Fracture Development Patterns and Micro–Macrostructural Fractal Characteristics of Acid–Base Coal Samples
NATURAL RESOURCES RESEARCH(2024)
China University of Mining and Technology
Abstract
This study employed a comprehensive approach utilizing X-ray diffraction, scanning electron microscopy (computed), computed tomography (CT) three-dimensional scanning, uniaxial compressive testing, acoustic emission (AE), and digital image correlation to investigate the micromorphology, mechanical properties, macro–microscopic fractal characteristics, failure modes, and mineral composition changes in acid–base coal samples from underground reservoirs. The findings from this study indicate that, in acidic environments, calcite undergoes acidolysis to form calcium chloride (CaCl2), whereas kaolinite reacts with alkaline substances to produce albite (Na2Al2Si2O8). The average elastic modulus of the coal samples treated with strong acids or alkalis decreased by 51.08
MoreTranslated text
Key words
Underground reservoirs,Acidic and alkaline coal samples,CT scanning,Acoustic emission,Fractal dimension,Digital image correlation
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
ENERGY & FUELS 2024
被引用0
FRACTAL AND FRACTIONAL 2024
被引用0
WATER 2025
被引用0
Targeted Modification Effects of HCl Acidification on Methane Adsorption in Coal
ENERGY & FUELS 2025
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper