RESPONSIBLE ENGINEERING

Mines is a leader in overcoming critical challenges to build a more sustainable and prosperous future.

When looking at the world’s biggest goals today, sustainability is near the top of the to-do list. Governments, communities and industries around the globe are searching for the latest solutions and creative approaches for furthering innovation while being mindful of the wellbeing of our environment, our people, our economies and more.

At Mines, our world-class researchers are taking an interdisciplinary, collaborative approach to this goal. We have teams working on issues such as decarbonization; water resource management; critical material supply chains; carbon capture, utilization and storage; and more. By working across disciplines and addressing all sides of an issue, our researchers are able to think holistically and take a wellrounded approach in their work. This also enables unique partnerships with national labs and government agencies that allow us to make significant advancements in technology and find solutions faster. And all of this work is governed by responsible engineering practices that put communities first and ensure maximum benefit for the people these solutions aim to support.

In the following pages, you can read about some of the projects we’ve been working on to support a more sustainable future and the partnerships that are making this work possible.

When seeking the next step toward a more prosperous future, Mines is helping lead the way.

Research Centers And Industry Consortia Related To Subsurface Characterization

11 5 Research Centers And Industry Consortia Related To Water

Research Center Snapshot

Center for Advanced Subsurface Earth Resource Models (CASERM)

A collaborative venture between Mines and Virginia Tech, CASERM aims to solve research challenges in the development of 3D subsurface geological models for mineral deposits. CASERM forms part of the National Science Foundation’s Industry/University Cooperative Research Centers program.

CASERM’s research includes:

• Development of novel instrumentation, analysis and interpretation methods for enhanced characterization of rock properties

• Integration, scaling and inversion of geological, petrophysical and geophysical data types of dissimilar spatial resolution and distribution to identify and characterize subsurface resources

• Development of machine learning methods to predict subsurface properties, quantify uncertainty and de-risk decision making

• Development of graphical and exploratory data analysis solutions and visualization tools for 3D subsurface features

$1.5 million in total research volume per year

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