Throughout the exploration and production life cycle, basin modeling is used to investigate and quantify risks associated with the petroleum charge in a basin. Varying levels of uncertainty associated with many of the model inputs can significantly impact the model’s results. Nowhere is this more relevant than in frontier basins where data are sparse and the geological framework is poorly constrained.
Featuring the frontier basin of the Zambezi Delta depression in East Africa, this webinar demonstrates how using sensitivity analysis to assess specific input uncertainties can provide a better understanding of qualitative risk in basin modeling.
Using sensitivity analysis on a basin-scale 3D model, the modeling combines regional data sets and interpretations to evaluate key petroleum system elements and capture uncertainty in frontier basins, thus applying a robust stratigraphic sequence approach that yields insights even in data-sparse areas.