EnviTrace LLC

We are excited to share a demo version of our new software GeoTGo designed to help you explore geothermal potential with AI/ML. We preloaded two example data sets. Please check it out and let us know if you have feedback.
http://73.42.119.232:8989/

Our CTO, Velimir Vesselinov (monty) has over 100 published research papers. This one: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EA002086 is in the top 5% of all research outputs tracked by Almetric.

Characterizing Drought Behavior in the Colorado River Basin Using Unsupervised Machine Learning Unsupervised machine learning automatically identifies key sub-watersheds with significant changes in their future drought indicators In the Colorado River Basin mountains, distinct differences i...

Dr. Velimir ("Monty") Vesselinov is now the CTO of our company. He brings expertise in AI/ML, cloud computing, and earth sciences. You can read more about him here:

Velimir V. Vesselinov ("monty") : Research / Codes / Projects / Applications / Publications / Presentations / Lectures / Videos / Art Research, Codes, Projects, Applications, Publications, Presentations, Reports, Lectures, Videos, Art

Envitrace is extremely grateful and proud to be one of the 87 companies receiving funding for our research.

Department of Energy Announces $110 Million for Small Business Research and Development Grants 87 Grants Will Support Scientific Innovation and Clean Energy Development

Dr. Cohen does a great job explaining some of the basics regarding the possibilities of exploring and analyzing geothermal energy with machine learning. EnviTrace LLC will be doing similar work.

Providing artificial intelligence and machine learning to address environmental data needs.

When Covid isn’t on our mind, climate change is, and then we ask ourselves “What can I do?”

Geothermal energy has the tremendous potential to be a major energy source for our economy, offset anthropogenic carbon emissions, and reduce the environmental impacts of existing energy production technologies. It is still a largely untapped and minimally understood natural resource. Furthermore, geothermal exploration and production are risky, expensive, and challenging endeavors. They demand novel theoretical understandings and exploratory methods that can make geothermal business efficient and attractive for further investments. Regardless of being green and renewable technology, energy production from geothermal resources also can have negative environmental effects. For example, Switzerland recently banned geothermal extraction techniques (so-called enhanced geothermal systems or EGS), which can cause induced seismicity. Fully exploring, investigating, and developing geothermal resources demands novel advanced methods and tools which can revolutionize geothermal research and business. These innovative methods and tools should merge the traditional geothermal exploration techniques (such as Play Fairway Analyses or PFA’s) with the latest artificial intelligence and machine learning techniques