Despite tremendous progress in acquisition and processing techniques, geophysical data sets continue to carry uncertainty impacting the performance of processing, interpretation and subsurface property modeling workflows. This paper is a plea for consistent uncertainty quantification and propagation throughout successive geophysical workflows (“Uncertainty Management”), in view of maximizing the performance of geophysical workflows and the reliability of static/dynamic reservoir models.The authors first run through the mathematical framework applied to Uncertainty Management. They then provide an example on how to implement Uncertainty Management in a geophysical workflow: focus is on Gross Rock Volume (and P10, P50, P90 structural depth cases) computations in support of prospect ranking and discovery appraisal.