CO₂-Induced Fracturing Effects on Coal Pore Adsorption-Desorption Characteristics and Fractal Features

1. Definition and Fundamental Principles

1.1 Technical Definition

CO₂-induced fracturing is a geochemical stimulation technique wherein supercritical or gaseous carbon dioxide is injected into coal seams under controlled pressure conditions, inducing micro-fracture networks within the coal matrix while simultaneously leveraging CO₂'s preferential adsorption on coal surfaces to displace adsorbed methane (CH₄). The study of CO₂-induced fracturing effects on coal pore adsorption/desorption characteristics and fractal features addresses the coupled petrophysical, thermodynamic, and mechanical responses of coal to CO₂ interaction at the pore-scale level.

1.2 Thermodynamic Basis

The fundamental driving force behind CO₂-induced fracturing in coal systems is the differential adsorption affinity between CO₂ and CH₄ on coal surfaces. CO₂ exhibits approximately 2–4 times higher adsorption capacity on coal compared to CH₄ under reservoir conditions, governed by the following principles:

1.3 Fractal Characterization Framework

Fractal analysis provides a mathematical framework for quantifying the complexity and heterogeneity of coal pore structures. The key fractal dimensions employed in this research include:

2. Category and Business Positioning

2.1 Technology Classification

This research entry falls under the category of geochemical stimulation and reservoir engineering technologies, which represents a strategic diversification capability for Cladding Technology Shanxi Co., Ltd. While the company's core competencies center on metallurgical bonding and weld overlay technologies, this research capability positions the organization within the broader energy materials and subsurface engineering domain, particularly relevant to Shanxi Province's extensive coalbed methane (CBM) resources.

2.2 Strategic Business Positioning

Dimension Description Strategic Value
Industry Sector Coalbed Methane / Enhanced Gas Recovery / Carbon Sequestration Aligns with national carbon neutrality goals and CBM development policies
Geographic Focus Shanxi Coalfield, Ordos Basin, Qinshui Basin Leverages local resource proximity and regulatory familiarity
Technology Maturity R&D / Pilot Phase (TRL 4–6) Early-stage IP development with high differentiation potential
Customer Segment State-owned coal enterprises, CBM operators, CCS project developers Access to large-scale government and SOE contracts

3. Technical Purpose and Value

3.1 Primary Technical Objectives

  1. Quantify CO₂-induced micro-fracture propagation mechanisms at the pore-scale level, establishing the relationship between injection parameters and resulting fracture network geometry.
  2. Characterize adsorption/desorption kinetics of CO₂ and CH₄ in coal samples subjected to varying fracturing intensities, providing data for reservoir simulation models.
  3. Establish fractal dimension correlations between pre-fracturing and post-fracturing pore structures, enabling predictive modeling of permeability evolution.
  4. Develop optimization criteria for CO₂ injection pressure, temperature, and rate parameters that maximize fracture network development while maintaining CO₂ retention for sequestration purposes.

3.2 Value Proposition

4. Key Process and Implementation Points

4.1 Experimental Methodology

Test Parameter Typical Range Measurement Instrument Purpose
CO₂ Injection Pressure 5–25 MPa High-pressure pump system Induce matrix fracturing at varying intensities
Injection Temperature 25–120°C Constant temperature bath Simulate reservoir thermal conditions
Injection Duration 24–720 hours Timer-controlled system Assess time-dependent adsorption and fracture development
Mercury Intrusion Pressure 0.01–400 MPa MIP Porosimeter Characterize pore size distribution
N₂ Adsorption Pressure 0.01–1.0 atm BET Analyzer Determine specific surface area and micropore volume
CT Scanning Voltage 80–200 kV Micro-CT Scanner 3D pore structure visualization and fractal analysis
Desorption Temperature 25–350°C TGA/Py-GC System Measure CO₂ and CH₄ desorption kinetics

4.2 Fractal Analysis Procedures

  1. Sample Preparation: Coal samples (typical dimensions: 25 mm × 25 mm × 25 mm) are prepared from target formations, with initial physical properties (moisture content, vitrinite reflectance, proximate/ultimate analysis) recorded per GB/T 483 and GB/T 212.
  2. Pre-Fracturing Characterization: Baseline pore structure is characterized using MIP (ASTM D4340), N₂ adsorption (ASTM D6033), and micro-CT scanning.
  3. CO₂ Induced Fracturing: Samples are subjected to controlled CO₂ injection under simulated reservoir conditions, with fracture initiation monitored via acoustic emission and pressure monitoring.
  4. Post-Fracturing Characterization: Repeat all pore structure measurements to quantify changes in pore volume, specific surface area, and pore connectivity.
  5. Fractal Dimension Calculation:
    • Box-counting method applied to 2D cross-sectional images from CT scans
    • FHH model applied to N₂ adsorption isotherms for surface fractal dimension
    • Box-counting applied to MIP curves for aperture fractal dimension
  6. Adsorption/Desorption Testing: CO₂ and CH₄ adsorption isotherms measured at multiple temperatures using volumetric or gravimetric methods per ASTM D4365.

4.3 Key Technical Relationships

Fractal Dimension-Permeability Correlation: The study establishes that the aperture fractal dimension (DA) correlates with coal permeability (k) through the relationship: k ∝ (DA − 2)α, where α is an empirical exponent dependent on coal rank and maceral composition. Post-CO₂ fracturing typically increases DA by 0.1–0.4 units, corresponding to permeability enhancement of 10–1000 times.

4.4 Critical Process Control Points

5. Applicable Standards and Acceptance Criteria

5.1 Testing Standards

Standard Number Title / Scope Application in This Research
GB/T 483 Analysis of proximate matter in coal Sample characterization (moisture, ash, volatile matter, fixed carbon)
GB/T 212 Determination of ash and volatile matter Proximate analysis of coal samples
GB/T 476 Determination of ash in coal Ash content measurement
ASTM D4340 Mercury porosimetry of coal Pore size distribution measurement
ASTM D6033 Gas adsorption analysis (N₂ BET) Specific surface area and pore volume
ASTM D4365 Coal gas adsorption isotherms CH₄/CO₂ adsorption capacity measurement
ASTM D4745 Coal gas permeability (steady-state) Permeability measurement pre/post fracturing
ASTM D5657 Coal gas desorption rate Desorption kinetics characterization
GB/T 10220 Coal classification by vitrinite reflectance Coal rank determination
ISO 27960 Coal — Determination of CO₂ adsorption CO₂ adsorption isotherm measurement

5.2 Acceptance Criteria

6. Common Risks and Controls

6.1 Technical Risks

Risk Category Description Mitigation Strategy
Sample Heterogeneity Natural variability in coal pore structure leads to scatter in fractal parameters Statistical sampling with n≥30; stratified sampling by coal rank and maceral composition
Mercury Contamination MIP testing involves toxic mercury exposure and environmental disposal challenges Implement mercury recovery systems per GB 15562.1; supplement with N₂ adsorption and CT data
Fracture Over-Development Excessive injection pressure causes sample fragmentation rather than controlled micro-fracturing Implement real-time pressure and AE monitoring with automated shutoff at threshold values
CO₂ Leakage High-pressure CO₂ systems pose asphyxiation and frostbite hazards Install CO₂ gas detection systems; maintain ventilation >6 air changes/hour; emergency response procedures per GBZ 2.1
Fractal Model Inadequacy Simple fractal models may not capture multiscale heterogeneity of coal pore networks Employ multifractal analysis and multi-point fractal dimensions; validate with 3D CT reconstruction

6.2 Quality Assurance Controls

  1. Instrument Calibration: All porosimeters, gas analyzers, and pressure transducers calibrated monthly per manufacturer specifications and JJF 1049 (Calibration of pressure instruments).
  2. Blank Testing: Inert gas (N₂) control experiments conducted for each batch to distinguish CO₂-specific effects from generic pressurization effects.
  3. Inter-Laboratory Comparison: Annual participation in round-robin testing programs for coal petrophysical measurements.
  4. Data Management: All raw data archived with full metadata (sample ID, location, depth, testing parameters) in accordance with GB/T 19001 quality management requirements.

7. Application Scenarios Across Company Technology Routes

7.1 TIG/MIG Weld Overlay Integration

While CO₂-induced fracturing research is fundamentally a geomechanical/petrophysical capability, it intersects with the company's weld overlay technology route in the following ways:

Application Component Recommended Overlay Standard Reference Key Requirement
Production tubing in CO₂-injected wells 309L/310L TIG overlay (2–3 passes) API 5CT, NACE MR0175/ISO 15156 Corrosion resistance in CO₂/H₂S environment
Downhole valves and fittings 312/316L MIG overlay ASME BPV Section VIII Pressure containment integrity under CO₂ exposure
Surface gathering lines 309L TIG overlay on carbon steel GB/T 12467, ASME B31.3 CO₂ dew point corrosion prevention
Wellhead equipment 316L/2205 duplex overlay API 6A, NACE MR0175 Combined mechanical strength and corrosion resistance

7.2 Hydraulic Explosive Bonding Integration

The hydraulic explosive bonding route can be leveraged for manufacturing specialized equipment used in CO₂ fracturing operations:

7.3 Explosion Welding Integration

Explosion welding technology contributes to the CO₂ fracturing domain through:

8. Contribution to Qualification Building, Product Delivery, and Customer Value

8.1 Qualification Building

  1. Technical Expertise Credential: Publication of research findings on CO₂-induced fracturing and fractal characterization establishes the company as a technically competent entity in coalbed methane and carbon sequestration domains, supporting qualification for government-funded CBM development projects.
  2. Cross-Disciplinary Integration: Demonstrates the company's ability to integrate metallurgical engineering (cladding, overlay) with petrophysical research, positioning it as a one-stop solution provider for CBM infrastructure materials and reservoir stimulation.
  3. Intellectual Property Development: Research findings can be developed into patents covering CO₂ fracturing optimization methods, fractal-based permeability prediction models, and integrated material-reservoir solutions.
  4. Compliance with National Standards: Research conducted per GB, ASTM, and ISO standards demonstrates the company's commitment to internationally recognized quality and testing methodologies.

8.2 Product Delivery Enhancement

8.3 Customer Value Creation

Customer Need Research Contribution Value Delivered
Maximize CBM recovery from deep, low-permeability reservoirs Optimized CO₂ fracturing parameters based on fractal pore characterization 15–35% recovery rate improvement; 2–5× permeability enhancement
Reduce equipment corrosion failures in CO₂-injected wells Corrosion environment characterization informing overlay/clad material selection 3–5× extension of equipment service life; reduced unplanned shutdowns
Meet carbon sequestration regulatory requirements Quantified CO₂ retention data and long-term storage capacity assessment Regulatory compliance; carbon credit eligibility; ESG performance improvement
Reduce reservoir modeling uncertainty Fractal dimension correlations with permeability and flow behavior More accurate production forecasts; optimized well spacing and completion design

9. Implementation Roadmap and Recommendations

9.1 Short-Term Actions (0–12 months)

  1. Establish formal research partnership with Shanxi University of Science and Technology or China University of Mining and Technology (Beijing) for coal petrophysics expertise.
  2. Acquire or lease high-pressure CO₂ injection test system (capacity: 30 MPa, 150°C) and micro-CT scanning facility.
  3. Conduct baseline characterization of 50+ coal samples from key Shanxi formations (Yan'an, Datong, Yangquan basins).
  4. File 2–3 invention patents covering CO₂ fracturing optimization methods and fractal-based reservoir characterization approaches.

9.2 Medium-Term Actions (12–36 months)

  1. Conduct pilot-scale CO₂ fracturing trials in partnership with CBM operators (e.g., Sinopec CBM, CNPC CBM) in the Qinshui Basin.
  2. Develop proprietary software for fractal-based permeability prediction and CO₂ fracturing optimization.
  3. Obtain relevant industry qualifications (e.g., CBM engineering service qualification) leveraging research credibility.
  4. Develop standardized material recommendations for CO₂-service equipment, backed by research data.

9.3 Long-Term Vision (36–60 months)

  1. Establish the company as a leading integrated solution provider for CBM development in North China, combining reservoir stimulation expertise with advanced materials engineering.
  2. Expand research to include CO₂-CH₄ co-production optimization, reservoir-scale fractal modeling, and long-term CO₂ storage integrity assessment.
  3. Develop proprietary testing and certification services for CBM equipment materials, leveraging the company's metallurgical testing capabilities.

10. Conclusion

The research on CO₂-induced fracturing effects on coal pore adsorption/desorption characteristics and fractal features represents a strategically significant capability extension for Cladding Technology Shanxi Co., Ltd. By integrating petrophysical research with the company's core metallurgical engineering competencies, this entry creates a differentiated value proposition in the rapidly growing CBM and carbon sequestration markets. The fractal characterization approach provides rigorous, quantitative tools for predicting reservoir behavior and optimizing material selection, directly enhancing both technical credibility and commercial competitiveness. Proper alignment with applicable standards (GB, ASTM, API, NACE, ISO) ensures that research outputs are internationally recognizable and directly applicable to engineering design and qualification requirements.