Key Takeaways & Executive Findings
- •• A THMD coupling model for LN2 fracturing coal was developed, incorporating coal heterogeneity and nitrogen thermophysical parameters, and validated against experimental data. • During LN2 fracturing, coal permeability and damage increase exponentially while temperature decreases exponentially. • Longer pre-cooling times expand the damage range and enhance fracture propagation, while reducing and stabilizing initiation and rupture pressures. • Higher horizontal stress ratios cause fractures to preferentially extend along the maximum horizontal principal stress direction, significantly lowering initiation and rupture pressures (by up to 48.07% and 41.36%, respectively).
Abstract
To more accurately describe the coal damage and fracture evolution law during liquid nitrogen (LN2) fracturing under true triaxial stress, a thermal–hydraulic-mechanical-damage (THMD) coupling model for LN2 fracturing coal was developed, considering the coal heterogeneity and thermophysical parameters of nitrogen. The accuracy and applicability of model were verified by comparing with LN2 injection pre-cooling and fracturing experimental data. The effects of different pre-cooling times and horizontal stress ratios on coal damage evolution, permeability, temperature distribution, and fracture characteristics were analyzed. The results show that the permeability and damage of the coal increase exponentially, while the temperature decreases exponentially during the fracturing process. As the pre-cooling time increases, the damage range of the coal expands, and the fracture propagation becomes more pronounced. The initiation pressure and rupture pressure decrease and tend to stabilize with longer pre-cooling times. As the horizontal stress ratio increases, fractures preferentially extend along the direction of maximum horizontal principal stress, leading to a significant decrease in both initiation and rupture pressures. At a horizontal stress ratio of 3, the initiation pressure drops by 48.07%, and the rupture pressure decreases by 41.36%. The results provide a theoretical basis for optimizing LN2 fracturing techniques and improving coal seam modification.
1. Introduction
Coalbed methane (CBM) is natural gas contained in coal seams and is a clean and efficient energy resource [1,2]. The efficient development of gas resources is critical for maintaining global energy security [3]. Most deep coal seams typically exhibit poor permeability, strong gas adsorption capacity, high resistance to desorption and seepage, making conventional borehole unsatisfactory for extraction and production of CBM [4,5]. The application of conventional hydraulic fracturing has significantly increased CBM production [6,7]. However, water intrusion into coal seams can cause mineral swelling, thereby further reducing CBM flow capacity [8,9]. To mitigate the drawbacks of conventional hydraulic fracturing, several water-free fracturing technologies have been developed, including gas fracturing, LCO2 (Liquid carbon dioxide) fracturing, foam fracturing, and cryogenic liquefied gas fracturing [10].
Liquid nitrogen (LN2) has gained significant attention as an innovative water-free fracturing fluid because of its capacity to enhance fracture complexity and lower rupture pressure [11]. McDaniel et al. [12] were the first to successfully apply LN2 in shale fracturing, thereby demonstrating its feasibility. Grundmann et al. [13] conducted a field tests of LN2 fracturing of the Devonian shale in Kentucky, USA. Sequentially, extensive experimental studies have demonstrated the potential benefits of LN2 fracturing [14]. At present, most researches have focused on experimentally revealing the effects of LN2 fracturing on coal properties. During the LN2 fracturing process, microfractures in coal extend and propagate under the combined effects of thermal stress, pore pressure, and the expansion force of LN2 vaporization [15]. The coal mechanical properties decrease accordingly, impacting parameters such as mechanical strength, porosity, permeability, and thermal conductivity [16].
Loading authentic research manuscript (Pages 1–5)...
LI Botao, LIN Haifei, WEI Jianping, ZHANG Hongtu, LI Shugang, WEI Zongyong, QIN Lei, WANG Pei, LUO Rongwei, LIU Zeran (2024). Investigation on coal damage and fracture extension law of liquid nitrogen injection pre-cooling and fracturing under true triaxial stress. SinoTechIntel Verified Research. https://doi.org/10.1016/j.ijmst.2024.12.013
Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoTechIntel are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.
Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoTechIntel claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.
Frequently Asked Questions
What is the main objective of this study?
The main objective is to develop a thermal-hydraulic-mechanical-damage (THMD) coupling model to accurately describe coal damage and fracture evolution during liquid nitrogen (LN2) fracturing under true triaxial stress, and to analyze the effects of pre-cooling time and horizontal stress ratio on fracture behavior.
How was the THMD model validated?
The model was validated by comparing its predictions with experimental data from LN2 injection pre-cooling and fracturing tests, confirming its accuracy and applicability.
What are the key findings regarding pre-cooling time?
Longer pre-cooling times expand the damage range and enhance fracture propagation, while initiation and rupture pressures decrease and tend to stabilize.
How does horizontal stress ratio affect fracturing?
As the horizontal stress ratio increases, fractures preferentially extend along the direction of maximum horizontal principal stress, leading to significant decreases in initiation and rupture pressures. At a ratio of 3, initiation pressure drops by 48.07% and rupture pressure by 41.36%.
What is the practical significance of this research?
The results provide a theoretical basis for optimizing LN2 fracturing techniques and improving coal seam modification for enhanced coalbed methane extraction.
Related Technical Papers & Translations
A Novel Approach for Enhanced Brain Tumor Segmentation Using Multimodal MRI and Deep Learning
Brain tumor segmentation from multimodal MRI is crucial for diagnosis and treatment planning. In this study, we propose a novel deep learning framework that integrates structural and functional imaging modalities to improve segmentation accuracy. Our method employs a multi-scale attention mechanism and a hybrid loss function to handle class imbalance and boundary ambiguity. Evaluated on the BraTS benchmark, our approach achieves state-of-the-art performance, with Dice scores of 0.91, 0.87, and 0.84 for whole tumor, core, and enhancing tumor, respectively. Furthermore, we demonstrate the generalizability of our model across different scanners and protocols. Our findings suggest that the proposed method can significantly aid clinical decision-making and surgical planning.
Investigation of coupled acoustic and electrical responses and early warning approaches during re-loading of damaged coal
Initial damage from engineering disturbances in deep coal mining degrades mechanical properties and heightens dynamic-hazard risks, challenging conventional monitoring. This study probes the coupled acoustic-electrical responses of initially damaged coal under reloading and develops a multi-parameter, multi-level dynamic integrated early-warning model. Using a true-triaxial Split Hopkinson Pressure Bar (SHPB) system, we prepared specimens with graded damage by varying static deviatoric stresses and dynamic impacts. Uniaxial compression reloading was conducted with synchronous acoustic emission (AE) and resistivity monitoring. Joint time-domain responses of force, acoustics, and electricity delineated distinct loading stages. Time-frequency features were extracted via Fourier and wavelet transforms; crack architecture was quantified by 3D AE localization and fractal-dimension analysis. Initial damage markedly reduced load-bearing capacity. Resistivity decreased sharply with increasing deviatoric stress, while cumulative AE counts increased strongly. The AE spectrum evolved from bimodal to broadband with low- and high-frequency enhancement. The resistivity spectrum showed progressive bandwidth broadening, energy amplification, and high-frequency advancement. The AE spatial fractal dimension rose significantly during compaction. An integrated warning system combining multiscale entropy fusion, Temporal Convolutional Network (TCN)-Transformer forecasting, recurrence-network analysis, and a Bayesian framework yielded a 28.4 s lead time, offering a theoretical basis and technical pathway for intelligent prevention of dynamic hazards.
Influence of aggregate particle size on fracture behavior and energy evolution of cemented rockfill in the post-peak stage
Cemented rockfill (CRF) combines structural support with sustainable reuse of coal-derived solid waste. This study integrates digital image correlation, acoustic emission monitoring, and finite–discrete element simulations to investigate mechanical behavior, fracture development, and energy evolution of CRF containing 54% aggregate content with three grain-size distributions (5–10, 10–20, and 20–30 mm). Results indicate finer aggregates raise compressive strength and elastic modulus, and increase post-peak softening and residual stiffness. Fracture patterns transition from dominantly unidirectional failure in coarse specimens to pronounced X-shaped conjugate shear in fine specimens, with cracks initiating at boundaries and propagating inward. The proportion of failed joints at comparable strains decreases markedly with finer gradation, reflecting a more homogeneous crack network that enhances post-peak load retention and produces frequent minor stress fluctuations. Energy analyses reveal a coarse > medium > fine ordering in cumulative dissipation; however, finer aggregates delay rapid kinetic and dissipative energy release, promoting slower energy redistribution and improved load resistance. These findings quantify how aggregate gradation controls deformational mechanisms, crack topology, and energy partitioning, and provide design guidance for optimizing aggregate size and cementitious composition to enhance ductility, energy absorption, and structural reliability of CRF in underground engineering.