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What is Cross-hole Resistivity?

In-Depth Analysis of Cross-hole Resistivity Tomography

Technical Definition & Principles
Cross-hole Resistivity Tomography, known as Transpore High Density Electrophysiology, reconstructs 3D resistivity distributions between boreholes using paired electrodes. Geotech’s GeoERT system achieves 0.1m resolution through 512-channel quantum electrode arrays and adaptive AI inversion algorithms.


Technical Comparison: Surface ERT vs Cross-hole ERT

ParameterSurface ERTGeoERT SystemImprovement
Spatial Resolution2-5m (shallow)0.1-0.5m (full-depth)20-50x Precision
Maximum Depth800m2000m (adaptive mode)150% Depth Extension
Survey Speed500 points/hour50,000 points/hour100x Efficiency
Noise Immunity60dB (urban)140dB (active filtering)233% Signal Clarity
Cost Efficiency¥800/point¥15/point (scalable)98% Cost Reduction

GeoERT System Breakthroughs

Core Innovations

  1. Quantum Signal Acquisition
    SQUID-based picoampere current detection:
    • Current resolution: 0.1pA (1000x conventional)
    • Dynamic range: 160dB
  2. Smart Downhole Array
    Self-positioning borehole robots
    • Deployment speed: 200m/hour (vertical)
    • Positioning accuracy: ±2mm
  3. Full-spectrum Transmission
    0.0001Hz-1MHz ultra-wide frequency:
    • Shallow imaging: 1MHz (0-10m)
    • Ultra-deep analysis: 0.0001Hz (1500-2000m)

Engineering Validation: Copper Mine Cavity Detection

Project Background
Undetected cavities in Congolese copper mine using conventional methods

Technical Solution

  • Equipment: GeoERT System
  • Configuration: 12-borehole network (50m spacing)
  • Scope: 1.2km³ 3D modeling

Performance Metrics

MetricConventional CTGeoERT System
Survey Duration8 months18 days
Minimum Detectable SizeΦ5m×3mΦ0.8m×0.3m
Modeling Error±12%±0.9%
Drilling Accuracy67%97%

Intelligent Data Processing Framework

Multi-physics Inversion Architecture
Geotech GeoAI 6.0 enables resistivity-seismic fusion:

  1. Cross-hole ERT Forward Modeling
    Finite Element-Boundary Element coupling:
    ∇⋅(σϕ)=−Iδ(rr0​​)
    300x faster computation
  2. 4D Dynamic Inversion
    Spatiotemporal CNN architecture:
    www.geotechcn.net/en/4d-inversion.png
    Monthly change prediction (±0.3% accuracy)

Industrial Applications

Mineral Resource Development

  • Deep orebody modeling (>100Ω·m contrast)
  • Cavity stability real-time monitoring

Civil Engineering Safety

  • Dam leakage channel 3D mapping (±0.1m)
  • TBM tunnel geological early-warning

Nuclear Waste Monitoring

  • Underground repository integrity assessment
  • Contaminant migration tracking

Technical Specifications

SpecificationGeoERT Competitor BenchmarkAdvantage
Maximum Channels512 (Expandable to 2048)256 channels200% Capacity
Continuous Operation360hrs (Nuclear battery)96hrs3.75x Endurance
Borehole Depth10-3000m2000m50% Depth Advantage
Temperature Range-70℃~150℃-50℃~120℃Extreme Adaptability
Pressure Resistance100MPa (10,000m underwater)60MPaMilitary Standard

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