Validation & Track Record
Proven Results Across 12 Surveys
Every PMRI survey is validated against known geology, published research, historical well data, and independent geophysical methods. These are not modeled predictions — they are confirmed results.
12
Completed Surveys
479
Sensors Deployed
6
US States
100%
ML Classification Accuracy
17,031
Cross-Project Seismic Pairs
97.5%
Dispersion Success Rate
Survey Results
Results by State
High-level findings from 12 completed surveys across 6 US states. All results independently validated.
Utah
8 SurveysOil & Gas, Minerals, Geothermal, Salt, Voids, H₂/He- Salt dome structures confirmed by independent seismic velocity profiling — cap rock spike detected at expected depth
- Copper porphyry system mapped with zonation pattern validated by surface malachite, azurite, and chrysocolla outcrops
- Basalt lava tube voids detected at shallow depth, discriminated from gold targets in adjacent domain
- Oil and gas structural traps identified with three independent methods converging on consistent strike direction
- Hydrogen and helium fault conduits mapped using velocity drops at depth — two independent pathways identified
- Regional basin profiled to over 8 km depth using cross-project sensor pairs spanning 130+ km
Texas
1 SurveyOil & Gas- Evaporite dissolution zone detected at approximately 400 m depth via seismic velocity collapse
- Result consistent with known Permian Basin stratigraphy in the survey region
- Survey located adjacent to one of the most prolific producing fields in West Texas
- Three independent analysis methods converge on consistent structural strike of 130–150°
Nevada
2 SurveysGold/Silver, Water/Lithium- Gold and silver vein systems mapped — 20 veins and over 600 domain boundaries detected from mechanical analysis
- Alternating competent rock and fractured zones confirmed by seismic velocity profiling — consistent with vein-hosted mineralization
- Water and lithium brine zones identified with very low seismic velocities confirming unconsolidated playa sediments
- Dual-array deployment spanning over 4 km resolved both shallow aquifer and deep brine targets
California
1 SurveyWater / Aquifer- Aquifer zones and confining layers mapped across the full survey area
- Competent rock layer identified at depth — consistent with regional consolidated formation
- Basement anomaly detected indicating possible fluid zone or fractured rock at depth
- Results consistent with published regional hydrostratigraphy for the survey area
Independent Confirmation
External Validation
PMRI results are not self-referencing. Every major finding is cross-checked against external, independent data sources.
Published Geology Alignment
Survey results across all 12 sites are consistent with published geological maps, known stratigraphy, and peer-reviewed regional studies for each survey area.
USGS Earth MRI Correlation
Seven survey areas overlap with USGS Earth MRI aeromagnetic data (DOI 10.5066/P13M9JJT). PMRI mechanical results correlate with magnetic anomaly patterns where expected.
Historical Well Confirmation
Nine historical wells across survey regions confirm PMRI-predicted subsurface conditions — formation depths, rock types, and fluid zones match predictions from mechanical and seismic analysis.
Drill Hole Assay Verification
In Nevada, an independent drill hole with certified laboratory assays confirms PMRI water type classification and lithium brine predictions at the surveyed location.
Cross-Project Seismic Coherence
Sensors from different surveys — deployed months apart and never recording simultaneously — produce coherent seismic cross-correlations at distances up to 132 km, confirming basin-scale geological continuity.
Core Principle
Multi-Method Convergence
The strength of PMRI is not any single measurement — it is the convergence of multiple independent data streams on the same subsurface target.
7
Independent Data Streams
Each sensor yields seven physically independent measurements. No two data streams share the same physics — agreement between them is genuine validation.
33
Features per Sensor
The machine learning classifier uses 33 independent features derived from mechanical, seismic, and three-component analysis to classify geological context with 100% accuracy.
100%
Classification Accuracy
Trained on 467 sensors across 12 geological contexts, the ensemble classifier correctly identifies every survey environment — from salt domes to gold veins to aquifers.
Ready to Discuss Your Project?
Contact us to learn how PMRI can be applied to your exploration challenge.
Get in Touch