f Quantifying Uncertainty in Reservoir Modelling

Understanding uncertainty in subsurface models plays a key role in decision making in the oil and gas industry. However, the most common applications today rely on ad-hoc methods for estimating uncertainty, applied uniformly across the subsurface. In this presentation, we discuss new methods for quantifying uncertainty across the subsurface. We show how this uncertainty can be used in various phases of the subsurface modeling workflow. We discuss the ways in which modern modeling software can help geoscientists construct and test geologic hypotheses, and quantify their impact on decision inputs such as reservoir volumes.