Skip to content

INDUSTRIAL AFFILIATES PROGRAMS

  • Carbon Utilization & Storage

    Energy – Global Warming & Environmental

    The goal of Carbon Utilization, Storage, and Transportation (CARBON UT) is to develop novel solutions to the energy transition that satisfy energy demands, carbon balance, economic feasibility, and public acceptance. We focus on developing basic technologies needed in the energy transition, such as CO2 capture and direct conversion, geological carbon sequestration, bridging technologies for energy with less or no carbon emission, hydrogen production and supply chain, and renewable energy at low cost.

  • Well Construction, Decommissioning, and Abandonment

    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.

  • Center for Subsurface Modeling

    Energy – Reservoir Simulation

    The Center for Subsurface Modeling (CSM) is dedicated to developing solutions to tomorrow’s modeling challenges – today. At CSM, we actively work with industry and academia to deliver cutting edge scientific advancements in the form of toolsets for subsurface applications. Our research continually seeks to improve our physical understanding of subsurface phenomena using consistent mathematical modeling and advanced numerical solution techniques. We use high performance computing to reduce computational costs associated with complex models. CSM collaborations span across various disciplines to model flow and transport of fluids in reservoirs of varying complexities accounting for fluid phase behavior, geochemical reactions and geomechanical deformations. These modeling advancements are implemented in our in-house reservoir simulator (IPARS) or available as stand-alone toolsets for specific applications. Our model developments assist industrial affiliates in their field deployment efforts.

  • iMAGiNE

    Computing & Automation

    The iMAGiNE (Intelligent MAchine enGINEering) consortium provides tools, methodologies, and knowledge for engineering the machines that support intelligent applications, from the smallest circuits to the largest systems. iMAGiNE brings together faculty experts and researchers working on cutting-edge technology from devices and circuits, to hardware accelerators and the software systems running on them, while advancing the development of intelligent systems for rich data collection, machine learning, and smart sensing/actuation. To support the cloud-edge continuum and the applications running on them, iMAGiNE is organized in three thrusts: Cloud, Edge, and Applications.