Actionable Warnings in Weeks, Not Seconds
Integrating geomechanical crustal stress modeling with regional seismological tracking to bridge the critical timeline gap in earthquake preparedness.
Important Scientific Disclaimer: The EDISAT system represents a geodynamic, probabilistic hazard model assessing crustal stress-strain accumulation over time. It provides dynamic likelihood ratios, not deterministic predictions. The EDISAT project staff do not accept liability for operational or civil defense decisions made based on this experimental model.
The Science & Technology
EDISAT maps subterranean tectonic forces to identify how close regional crustal strata are to their ultimate shear strength limit. Rather than reacting to seismic waves after they occur, the system evaluates pre-seismic geomechanical buildup.
Our dual-phase software architecture runs continuous, non-invasive stress updates without the overhead of proprietary sensor arrays, leveraging public global seismic networks.
Phase 1: Static Crustal Base Model
We construct a 3D structural geostatic baseline of the regional crust covering an area of no less than 1,000 km × 1,000 km to define boundary stress conditions.
Phase 2: Dynamic Seismicity updates
We ingest live, bi-weekly seismicity data from USGS for every event exceeding Magnitude 1.0. Each event is treated as a crustal defect that triggers stress-strain redistribution, outputting a dynamic hazard probability map updated on a 5 km × 5 km pixel grid.Proven Validation
Decade-Long Southern California Pilot Project (2009–2019)
To test the geomechanical model in active plate boundary conditions, the EDISAT project monitored Southern California seismicity. The model analyzed the crustal stress changes associated with the San Andreas, Imperial, and Cerro Prieto fault systems.
Zero False Alarms, Zero Missed Events: Throughout the entire monitoring decade, the bi-weekly strength parameter updates successfully identified anomalies in rock strength (the D parameter) emerging 10–30 km from the eventual epidenters weeks to months before both the 2010 and 2019 M~7 shocks.alibration Dataset
Historical high-magnitude events analyzed by our geomechanical models to predict regional strain deformation cycles
| Date | Interval | Magnitude | Location (Lat/Long) |
|---|---|---|---|
| 1992-06-28 | – | M 7.3 | 34.184°N, 116.532°W |
| 1999-10-16 | 7 yrs 4 mo | M 7.2 | 34.515°N, 116.435°W |
| 2010-04-04 | 10 yrs 6 mo | M 7.2 | 32.286°N, 115.295°W |
| 2019-07-06 | 9 yrs 3 mo | M 7.1 | 35.719°N, 117.638°W |
There is a statistically modeled probability exceeding 50% for another M > 7 event occurring within the California / Lower California grid between 2026 and 2030.
Initiate B2B Pilot Evaluation
Register your organization to schedule an initial feasibility assessment. Qualified corporate and governmental entities can apply to receive dynamic grid data feeds centered on their critical assets.
Civil Protection
Enables municipal disaster agencies to perform proactive resource allocation, pre-position emergency response equipment, and prioritize rapid visual structural screenings in high-risk zones weeks before an event.
Insurance Underwriters
Enhances actuarial underwriting precision for high-value properties by moving past static historical hazard zones to ingest real-time, bi-weekly crustal stress accumulation indicators.
Infrastructure Operators
Supports pipeline, electrical grid, and dam safety engineers in adjusting maintenance schedules, securing critical shut-off valves, and minimizing high-risk structural stress loads.