Abstract
In this paper, a novel continuous reconstruction method is proposed to generate a numerical porous rock model that is statistically equivalent to natural rock. First, the spatial and mechanical properties of pore microstructures in rocks are obtained by computed tomography (CT) and triaxial compression tests. Then, the reconstructed rock models are generated based on the novel continuous reconstruction method. The generated rock models preserve the interest characteristics of the microstructures in rock. Compared with the exchange of discrete and isolated elements in our previous contributions, the microstructures are directly continuously reconstructed to form the reconstruction model. With the continuous approach, the natural rock sample can be efficiently represented by the reconstruction model on a large scale. We also consider reconstructing the anisotropic microstructures by different spatial correlation functions, such as the two-point probability function (TPPF), the lineal-path function (LPF), the fractal function (FF), and the two-point cluster function (TPCF). In addition, we introduce the percolating cluster volume (PCV) to improve the characterization capabilities of the proposed reconstruction method. The comparisons among the reference model, reconstructed model and rock samples show that the proposed continuous reconstruction method is able to reconstruct porous rocks while preserving mechanical and topological properties.
Published Version
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