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This paper outlines a novel workflow for utilising hinterland datasets to predict reservoir quality and distribution in frontier exploration regions and applies this methodology to a case study in the Nile Delta. Geochemical data are intersected with drainage areas to derive first-order bulk chemical compositions. Drainage polygons are modified using thermochronological data and paleocurrent information to create paleo-drainage areas. Volume of denuded sediment is then estimated from uplift data and integrated with stratigraphies to verify the link between hinterland and offshore geology. Finally, inorganic geochemical data are used to predict the modal composition of sediment within key reservoir and seal horizons. The workflow presented utilises datasets otherwise overlooked (Figure 1) in the exploration process and reduces the reliance on more speculative inputs such as paleogeographic reconstructions and paleoclimate modelling. It provides quantitative predictions with percentage certainties, allowing explorers to understand the degree to which results can be relied upon. To demonstrate this workflow, we look at the offshore Nile Delta sediments in the Eastern Mediterranean. The Nile's vast hinterland is comprised of sediments derived from the Congo Craton and Saharan Metacraton, Cenozoic Flood Basalts and Phanerozoic sediments from the Ethiopian Highlands, and Phanerozoic sediments and Cenozoic carbonates from the Egyptian Red Sea Hills. Recent detrital studies on the offshore Nile Delta have shown the provenance of the Oligocene-to-Pleistocene sediments remained the same since the Rupelian, 31 Ma (Fielding et al., 2018). Fluctuations in the amount of mafic material recorded in the delta during the Oligocene and Pliocene versus the Miocene and Pleistocene have implications for discontinuous reservoir quality in the basin. Using the workflow outlined above and incorporating additional datasets and methods, we aim to quantify this variation in mafic sediments and its implications for predicting reservoir quality in the offshore Nile Delta. Figure 1 Global source to sink database coverage in the Petryx Data Lens.