A New Method for Mobility Logging Evaluation Based on Flowing Porosity in Shale Oil Reservoirs

Shale oil reservoirs differ from conventional in several aspects, including the sedimentary model, accumulation mechanism, and reservoir characteristics, which pose significant challenges to their exploration development. Therefore, identifying location of optimal spots is crucial for successful development shale reservoirs. Mobility, particularly low-permeability with nano-scale pores, a petrophysical property that determines plan. However, two-dimensional nuclear magnetic resonance (2D-NMR) expensive has limited applicability, although it can estimate mobility. Hence, great significance find precise method evaluating mobility using logging. In this paper, we propose new assessing based on free porosity derived difference flowing detected at different ranges logging, utilizing Maxwell conductivity model efficiency theory. Our study shows longitudinal-T2 (T1-T2) NMR logging accurately evaluate oil. This demonstrated by comparing processing results obtained our proposed those 2D-NMR laboratory experiments. The predicted well logs also show good agreement experimental results, confirming effectiveness reliability method. carries reference quality.