Our science
Physics‑Informed AI for Induced Seismicity
We combine state‑of‑the‑art machine learning with rigorous physics and high‑fidelity seismic and injection data to deliver accurate, actionable forecasts for induced seismicity caused by subsurface activities such as geothermal development, produced water injection, waste disposal, and carbon sequestration.
SeisDB: Extraordinary Data Quality
AI is only as good as its training data.Our one‑of‑a‑kind SeisDB platform merges detailed seismological and injection monitoring across space and time, enabling class‑leading projections.
Beyond the Cutting Edge of Physics‑Informed AI
We don't just "use" AI—we extend its boundaries.Our team advances the forefront of physics‑informed AI with fine‑tuned, validated models engineered for critical infrastructure.
Interpretable, Defensible, Robust
No mysterious black boxes. We provide interpretable, defensible forecasts, quantify uncertainties precisely, and communicate recommendations with transparency and confidence.
Ready to take your geothermal to new depths?
Partner with us to deploy LAPIS on your assets, accelerate development, and de‑risk operations with physics‑grounded AI and domain expertise.
Need the evidence base?
Visit the LAPIS Resource Hub
Pull regulatory guidance, state enforcement snapshots, technical reports, and academic reviews on induced seismicity in one curated page.
Explore ResourcesRelated publications
- Deep-Embedded-Clustering of Microseismicity Identifies Multiple Failure Mechanisms at The Geysers Geothermal Field (2026) — P. Lara et al. — Geophysics (submitted)
Related presentations
- Machine Learning to Characterize the State of Stress and its Influence on Geothermal Production (2021) — V.V. Vesselinov, et al. — Geothermal Rising Conference