Abstract: It is considered that both lithology and macro-structure directly affect the properties of shale such as physical property, electrical property, oil-bearing property, brittleness, source rock characteristics, and geostress anisotropy, which are closely related with the distribution of shale oil sweet spots. The paper targets at the shale oil in the upper Member of Xiaganchaigou Formation in Yingxiongling structural belt of Qaidam Basin, and proposes a new method of lithofacies identification by combining the macro-structures and mineral facies based on a large number of core descriptions, as well as in-depth processing and interpretation of electrical imaging and elemental full spectrum logging data. The main technical connotation is explained as below. (1)The lamina index method is proposed to quantitatively evaluate the lamina development degree by combining the dynamic and static electrical imaging logging images, and the classification criteria of macro-structures are established. The confidence parameter is introduced to optimize the method, which makes the classification results more consistent with the detailed core descriptions, and the coincidence rate range from 89 % to 92 % . (2)Based on the mineral content precisely calculated using elemental full spectrum logging, a blind source clustering method is used to establish a classification standard of mineral facies, avoiding the subjectivity of mineral content classification standards and improving the rationality of classification results. (3)The quantitative classification standard for lithofacies combining macro-structures with mineral facies is established according to the lithofacies category of the target block. Kerogen organic carbon content and effective porosity are selected as sensitive parameters to evaluate favorable source rock facies and reservoir facies respectively, and favorable lithofacies are selected based on the source-reservoir coupling relationship. The practical application of the above method in Yingxiongling shale oil exploration and evaluation has effectively guided the optimization of oil and gas sweet spots, and the oil test results have also confirmed the optimized target of favorable lithofacies.