High- resolution lithofacies model is an important basis for reservoir research, providing essential constraints for reservoir prediction and evaluation. However, such models are often lacking for volcanic rock reservoirs. This study addresses this gap by a facies- subfacies- microfacies classification scheme, building upon a pre- existing scheme with 5 facies and 15 subfacies. Utilizing this approach, we identified 3 facies, 4 subfacies, and 10 microfacies within the Mesozoic volcanic strata on the southern slope of the Laizhou Bay depression. These facies encompass eruptive, effusive, and volcano- sedimentary types. Within the eruptive facies, both pyroclastic flow and base surge subfacies can be further subdivided into crater- near crater, proximal, and distal microfacies. Similarly, the lava flow subfacies of effusive facies can be subdivided into simple lava flow and debris deposition microfacies. Finally, the avalanche subfacies of volcano- sedimentary facies can be subdivided into reworked massive and reworked matrix microfacies. Based on observations from boreholes, the subfacies can be arranged in descending order as follows: base surge subfacies of eruptive facies, lava flow subfacies of effusive facies, pyroclastic flow subfacies of eruptive facies, and avalanche subfacies of volcano- sedimentary facies. Volcanic strata exhibit complex lithofacies with overlapping relationships. This complexity, coupled with the limited lateral extent of subfacies units, presents challenges for correlation. Furthermore, the descending order of reservoir quality is base surge subfacies, pyroclastic flow subfacies, lava flow subfacies, and avalanche subfacies. The reservoir quality of proximal microfacies in base surge and pyroclastic flow subfacies, the upper zone of the simple lava flow in the lava flow subfacies, and the reworked massive deposition microfacies in the avalanche subfacies is relatively better. Among them, the reservoir quality of proximal microfacies in the base surge subfacies stands out as the most favorable. Relevant research results can provide a geological basis for volcanic rock reservoir prediction and evaluation.