Geoscience data management can help reduce subsurface uncertainty

When modelling the subsurface as geoscientists and engineers, we work with multiple sources of data to ensure we best understand and mitigate any uncertainty. Raw data such as wells and seismic are key to improving our understanding of the subsurface, but we also rely on previous projects, interpretations and models to help fast track our knowledge. But what if these add to our uncertainty, with projects of unknown provenance requiring time to find, understand and review, and with mis-loaded or otherwise incorrect data negatively influencing our models?