Shale oil facies identification method based on artificial intelligence and logging layered modeling

The invention relates to the technical field of oilfield development, in particular to a shale oil facies identification method based on artificial intelligence and logging layered modeling. The method comprises the following steps that a shale oil system coring well in a research area is selected, and a well logging sensitive curve is determined; rapidly identifying the fractured or organic-grain-rich layered bright crystal grey mudstone in the shale oil reservoir through a fuzzy clustering method; using the core to calibrate logging, establishing logging models of shale oil with different lithology in a layered manner, and judging the lithology in the shale oil reservoir; identifying a bedding structure; establishing a calculation model to predict the organic carbon content of the shale oil well in the research area, and distinguishing organic matter types; and shale oil lithofacies comprehensive discrimination is carried out. According to the method, the technical blank of identifying ...