A comparison study of density-driven flow in fractured porous media.
Abstract not provided.
Fukuyama, David↗
Engineering topics
Fukuyama, David
Publications and source records attributed to Fukuyama, David.
Development of a Framework for Coupled Thermal, Hydrologic, and Biogeochemical Modeling to Predict Permafrost Methane Emissions.
Abstract not provided.
Nole, Michael↗
Advancements in High-Performance Multi-physics Simulation Capabilities for the Geologic Disposal Safety Assessment Framework.
Abstract not provided.
Nole, Michael↗
Development of a fully implicit flow and solute transport model in PFLOTRAN.
Abstract not provided.
Fukuyama, David↗
Development of an Efficient Version of the Fuel Matrix Degradation Model.
Abstract not provided.
Harvey, Jacob↗
PFLOTRAN Development FY2022
The Spent Fuel & Waste Science and Technology (SFWST) Campaign of the U.S. Department of Energy (DOE) Office of Nuclear Energy (NE), Office of Spent Fuel & Waste Disposition (SFWD) is conducting research and development (R&D) on geologic disposal of spent nuclear fuel (SNF) and high-level nuclear waste (HLW). A high priority for SFWST disposal R&D is to develop a disposal system modeling and analysis capability for evaluating disposal system performance for nuclear waste in geologic media. This report describes fiscal year (FY) 2022 accomplishments by the PFLOTRAN Development group of the SFWST Campaign. The mission of this group is to develop a geologic disposal system modeling capability for nuclear waste that can be used to probabilistically assess the performance of generic disposal concepts. In FY 2022, the PFLOTRAN development team made several advancements to our software infrastructure, code performance, and process modeling capabilities.
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
Advancements in High-Performance Multi-physics Simulation Capabilities for the Geologic Disposal Safety Assessment Framework.
Abstract not provided.
Nole, Michael↗
Development of a Fully Implicit Flow and Solute Transport Model in PFLOTRAN.
Abstract not provided.
Fukuyama, David↗
Development of a Fully Implicit Flow and Solute Transport Model in PFLOTRAN.
Abstract not provided.
Fukuyama, David↗
Deep methane pulsing as a mechanism for concentrating microbial methane hydrate in marine sediments.
Abstract not provided.
Nole, Michael↗
Modeling Tracer Gas Adsorption and Transportin the Vadose Zone with PFLOTRAN.
Abstract not provided.
Paul, Matthew↗
Forecasting Marine Sediment Properties with Geospatial Machine Learning
Using a combination of geospatial machine learning prediction and sediment thermodynamic/physical modeling, we have developed a novel software workflow to create probabilistic maps of geoacoustic and geomechanical sediment properties of the global seabed. This new technique for producing reliable estimates of seafloor properties can better support Naval operations relying on sonar performance and seabed strength, can constrain models of shallow tomographic structure important for nuclear treaty compliance monitoring/detection, and can provide constraints on the distribution and inventory of shallow methane gas and gas hydrate accumulations on the continental shelves.
58 GEOSCIENCES↗