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New Insights into Digital Rock Physics
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New Insights into Digital Rock Physics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 10 February 2025 | Viewed by 3082

Special Issue Editors

Dr. Hongyang Ni

E-Mail Website
Guest Editor
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China
Interests: digital rocks; multi-scale; pore structure; macroscopic characterization
Dr. Chengpeng Zhang

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Chongqing University, Chongqing, China
Interests: unconventional reservoirs stimulation; rock micromechanics; microproppants

Special Issue Information

Dear Colleagues,

As reservoir resources continue to be optimized, outstanding technical challenges urgently require the development and implementation of technologies and methodologies. Along with the development of digital imaging technology, the imaging and visualization of core material at the pore scale and the subsequent physical characterization can provide important insights into the properties of reservoir rocks. Digital imaging technology bridges multiple subjects, such as geology, physics, reservoir simulation, and machine learning. Over the past few decades, imaging, modeling, and quantification have made a significant influence on the academic community and are becoming important techniques to guide the relevant industrial developments. From a research perspective, the accurate acquisition of images, the precise identification and quantification of mineral composition and structure, and appropriate numerical modeling or direct macroscopic characterization methods are still challenging tasks. At the same time, machine learning is expected to further advance the industrial application of digital rock technology.

Therefore, this Special Issue aims to collect original research and comprehensive review papers to clarify the current state of the art, from the acquisition of images to the final characterization of reservoir properties. All relevant contributions are welcome.

Dr. Hongyang Ni
Dr. Chengpeng Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • rock physics
  • reservoir characterization
  • image segmentation methods
  • multi-scale
  • pore structure
  • digital rock analysis
  • machine learning
  • macroscopic characterization

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Published Papers (5 papers)

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Research

15 pages, 4340 KiB  
Article
A Study on the Attenuation Patterns of Underground Blasting Vibration and Their Impact on Nearby Tunnels
by Zhengrong Li, Zhiming Cheng, Yulian Shi, Yongjie Li, Yonghui Huang and Zhiyu Zhang
Appl. Sci. 2024, 14(22), 10651; https://doi.org/10.3390/app142210651 - 18 Nov 2024
Viewed by 426
Abstract
The natural caving method, as a new technique in underground mining, has been promoted and applied in several countries worldwide. The destruction of the bottom rock mass structure directly impacts the structural stability of underground engineering, resulting in damage and collapse of underground [...] Read more.
The natural caving method, as a new technique in underground mining, has been promoted and applied in several countries worldwide. The destruction of the bottom rock mass structure directly impacts the structural stability of underground engineering, resulting in damage and collapse of underground tunnels. Therefore, based on the principles of explosion theory and field monitoring data, a scaled three-dimensional numerical simulation model of underground blasting was constructed using LS-DYNA19.0 software to investigate the attenuation patterns of underground blasting vibrations and their impact on nearby tunnels. The results show that the relative error range between the simulated blasting vibration velocities based on the FEM-SPH (Finite Element Method–Smoothed Particle Hydrodynamics) algorithm and the measured values is between 7.75% and 9.85%, validating the feasibility of this method. Significant fluctuations in blasting vibration velocities occur when the blast center increases to within a range of 10–20 m. As the blast center distance exceeds 25 m, the vibration velocities are increasingly influenced by the surrounding stress. Additionally, greater stress results in higher blasting vibration velocities and stress wave intensities. Fitting the blasting vibration velocities of various measurement points using the Sadovsky formula yields fitting correlation coefficients ranging between 0.92 and 0.97, enabling the prediction of on-site blasting vibration velocities based on research findings. Changes in propagation paths lead to localized fluctuations in the numerical values of stress waves. These research findings are crucial for a deeper understanding of underground blasting vibration patterns and for enhancing blasting safety. Full article
(This article belongs to the Special Issue New Insights into Digital Rock Physics)
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18 pages, 9341 KiB  
Article
Comparison of Different Additives and Ages on Mechanical and Acoustic Behavior of Coal Gangue Cemented Composite
by Meng Xiao
Appl. Sci. 2024, 14(22), 10418; https://doi.org/10.3390/app142210418 - 12 Nov 2024
Viewed by 448
Abstract
Cemented backfill represents a significant trend in mine filling methods; however, it often exhibits high brittleness and limited resistance to failure, which can restrict its practical application. This study investigates the mechanical properties and damage evolution of fiber-reinforced coal gangue cemented materials (CGCMs) [...] Read more.
Cemented backfill represents a significant trend in mine filling methods; however, it often exhibits high brittleness and limited resistance to failure, which can restrict its practical application. This study investigates the mechanical properties and damage evolution of fiber-reinforced coal gangue cemented materials (CGCMs) at various curing times using uniaxial compressive tests, acoustic emission (AE) analysis, and scanning electron microscopy (SEM). Specimens were created with different fillers, including carbon fibers (CFs), steel fibers (SFs), and carbon black (CB), and subjected to uniaxial compression until failure. Control specimens without fillers were also tested for comparison. The microstructure of the specimens was examined using scanning electron microscopy (SEM). The findings indicate that (1) the compressive strength of filler-reinforced CGCMs increases between 7 and 14 days of curing but decreases thereafter, with CB significantly improving early-age strength; (2) specimens reinforced with CFs and SFs exhibit significantly enhanced toughness in their post-cracking response; (3) AE events during specific stages can effectively identify the reinforcing effects of CFs and SFs; (4) the presence of fillers improves resistance to shear cracks, with CFs and SFs being more effective than CB; and (5) adding CB results in a denser and more stable hydration product structure, while CFs and SFs lead to a more porous structure with increased cracking. Full article
(This article belongs to the Special Issue New Insights into Digital Rock Physics)
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17 pages, 2371 KiB  
Article
A Novel Visual System for Conducting Safety Evaluations of Operational Tunnel Linings
by Yuhao Jin, Shuo Yang, Hui Guo, Lijun Han, Shanjie Su, Hao Shan, Jie Zhao and Guixuan Wang
Appl. Sci. 2024, 14(18), 8414; https://doi.org/10.3390/app14188414 - 19 Sep 2024
Viewed by 566
Abstract
Based on the lining structure of an operational tunnel, the AHP and Fuzzy mathematical models were used to determine the weight of the evaluation index and solve the membership matrix. The weighted-average Fuzzy comprehensive function was used to combine the two, and the [...] Read more.
Based on the lining structure of an operational tunnel, the AHP and Fuzzy mathematical models were used to determine the weight of the evaluation index and solve the membership matrix. The weighted-average Fuzzy comprehensive function was used to combine the two, and the Fuzzy–AHP evaluation model was built and programmed. According to the self-developed Fuzzy–AHP evaluation-programmed model, a visualized structure safety evaluation system for operational tunnels was developed by using MATLAB. The system’s functional design, program development, and computational visualized interface were implemented, and key codes were provided. The system can be divided into four modules: data management, fuzzy computation, predictive analysis and key disease indexes to focus on. In addition, the system can easily edit and modify the evaluation function, which includes not only the Fuzzy evaluation but also other types of evaluation functions applicable to other practical engineering projects, improving the applicability of the system. After that, the system was applied to the structure safety evaluation of a mountain tunnel, which provided the evaluation results and key indexes to focus on in the tunnel. Finally, the rationality of the system design was verified by constructing the corresponding BP–RBF combined neural network. This study provides a reference for the establishment of an intelligent structure safety warning system for operational tunnels. Full article
(This article belongs to the Special Issue New Insights into Digital Rock Physics)
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15 pages, 17766 KiB  
Article
Experimental Investigation on Failure Characteristics of Pre-Holed Jointed Rock Mass Assisted with AE and DIC
by Xiaoming Yan, Yixing Liu, Shuo Yang, Yuhao Jin and Miao Chen
Appl. Sci. 2024, 14(17), 7655; https://doi.org/10.3390/app14177655 - 29 Aug 2024
Cited by 1 | Viewed by 538
Abstract
For jointed rock mass with anisotropy and discontinuity, the structure of the surrounding rock is constantly developing and changing during tunnel excavation. It is difficult to reasonably predict localized deformation of jointed rock mass by using the existing rock mechanics theory. In this [...] Read more.
For jointed rock mass with anisotropy and discontinuity, the structure of the surrounding rock is constantly developing and changing during tunnel excavation. It is difficult to reasonably predict localized deformation of jointed rock mass by using the existing rock mechanics theory. In this paper, the failure characteristic of pre-holed jointed rock mass with three joint angles is experimentally investigated by adopting the digital image correlation and acoustic emission methods. To avoid the influence of measurement error on Digital Image Correlation (DIC) from discontinuous deformation, parametric studies and an optimized algorithm are also included in DIC tests. Results indicate that the perpendicular-jointed condition (0° joints) is the most dangerous situation because of its comparatively lower strength and brittle failure mode with a shift energy release. For rocks with different jointed angles, localized deformation emerges after the material enters the plasticity. Significant localization occurs after the failure with cracks surrounding the center hole and pre-existing joints. Full article
(This article belongs to the Special Issue New Insights into Digital Rock Physics)
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19 pages, 11455 KiB  
Article
The Influence of Grain Size Gradation on Deformation and the Void Structure Evolution Mechanism of Broken Rock Mass in the Goaf
by Fanfei Meng, Wang Liu, Hai Pu, Ming Li and Yanlong Chen
Appl. Sci. 2024, 14(15), 6764; https://doi.org/10.3390/app14156764 - 2 Aug 2024
Viewed by 626
Abstract
The high porosity and high specific surface area of the broken rock mass in abandoned mine goaf make it an excellent thermal storage space. The void structure is an important factor that affects the permeability characteristics of broken rock mass, which determines the [...] Read more.
The high porosity and high specific surface area of the broken rock mass in abandoned mine goaf make it an excellent thermal storage space. The void structure is an important factor that affects the permeability characteristics of broken rock mass, which determines the efficiency of extracting geothermal water from abandoned mine shafts. To accurately describe the void structure of broken rock mass, the effect of particle erosion on the fracture of rock blocks is considered in this study, based on which an impact-induced strength corrosion calculation model was proposed. Then, this calculation model was embedded into the three-dimensional numerical simulation of broken rock mass for secondary development. A discrete element numerical calculation model was established for broken rock masses with different size grading distributions under water immersion and lateral compression conditions. On this basis, considering the strength erosion effect of impacts, this study investigated the deformation and fracture characteristics of broken rock masses with different size grading distributions and analyzed the evolution laws of porosity in the broken rock masses. The main findings are as follows: The impact effect has a significant influence on the growth of microcracks and the breakage rate of broken rock mass. When the particle size of the broken rock mass differs significantly (size grading as G3), impact-induced strength erosion exerts the greatest impact on the growth of microcracks and the breakage rate. When the particle size of the broken rock mass is uniform (size grading as G1), impact-induced strength erosion minimally impacts the secondary fracturing of the broken rock mass. When the strain of the broken rock sample is less than 0.175, the distribution of microcracks is scattered; when the strain reaches 0.275, microcrack propagation accelerates and exhibits a clustered distribution; and when the strain reaches 0.375, microcracks exhibit a reticular distribution and their connectivity is enhanced. With the increase in deformation, the broken rock mass porosity decreases, and the porosity curve fluctuates along the z-axis with a decreasing trend and gradually becomes more uniform. This study provides a theoretical foundation for assessing the efficiency of extracting and storing mine water with heat in abandoned mine geothermal mining projects. Full article
(This article belongs to the Special Issue New Insights into Digital Rock Physics)
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