Technology
Four Technologies, One Integrated Platform
Each technology provides an independent line of evidence about the subsurface. When multiple methods converge on the same target, exploration risk drops dramatically. Our platform integrates all four into a unified decision framework.
Helium-DRI
Primary Detection
PMRI
Density Validation
Passive Seismic
Structural Validation
FrostWell AI
Production Optimization
Helium-DRI
Reading the Reservoir's Natural Exhaust from the Surface
Helium-DRI is a surface geochemistry technology that measures naturally migrating helium to directly detect subsurface accumulations of hydrocarbons, geothermal fluids, and critical minerals. Unlike seismic (which maps structure), Helium-DRI detects the presence of the resource itself.
How It Works
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Helium migrates vertically through the earth as a noble gas — it does not react chemically or get trapped by cap rocks in the same way hydrocarbons do.
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By measuring surface helium flux patterns, Helium-DRI maps the subsurface footprint of hydrocarbon accumulations, geothermal upwelling, and mineralized zones.
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Survey data is processed through proprietary models that separate background geological helium from anomalous signatures associated with economic targets.
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Results are integrated with geological and geophysical data to produce ranked prospect maps with confidence levels.
Key Capabilities
- Direct hydrocarbon detection (oil, gas, condensate)
- Geothermal reservoir mapping
- Critical mineral system identification
- Multi-resource discrimination from a single survey
Validation & Track Record
Independently vetted by Darcy Partners. Deployed in 220+ projects across 20 countries with a 90% repeat order rate. Validated against 3D seismic data and successful well results.
PMRI Mechanical
Passive Sensor Arrays That Map What Lies Below
Passive Mechanical Response Inversion (PMRI) deploys low-cost sensor networks that passively record Earth's mechanical response to detect subsurface density anomalies. The technology provides multiple independent data streams from a single deployment — no drilling, no active sources, no permits required.
How It Works
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Compact accelerometer sensors are deployed across the survey area in a grid pattern, recording continuously for days to weeks.
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Raw data is processed to extract density anomalies, tidal responses, spectral signatures, and ambient noise cross-correlations.
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Multiple analysis modules run in parallel: density mapping, fault detection, mineral identification, porosity estimation, seismic velocity profiling, and more.
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Results are fused into 3D subsurface models with quantified confidence scores for each identified target.
Key Capabilities
- Density anomaly mapping (density contrasts at depth)
- Shear-wave velocity profiling via ambient noise interferometry
- Fault and fracture zone detection
- Porosity and fluid type estimation
- Three-component directional analysis
- Machine learning pattern classification
Validation & Track Record
Deployed across 12 surveys in 6 US states with 479 sensors. Cross-validated against known geology, well data, and independent geophysical methods. ML classifier achieves 100% accuracy across geological contexts.
Passive Seismic / MSR
Ambient Noise Reveals Subsurface Structure
Passive seismic and Micro-Seismic Recording (MSR) technologies use ambient Earth vibrations — ocean microseisms, traffic, wind — as a natural seismic source. No explosives, no vibroseis trucks. The same sensors used for PMRI mechanical analysis also record seismic data, providing a second independent data stream at no additional deployment cost.
How It Works
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Cross-correlation of ambient noise between sensor pairs extracts Green's functions — the seismic impulse response of the Earth between those sensors.
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Frequency-time analysis of the extracted waveforms yields Rayleigh wave dispersion curves.
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Dispersion curves are inverted for shear-wave velocity (Vs) profiles, revealing layered Earth structure from surface to kilometers depth.
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Velocity anomalies identify fluid zones, fault corridors, cap rocks, and competent basement.
Key Capabilities
- Shear-wave velocity (Vs) depth profiles
- Fault zone identification via velocity drops
- Cap rock detection via velocity spikes
- Basin-scale structural characterization
- Regional seismic at 50-130+ km baselines
Validation & Track Record
Completed across 12 surveys. Baker Hot Springs: cap rock at 839m independently confirmed salt dome. Scott Field: Ochoan dissolution zone at 400m. Cross-project regional seismic: 17,031 pairs at 97.5% success rate across 7 surveys.
FrostWell AI Simulation
Hybrid Physics-AI Reservoir Modeling
FrostWell is the world's first online AI-based hybrid oil field simulator. It combines proprietary physics models (INSIM) with machine learning and continuous real-field calibration to deliver accurate reservoir modeling, production forecasting, and optimization — without requiring 3D seismic cubes or traditional geological models.
How It Works
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The physics engine (proprietary INSIM model) simulates fluid flow and pressure distribution between wells based on fundamental reservoir mechanics.
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Machine learning modules adapt the physics model using production history, reducing prediction error by approximately 50%.
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The model is continuously updated as new field data arrives — injection rates, production volumes, pressure measurements — keeping predictions current.
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Optimization algorithms identify the highest-impact interventions: well workovers, injection adjustments, infill drilling locations, and conformance control.
Key Capabilities
- Reservoir modeling without 3D seismic cubes
- Production history matching and forecasting
- Well intervention optimization
- Water management and injection optimization
- Infill drilling location recommendations
- Layer-specific production management
- Scenario generation and risk assessment
Validation & Track Record
Field-tested results demonstrating up to 75% production increase, 12% water cut reduction, and 40% cost reduction. 3x faster processing than conventional simulators. 5-25% error rates without 3D geological models.
Integration
Why Multi-Method Matters
No single geophysical method can fully characterize the subsurface. Each technology has strengths and blind spots. Our platform exploits the strengths of each while compensating for individual limitations.
Independent Evidence
Each technology operates on different physical principles — helium migration, mechanical response, seismic wave propagation. Agreement between independent methods provides genuine validation.
Confidence Quantification
When three or more methods converge on the same target, the probability of a dry hole drops from 70-80% (industry average) to less than 5%.
Risk Reduction
The total cost of a multi-technology survey (~$1-1.5M) is a fraction of the cost saved by avoiding even one dry well ($3-10M+).
Want to Learn More?
Contact us to discuss how our technology platform can be applied to your exploration challenge.
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