The carbon storage research provides DOE-NETL’s Carbon Storage Program with an onsite laboratory to conduct fundamental and applied Research and Development (R&D). The portfolio consists of a diverse set of research activities, spanning laboratory experimentation, field work, and numerical modeling to meet the research needs within the Carbon Storage Core Research Program.
What is an EDX Portfolio?
The Geomicrobiology Team at NETL strives to provide insight into microbial processes that will occur in various energy environments, giving guidance to industry on risks driven by microbial processes, potential mitigation strategies, and the potential for the microbiology to be indicative of energy production/performance. The Geomicrobiology Team also strives to support development of a novel strategy that will drastically increase the economic feasibility of reducing, treating, and reusing waste streams in the energy industry.
The National Risk Assessment Partnership (NRAP)—an initiative within DOE’s Office of Fossil Energy and led by the National Energy Technology Laboratory—applies DOE’s core competency in science-based prediction for engineered–natural systems to the long-term storage of carbon dioxide (CO2). NRAP relies on integration of expertise and resources across five national labs (LANL, LBNL, LLNL, NETL, and PNNL).
NETL's Advanced Offshore Research is focused on developing a scientific base for predicting and quantifying potential risks associated with exploration and production in extreme offshore environments. The overarching goal of all projects in the Offshore portfolio is to prevent and improve response efforts related to offshore hydrocarbon spills.
The Critical Minerals Sustainability Program portfolio contains a comprehensive set of all publicly available data that were produced during a Congressionally funded assessment and analysis of the feasibility of economically recovering rare earth elements (REEs) from coal and coal by-product streams such as fly ash, coal refuse, and aqueous effluents. All publicly available datasets are accompanied by supplemental information that provides context on why, where, and how the data were collected.
The U.S. Department of Energy’s (DOE) Office of Fossil Energy and Carbon Management (FECM) will leverage the unique capabilities and demonstrated expertise of three National laboratories—National Energy Technology Laboratory (NETL), Pacific Northwest National Laboratory (PNNL) and Lawrence Livermore National Laboratory (LLNL)—to determine the viability, safety, and reliability of storing pure hydrogen or hydrogen-natural gas blends in subsurface environments.
The Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications (SMART) Initiative is a ten-year, multi-organizational effort with the goal of transforming interactions within the subsurface and significantly improving efficiency and effectiveness of field-scale carbon storage and unconventional oil and gas operations.
The Science-based Artificial Intelligence and Machine Learning Institute (SAMI) was established in 2020 and combines the strengths of NETL’s energy computational scientists, data scientists, and subject matter experts with strategic partners to drive solutions to today’s energy challenges. The institute has a vision to leverage science-based models, artificial intelligence, and machine learning (AI/ML) methods, data analytics, and high-performance computing to accelerate applied technology development for clean, efficient, and affordable energy production and utilization.
eXtremeMAT brings together seven leading U.S. DOE National Laboratories to harness the unparalleled breadth of unique capabilities for materials design, high-performance computing, manufacturing, and characterization that exist across the U.S. DOE complex to accelerate the development of materials for service in extreme environments.