These processes have evolved to meet a number of criteria: (1) robustness and repeatability, (2) avoiding parallel workflows by integrating within existing practices, and (3) allowing most steps to be carried out by nonspecialist geophysicists.

Achieving robustness is also a prerequisite for making uncertainty estimates, which has many potential benefits: ranking the sources of uncertainty; validating our prediction models; providing a framework for integrating with other data types; and helping to understand the theoretical limits of seismic prediction.

In this talk, I’ll outline the concepts behind the main steps in the seismic characterization workflow and discuss approaches to uncertainty estimation.