Application of full set of two point correlation functions from a pair of 2D cut sections for 3D porous media reconstruction

In this study, the corrosion behavior of biodegradable composites is modeled. These composites are made of Poly-Lactic acid and Magnesium with different volume fractions. The scanning electron microscopy images of these composites were taken, and statistical reconstruction of the composite based on scanning electron microscopy images was done by the phase recovery algorithm, the three-dimensional structure of this composite was extracted with this reconstruction, then a three-dimensional cellular automata model was developed to predict the corrosion of this composite. Results of experiments for the composite with 10% of Magnesium volume fraction were used to calibrate the parameters of the cellular automata model, and with these parameters, the results for the composite with 5% of Magnesium volume fraction was obtained, and with comparing these data with the results of the experiment, our model was validated. In the end, we estimated the mechanical properties of these composites and analyzed the results.

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“…More detailed information of the reconstruction procedure can be found in our Previous publications. 30,37…”

Section: Numerical Modelingmentioning

confidence: 99%

Computational modeling of degradation process on the mechanical performance of Poly-lactic acid /Magnesium composite

Shahmohmmadi

Baghani

Panahi

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…This function can characterize the spatial distribution of the system. Many scholars considered the use of this function in the establishment of digital cores with different lithologies at different scales [201][202][203][204]. In 1992, Lu and Torquato proposed a linear path function that calculates the probability that all voxel points will be in phase with any voxel point at a distance r [205].…”

Section: Trends and Challenges Of Reconstructing 3d Digital Coresmentioning

confidence: 99%

Challenges and Prospects of Digital Core-Reconstruction Research

et al. 2019

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The simulation of various rock properties based on three-dimensional digital cores plays an increasingly important role in oil and gas exploration and development. The accuracy of 3D digital core reconstruction is important for determining rock properties. In this paper, existing 3D digital core-reconstruction methods are divided into two categories: 3D digital cores based on physical experiments and 3D digital core stochastic reconstructions based on two-dimensional (2D) slices. Additionally, 2D slice-based digital core stochastic reconstruction techniques are classified into four types: a stochastic reconstruction method based on 2D slice mathematical-feature statistical constraints, a stochastic reconstruction method based on statistical constraints that are related to 2D slice morphological characteristics, a physics process-based stochastic reconstruction method, and a hybrid stochastic reconstruction method. The progress related to these various stochastic reconstruction methods, the characteristics of constructed 3D digital cores, and the potential of these methods are analysed and discussed in detail. Finally, reasonable prospects are presented based on the current state of this research area. Currently, studies on digital core reconstruction, especially for the 3D digital core stochastic reconstruction method based on 2D slices, are still very rough, and much room for improvement remains. In particular, we emphasize the importance of evaluating functions, multiscale 3D digital cores, multicomponent 3D digital cores, and disciplinary intersection methods in the 3D construction of digital cores. These four directions should provide focus, alongside challenges, for this research area in the future. This review provides important insights into 3D digital core reconstruction.

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“…In order to obtain spatial structural information to flow simulation, twopoint correlation function (e.g. variogram or covariance) or multiple-point statistics algorithms were developed for pore space reconstruction from geometrical properties in 2D images (Okabe and Blunt, 2005;Hajizadeh et al, 2011;Comunian et al, 2012;Xu et al, 2012;Izadi et al, 2017a). In addition to the pore structure, the distribution of pores and solid particles also affects the rocks transport capacity.…”

Section: Petrophysical Characterization Based On Thin Section Analysismentioning

confidence: 99%

Applications of digital core analysis and hydraulic flow units in petrophysical characterization

Chen

Zhou

2017

Adv. Geo-Energ. Res.

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Conventional petrophysical characterizations are often based on direct laboratory measurements. Although they provide accurate results, such measurements are time-consuming and limited by instrument and environment. What's more, in the georesource energy industry, availability and cuttings of core plugs are difficult. Because of these reasons, virtual digital core technology is of increasing interest due to its capability of characterizing rock samples without physical cores and experiments. Virtual digital core technology, also known as digital rock physics, is used to discover, understand and model relationships between material, fluid composition, rock microstructure and macro equivalent physical properties. Based on actual geological conditions, modern mathematical methods and imaging technology, the digital model of the core or porous media is created to carry out physical field numerical simulation. In this review, the methods for constructing digital porous media are introduced first, then the characterization of thin rock cross section and the capillary pressure curve using scanning electron microscope image under mixed wetting are presented. Finally, we summarize the hydraulic flow unit methods in petrophysical classification.Keywords: Digital core, porous media, petrophysical characterization, thin section, mercury injection capillary pressure.Citation: Chen, X., Zhou, Y. Applications of digital core analysis and hydraulic flow units in petrophysical characterization. Adv.

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Application of full set of two point correlation functions from a pair of 2D cut sections for 3D porous media reconstruction

Cited by 33 publications

References 53 publications

Computational modeling of degradation process on the mechanical performance of Poly-lactic acid /Magnesium composite

Computational modeling of degradation process on the mechanical performance of Poly-lactic acid /Magnesium composite

Challenges and Prospects of Digital Core-Reconstruction Research

Applications of digital core analysis and hydraulic flow units in petrophysical characterization

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