CO2 storage capacity estimation under geological uncertainty using 3-D geological modeling of unconventional reservoir rocks in Shahejie Formation, block Nv32, China

Abstract Underground CO 2 storage is a promising technology for mitigating climate change. In this vein, the subsurface condition was inherited lot of uncertainties that prevent success project. Therefore, study aims to build 3D model under geological enhancing capacity in Shahejie Formation (Es1), Nv32 block, China. The well logs, seismic data, and data were used construction 3-D petrophysical models. target area focused on four units (Es1 × 1, Es1 2, 3, 4) Formation. Well logs utilized predict properties; lithofacies indicated are sandstone, shale, limestone. Also, interpretation demonstrated $$Es1$$ E s 1 reservoir exhibited high percentage porosity, permeability, medium net-to-gross ratios. static showed there lateral heterogeneities properties lithofacies; optimal rocks exist 4, units. Moreover, pore volume unit estimated from property models, ranging between 0.554369 10.03771 10 6 sm 3 , with total volumetric value 20.0819 Then, 100–400 realizations generated assessment. consequence, 200 determined as an solution capturing uncertainties. estimation formation ranged 15.6 207.9 9 t. This result suggests potential Formation,