Publications

The Abenaki Formation, located in the Scotian Basin, has been proven to produce hydrocarbons. This formation was formed as a carbonate platform during the Early Jurassic to Late Jurassic period and holds significant potential as a reservoir zone. Reservoir characterization is essential for understanding subsurface parameters, including lithology and fluid presence, both of which directly impact the reservoir’s economic value. One method for reservoir characterization is the inversion seismic, specifically the Extended Elastic Impedance (EEI) approach, which estimates the elastic properties of rocks or reservoir fluids. Sensitivity analysis of lambda-rho and mu-rho parameters, which show a strong correlation with EEI at angles -38 and -56 degrees, identifies these parameters as effective indicators for distinguishing between limestone and shale lithologies. These parameters were then inversed using seismic data. To enhance confidence in the inversion results and reduce the uncertainty in hydrocarbon predictions, Bayesian Classification is applied, providing probability distribution for data interpretation. The slicing of EEI inversion results indicates that the reservoir (limestone) predominantly extends from the north to the east, with additional occurrences in the south, interbedded with shale. Meanwhile, non-reservoir zones(shale) are mainly distributed from the southeast to the northwest. Bayesian classification further refines this interpretation by assigning probability values that align with the inversion results, showing that areas initially categorized as shale within the dominant reservoir zone or vice versa, exhibit probability variations ranging from 0% to 70%. This workflow enhances confidence in well placement and minimizes uncertainty in decision-making during the production phase.