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Enterprise AI Analysis: Global Research Progress and Strategic Synergy of Coal Pore Structure Under the Dual Carbon Goals: Engineering Practices vs. Theoretical Models

Enterprise AI Analysis

Global Research Progress and Strategic Synergy of Coal Pore Structure Under the Dual Carbon Goals: Engineering Practices vs. Theoretical Models

Against the backdrop of the global pursuit of carbon neutrality, research on coal pore structure has shifted from a single focus on coal mine safety to a dual orientation of hazard prevention and carbon sequestration, forming two distinct research directions worldwide. To clarify the evolutionary trajectory, research heterogeneity and integration paths of this field, this study systematically analyzes 722 core publications on coal pore structure from the CNKI and Web of Science core databases during 2015–2025, combining knowledge visualization analysis and systematic literature sorting (using CiteSpace as an auxiliary analysis tool). The results show that global research on coal pore structure has experienced three developmental stages (embryonic, developmental, and explosive growth) and entered an exponential growth phase after 2020, driven by the dual carbon goals. A clear research divergence has formed between regional engineering practices and international theoretical models: Chinese research is highly oriented to on-site coal mine engineering needs, focusing on the characterization of coal pore structure and its engineering application in gas extraction and outburst prevention of structural coal; international research prioritizes the theoretical exploration of carbon sequestration and CO2-ECBM, with core research on gas adsorption kinetics, multiphysics coupling mechanisms of coal pore structure, and numerical simulation of reservoir modification. This research disconnect between engineering practice and theoretical modeling has become a key bottleneck restricting the safe application of coal pore structure theory in carbon capture, utilization, and storage (CCUS) projects. To address this issue, a Safety-Sustainability Nexus framework is proposed, which integrates field-based mine safety protocols with theoretical carbon storage models, and realizes cross-scale validation from micro-scale pore characterization to field-scale engineering application. Further, this study points out that the cross-scale data fusion of artificial intelligence and machine learning is the core direction to bridge the gap between engineering practice and theoretical models. In future CO2-ECBM pilot projects, traditional gas outburst prevention indicators must be taken as mandatory safety thresholds to realize the dynamic matching of carbon injection parameters and coal reservoir stress sensitivity. This study sorts out the global research context and hotspots of coal pore structure, and provides a theoretical and practical reference for the synergy and integration of coal mine gas control engineering and carbon sequestration theoretical research under the dual carbon goals. CBM, coalbed methane; CNKI, China National Knowledge Infrastructure; WOS, Web of Science; CCUS, carbon capture, utilization, and storage; ECBM, Enhanced Coalbed Methane; CO2-ECBM, CO2-Enhanced Coalbed Methane.

Executive Impact & Key Metrics

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0 Total Publications (2015-2025)

Systematic analysis of 722 core publications reveals a field in rapid expansion, reflecting growing global attention.

0 China's Global Publication Share

China dominates research output, underscoring its pivotal role in global coal pore structure studies.

0 WOS Peak Publications (2025)

Reflects explosive growth driven by 'dual carbon' goals and an increasing international focus on carbon sequestration.

0 Key Developmental Stages

Research has evolved through embryonic, developmental, and explosive growth phases, with acceleration post-2020.

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Divergent Approaches to Coal Pore Structure

Analysis reveals a significant split in research priorities between Chinese domestic (CNKI) and international (WOS) studies. CNKI focuses on immediate operational safety and engineering applications, while WOS emphasizes theoretical models for long-term geological storage and carbon sequestration.

Aspect CNKI Database (Engineering Focus) WOS Database (Theoretical Focus)
Primary Orientation Immediate operational interventions, mine safety, CBM extraction, outburst prevention in tectonic coal. Theoretical foundations of long-term geological storage, adsorption kinetics, CO2-ECBM, numerical simulation, multiphysics modeling.
Key Methods Experimental characterization (fractal dimension, mercury porosimetry, NMR, CT scanning), engineering applications. Numerical simulations, multiphysics analysis (mechanical/seepage fields), reservoir modification.
Key Applications Gas extraction, outburst prevention of structural coal, coal mine safety. Carbon sequestration, CO2-Enhanced Coalbed Methane (CO2-ECBM), reservoir gas stimulation.
Evolutionary Trend Multi-process coupling driven by domestic industrial policies. Emphasis on fundamental science and reservoir engineering toward deep coal seam carbon sequestration.

Proposed Safety-Sustainability Nexus Framework

Bridging engineering reality and scientific vision through AI/ML-driven cross-scale validation for CCUS project implementation.

Engineering Practical Requirements (CNKI)
AI/ML & Data Fusion Center
Strategic Transition (WOS)

Global and Domestic Collaboration Dynamics

The global research network is characterized by a core-periphery structure, with specific countries and institutions leading the way, but with varying degrees of cross-institutional collaboration.

Core-Periphery Global Collaboration Structure

China, Australia, and the USA form the core, with China as the central hub, highlighting concentrated international partnerships and knowledge diffusion efficiency.

Weak Domestic Cross-Institutional Ties

Chinese institutions exhibit insufficient inter-institutional collaboration, presenting a potential barrier to in-depth research, contrasting with more extensive international networks.

Advancing Pore Characterization and Data Integration

Effective characterization of coal pore structure is paramount, requiring innovative methodologies that address the limitations of existing techniques, particularly for complex geological conditions and dynamic processes.

Advanced Coal Pore Characterization Methods

Traditional methods like mercury intrusion porosimetry (MIP) and low-temperature nitrogen adsorption (LTNA) provide accurate quantitative data but can damage fragile coal matrices or lack dynamic capability. Computed tomography (CT) offers non-destructive 3D visualization but lacks nano-pore resolution. Low-Field Nuclear Magnetic Resonance (NMR) stands out for its non-destructive, dynamic evaluation of fluid migration and matrix swelling during CO2 injection. Future characterization must integrate multi-scale, dynamic, and fluid-solid coupled approaches to overcome these limitations and effectively support carbon sequestration initiatives.

Diagram illustrating various coal pore structure characterization methods and their applications.

Future Research Directions and Strategic Imperatives

The field is evolving, demanding sophisticated integration tools and a safety-first paradigm for sustainable carbon management.

The research field is evolving towards complex simulation and sequestration, demanding advanced integration tools. To bridge the gap between theory and practice, Artificial Intelligence (AI) must evolve from a basic characterization tool into a platform for cross-scale validation. This involves reconciling micro-scale theoretical models with macro-scale field safety data. In future CO2-ECBM pilot projects, it's crucial to formally integrate traditional gas outburst prevention indicators (e.g., drill cuttings weight, gas desorption indices) as mandatory safety thresholds, ensuring carbon injection parameters are dynamically calibrated within the coal reservoir's stress sensitivity limits. This 'safety-first, capacity-optimized' approach is vital for sustainable carbon management.

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Your AI Implementation Roadmap

A structured approach to integrate AI for enhanced coal pore structure analysis and carbon sequestration strategies.

Phase 1: Diagnostic & Strategy Alignment

Conduct a comprehensive audit of current pore structure analysis workflows, data sources (CNKI, WOS, field data), and carbon management objectives. Define key performance indicators for both mine safety and CCUS integration.

Phase 2: Data Fusion & Model Development

Implement cross-scale data fusion techniques using AI/ML to integrate micro-scale pore characteristics with macro-scale field data. Develop predictive models for gas outburst risks and optimal CO2 injection parameters, incorporating stress sensitivity.

Phase 3: Pilot Implementation & Validation

Deploy AI-driven models in a pilot CO2-ECBM project. Validate predictions against real-world mine safety thresholds (e.g., drill cuttings weight, gas desorption indices) and monitor containment integrity under dynamic conditions.

Phase 4: Optimization & Scalable Deployment

Refine AI models based on pilot results, continuously optimizing carbon injection strategies and gas control measures. Scale the integrated Safety-Sustainability Nexus framework across broader operations, driving both efficiency and environmental goals.

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