Investors & Entrepreneurs
INDUSTRIAL AFFILIATES PROGRAMS
Industrial Affiliates Programs provide a unique opportunity for the private sector to partner with UT researchers to explore research topics of mutual interest. Companies who join these programs gain access to state-of-the-art research facilities, world-class university talent, and any data and publications shared among members in exchange for an annual membership fee. Because Industrial Affiliates Programs are dedicated to fundamental, early-stage research, members can engage with the university’s research programs, students, and faculty without paying institutional indirect costs or overhead.
For more information on joining or establishing an Industrial Affiliates Program, contact our Licensing and Collaborative Research team.
Operating System 2.0
Est.
2019
Construction
The Operating System 2.0 Industrial Affiliates Program (OS2 IAP) conducts research aimed at defining new ways of doing business in the capital projects industry. The goal is to unlock value that today’s engineering and construction industry simply cannot access. While the systems and work processes that manage capital projects have improved steadily in recent decades, the underlying business model binding investors with construction industry product and service providers is still characterized by a lack of trust, excessive friction in transactions, and burdensome financial waste – preventing real progress.
Details
Brochure
Website
Fracture Research and Application Consortium
Est.
1998
Energy - Reservoir Geology & Simulation
The Fracture Research and Application Consortium (FRAC) pursues fundamental and applied research toward the successful characterization, prediction, and simulation of naturally and artificially fractured reservoirs. We take a combined approach that integrates structural geology and diagenesis with reservoir engineering and geomechanical modeling. This combination leads to fundamental understanding of fractures and fracture processes in fractured reservoirs of all types at a range of scales. Our goal is improved prediction of the geometry, spatial distribution, and hydraulic properties of faults and fractures at all scales and their influence on drilling and completions, fluid migration, production, and injection. Results are relevant to geothermal facility design, oil and gas exploration and development, including unconventional reservoirs, and deep fractured rock hydrogeology.
Details
Brochure
Website
Machine Learning Lab
Est.
2020
Computing & Automation
The Machine Learning Lab (MLL) will be the catalyst that expands industry academic partnerships and builds the research base for partner companies, yielding talent development, research expertise, and new opportunities for all involved.
Details
Brochure
Website
Well Construction, Decommissioning, and Abandonment
Est.
2017
Energy - Reservoir Drilling
The primary goal of the Well Construction, Decommissioning, and Abandonment (CODA) program is to research and develop new materials, systems, methods and computational models for successful, cost-effective, long-term well abandonment.
Details
Brochure
Website
