LAUSR

It is well known that shale formations exhibit multi-scale geological features such as nano-pores in formation matrix and natural fractures at multiple length scales [1]. The key challenge in unconventional reservoir simulations thus is how to preserve fine-scale information in coarse-scale reservoir simulations for correct production forecasting and reserve estimation [2]. In this paper, we present an upscaling workflow by coupling Molecular Dynamics (MD) simulation and lattice Boltzmann method (LBM) with digital rock reconstruction techniques to predict transport properties of natural gas in shales at different length scales. The proposed approach allows calculating macro-scale transport properties of natural gas in shales for unconventional reservoir simulations without losing critical fine-scale (nano-scale) information.