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.
Reservoir Simulation
Est.
2001
Energy - Reservoir Simulation
The objectives of the Reservoir Simulation Joint Industry Research Project include the development, testing, verification, and application of reservoir simulators for oil and gas recovery processes. The reservoir simulators developed by this research group are used as test beds for new process physics, computational algorithms, physical property models, and other scientific purposes. Recent projects include CO2 and H2 storage and simulation and production forcast from geothermal reservoirs.
Details
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Formation Evaluation
Est.
1997
Energy - Petrophysics
The joint industry research consortium on formation evaluation aims at developing and testing novel methodologies for the integrated interpretation of well logs, rock-core measurements, and seismic amplitude data. Emphasis is placed on the petrophysical interpretation of measurements to detect, diagnose, and quantify rock properties and geometrical variables that control the storage and production of hydrocarbon reserves. Interpretation of borehole geophysical measurements also includes pore-scale petrophysical models to assess the influence of partial hydrocarbon saturation on gradient diffusion measurements of magnetic resonance, wideband dielectrics, and multi-phase immiscible flow. To accomplish these goals, the research consortium develops efficient and accurate algorithms for the numerical simulation of multi-phase and compositional flow in the near-wellbore region.
Details
Brochure
Website
Quantitative Clastics Laboratory
Est.
2002
Energy - Reservoir Geology & Simulation
The Quantitative Clastics Laboratory (QCL) is a UT Austin industry research collaboration focused on the sedimentology and stratigraphy of clastic depositional systems, with applications in reservoir modeling, uncertainty in subsurface stratigraphic correlation, and source-to-sink predictions for frontier exploration. Researchers use outcrop, subsurface, and Earth-surface data to investigate the processes and products of fluvial, shallow-marine, and deep-water depositional systems, and they aim to determine the impact of realistic modeling of reservoir architecture and facies distribution on reservoir performance of these systems. Researchers also use multi-proxy provenance analysis to understand external drivers and paleogeography of sediment source areas, drainage networks, and depositional systems in order to predict reservoir presence and quality.
Details
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Multi-Scale Rock Physics of Unconventional and Carbonate Reservoirs
Est.
2016
Energy - Petrophysics
The UT Austin Multi-scale Rock Physics Research Program focuses on developing advanced methods and workflows for integrating multi-scale formation data (i.e., measured physical properties of rock-fluid systems from pore to reservoir scale) to enhance reservoir characterization of challenging formations. Examples of such formations include spatially heterogeneous, tight, unconventional (e.g., organic-rich mudrocks), and carbonate formations. The term unconventional refers to formations with complex pore/matrix structure and composition, where conventional rock physics methods fail to perform reliably. We jointly analyze the outcomes from experimental data, analytical rock physics model development, and numerical modeling to evaluate static and dynamic formation properties for reliable characterization of challenging reservoirs, with the intent to enhance production and recovery factors.
Details
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