Abstract: A typical channel turbidite system is developed in the deep-water area of the Lower Congo Basin,West Africa,establishing this area as a significant target for deep-water oil and gas exploration.Turbidite bodies in this area are characterized by strong heterogeneity and a complex reservoir distribution.Traditional methods show limited turbidite body identification accuracy and reservoir prediction ability,failing to support efficient exploration.This study investigated the channel turbidite system in this area based on the deep-water gravity flow theory.It established feature identification models for four kinds of channel turbidites at different scales.The models integrate the turbidite depositional site,accommodation space geometry,internal turbidite characteristics,and the rock,log,and seismic facies obtained through drilling.Furthermore,guided by the principle of facies-controlled reservoir distribution,new composite elastic parameters were constructed based on an improved ray-path elastic impedance inversion method.These parameters provided enhanced resolution for turbidite sandstone reservoirs,enabling a quantitative prediction of such reservoirs.Validation with post-test wells demonstrates high accuracy and favorable application outcomes.Overall,this study serves as a foundational guide for oil and gas resource assessments and well placement in similar deep-water areas.