Reduced-Order Modeling and Inversion for Large-Scale Problems of Geophysical Exploration

Reduced-Order Modeling and Inversion for Large-Scale Problems of Geophysical Exploration

Explore reduced-order modeling and inversion techniques for large-scale geophysical exploration problems in this comprehensive lecture. Delve into model-driven and data-driven reduced-order models (ROMs) developed for forward modeling and inverse problems in electromagnetic and seismic methods. Learn how these approaches enable real-time solutions and optimization-free inversion algorithms. Examine numerical examples demonstrating the advantages of these techniques over state-of-the-art algorithms. Gain insights from speaker Mikhail Zaslavsky of Schlumberger Doll Research on addressing challenges in geophysical exploration through innovative modeling approaches.