Full waveform inversion (FWI) has become the dominant algorithm in velocity model building and high-resolution imaging. However, FWI is inherently ill-posed and a highly nonlinear algorithm. Limitations in acquisition such as spatial sampling, limited aperture, and noise as a function of frequency and offset lead to large uncertainties in the final model. Quantitively assessing the uncertainty could lead to more informed and risk-aware decisions about the inverted model and associated image. Nevertheless, quantification of uncertainty is a complex problem and has not become mainstream in model building and imaging workflows.

The half-day workshop will focus on presentations and discussions around the methods, assumptions, and practicality of uncertainty quantification in FWI. Some of the topics and questions to address in the workshop include:

• What are the most cost-effective approaches to quantify uncertainty in FWI and what are the assumptions made?
• Measuring uncertainty for multiparameter inversions
• Applications of uncertainty quantification in FWI projects
• Can we trust uncertainty measurements? Is well information always needed?
• How to QC and validate uncertainty quantification results?