Abstract: Shale oil in the upper member of Paleogene Lower Ganchaigou Formation (E₃²) in Ganchaigou area has been an exploration and development hotspot in Qaidam Basin. To overcome the difficulties in fluid identification caused by complex lithology, high-frequency vertical interbedding, diverse pore types, low TOC in shale intervals, and to explore the potential of two-dimensional nuclear magnetic resonance (2D NMR) in sweet spot evaluation, this study systematically conducted 2D NMR experiments on core samples under different conditions. Combined with logging data analysis, the distribution patterns of oil and water signals on the T₁-T₂ crossplots were identified. Core data was further used to calibrate the parameters of the SDR permeability model, establishing a permeability calculation model suitable for complex shale reservoirs. The results demonstrate that this method effectively resolves fluid identification challenges in complex shale oil reservoirs, significantly improves the accuracy of logging interpretation, and greatly enhances permeability calculation precision. High-precision two-dimensional nuclear magnetic resonance logging can play a key role in the evaluation of complex shale oil reservoirs, and this approach is worthy of promotion and application in similar shale oil reservoirs.