The Devonian Duvernay Formation of the Western Canadian Sedimentary Basin is a hot topic in the energy sector due to the host of massive reserves in both liquid and gas hydrocarbons. There has been a considerable amount of exploration and active recovery within the formation, however very little research into the distribution and character of the organic matter within the Duvernay Formation. The Duvernay Formation is composed of organic-rich limestones and shales, with minor clastics and silica rich, deep-sea sediments. It has been hypothesised that there is a complex relationship between the distribution of organic matter within the Duvernay, and the surrounding Leduc Reef complexes, which act as reservoirs for oil generated in the Duvernay. The data presented as part of this abstract illustrates the use of trace element data (determined by ICP-MS) and organic and thermal parameters (determined by RockEval), to evaluate changes in depositional environment and resulting hydrocarbon production potential in the Duvernay Formation. A high-resolution data set (n ϭ 216) was analysed from two wells intersecting the Duvernay Formation for a interval of 48.0 m. The results were statistically evaluated using modified polytopic vector analysis (PVA) software. PVA analysis indicated strong associations between total organic carbon (TOC) and elemental enrichment of Mo, U, V and Re (R2 Ͼ 0.86), whilst kerogen type (Hydrogen Index (HI) / Oxygen Index (OI)) was strongly associated (R2 Ͼ 0.78) with enriched carbonate elements including Ca, Mg, Mn and Sr. Variations over depth of these elemental and organic parameters exhibit a change from reducing to oxidising conditions associated with increased clastic input and progression from Type I to Type II kerogen from the lower to upper Duvernay Formation. The isolation of specific trace elements from ICP-MS data provides a quantitative indicator of depositional environment and it's relationship with organic and thermal parameters within unconventional source rocks. The relationships between these variables provide valuable information that maybe integrated into geophysical data sets to interpret stratigraphic boundaries and changes in basin architecture over geological time.