@Article{CiCP-28-1,
author = {Ning, Liu and Li-Yun, Fu},
title = {Elastic Characteristics of Digital Cores from Longmaxi Shale Using Lattice Spring Models},
journal = {Communications in Computational Physics},
year = {2020},
volume = {28},
number = {1},
pages = {518--538},
abstract = {<p style="text-align: justify;">Effective medium methods for the attribution of micro-structures to macro
elastic properties of shales are important for the prediction of sweet spots in the shale-gas production. With X-ray micro-computed tomography (XMCT), the micro-structures
of shale core samples from Longmaxi Formation are visualized and characterized by
3D digital images. As an efficient alternative to conventional effective medium methods for estimating elastic properties, we propose a consistent workflow of lattice spring
modeling (LSM) to emulate the digital cores using three types of lattices. Particular
attention is paid to investigate the effective Young&#39;s moduli, Poisson&#39;s ratios, and preferred orientations, by uniaxial compression tests along two directions. Within elastic
deformation, the impact of lattice arrangements on the anisotropy is even more than
those of stress disturbances and micro-structural features. Compared with analytical
approximations and theoretical predictions, the LSM numerical scheme shows general
applicability for heterogeneous porous rocks.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2018-0085},
url = {https://global-sci.com/article/79690/elastic-characteristics-of-digital-cores-from-longmaxi-shale-using-lattice-spring-models}
}