Abstract: It is of great significance to evaluate the petrophysical properties in shale oil reservoir, which can contribute to geological storage CO2. Two-dimensional nuclear magnetic resonance (2D NMR) technology has been applied to petrophysical characterization in shale oil reservoir. However, limitations of traditional 2D NMR (T1-T2 or T2-D) in detecting short-lived organic matter and the complexity of mineral compositions, pose NMR-based petrophysical challenges. The organic pores were assumed saturated oil and the inorganic pores were assumed saturated water, and the numerical algorithm and theory of T1-T2∗ in shale oil reservoir were proposed, whose accuracy was validated through T2, T1-T2 and T2∗ experiments. The effects of mineral types and contents on the T1-T2∗ responses were firstly simulated by the random walk algorithm, revealing the NMR response mechanisms in shale oil reservoir with complex mineral compositions at different magnetic field frequency (f). The results indicate that when the pyrite content is 5.43%, dwell time is 4 μs, the f is 200 MHz, and echo spacing is 0.4 ms, the T1-T2∗-based porosity is 2.39 times that of T1-T2-based porosity. The T2LM∗ is 0.015 ms, which is 0.015 times that of T2LM. The T1LM is 8.84 ms, which is 0.63 times that of T1LM. The T1-T2∗-based petrophysical conversion models were firstly created, and the foundation of petrophysical conversion was laid at different f.