This study addresses the challenges in logging evaluation of the Saling Formation reservoirs in Block X of the Songliao Basin, where the outdated logging suite lacks NMR data and exhibits significant discrepancies in measured parameters. Fundamental curves such as natural gamma ray, lateral resistivity, and acoustic time difference are absent in partial wells, imposing substantial limitations on reservoir evaluation. Through analyzing the correlations among lithology, physical properties, oil-bearing characteristics, and electrical responses, calculation models for mineral components (shale/calcium contents) were established. Additionally, porosity, permeability, and original water saturation models were constructed for different logging series, adapted to various logging series. Physical property thresholds for effective thickness (porosity ≥20%, permeability ≥4×10^-15 m²) and electrical property boundaries were determined using oil testing and oil occurrence methods, enabling reservoir classification into Types Ⅰ, Ⅱ, and Ⅲ. Results demonstrate that micro-potential resistivity can effectively substitute for natural gamma ray in mineral component calculation. The sweet spot area identified by multi-parameter overlay reaches 23.14 km², providing a scientific basis for sweet spot optimization and well location deployment. This research establishes a systematic logging evaluation framework to overcome data scarcity, offering practical guidance for similar reservoir exploration in mature oil basins.