations in computational mathematics, inverse problems, optimization, statistics, and machine learning are driving progress in seismic data processing, inversion, and interpretation.
Ideal presentations for this session should include both the thorough analysis of a mathematical technique and its practical applications to seismic problems. Potential topics include (but are not limited to):
1. Mathematical Foundations in Seismic Imaging:
o Solving inverse problems in seismic data processing.
o Fast inversion algorithms, optimization methods, and regularization techniques.
o Numerical solutions for wave propagation and interactions with geological structures
2. Computational Methods for Seismic Imaging:
o Novel approaches to formulating the inverse problem
o Perspectives on wave propagation from different mathematical spaces and frameworks.
o High-performance computing for large-scale seismic simulations.
3. Statistical methods in Seismic imaging and analysis:
o Bayesian and non-Bayesian approaches
o Stochastic inversion and characterization
o The role of geophysical and geological priors
4. Machine Learning and AI in Seismic Analysis:
o Application of deep learning models in seismic event detection and classification.
o AI-driven inversion techniques for enhanced subsurface imaging.
o Leveraging ML for rapid turnaround
5. Future Directions and Challenges:
o Next-generation techniques for seismic data acquisition and analysis.
o Integration of seismic imaging with other geophysical methods (e.g., electromagnetic, gravity).
o Emerging trends in computational mathematics for geophysics.