An open source computational toolset to accelerate and de-risk technology development and commercialization through first-principles, multi-scale modeling, optimization and uncertainty quantification.

The prediction of carbon dioxide solubility in brine at conditions relevant to carbon sequestration is crucial. The CO₂ MMoPS is a multi-model predictive system which calculates the solubility of CO₂ in brines considering nine mathematical models across the range of T-P-X conditions likely to be encountered in carbon sequestration applications. With user-supplied values of the temperature, pressure and salinity conditions of the CO₂ storage formation, CO₂ MMoPS calculates the CO₂ solubility using the most accurate equation of state or empirical model for the given conditions.

National Energy Technology Laboratory’s (NETL) Carbon Storage Database Link Library, GLOBAL CO₂ STORAGE PORTAL, is a map-based application that provides quick access to the primary on-line sources of Carbon Storage Atlases associated with stationary CO₂ sources and potential geologic sinks for countries around the world.

The National Carbon Sequestration Database (NATCARB) is a geographic information system (GIS)-based tool for viewing carbon capture, use and storage (CCUS) potential across the United States. Through a graphical user interface, NATCARB displays locations and associated metadata about stationary CO₂ sources and potential geologic sinks. Users can access, query and model, analyze, display, and download CO₂ storage resource data.

NETL’s Variable Grid Method (VGM) is a novel approach that leverages GIS capabilities to simultaneously visualize and quantify spatial data trends and underlying data uncertainty. The flexible VGM approach utilizes a range of spatial datasets and uncertainty quantifications, which can be calculated using data related to sample density, sample variance, interpolation error, multiple simulations, etc., to create an integrated visualization of data and uncertainty. The intuitive manner of the VGM helps communicate the relationship between uncertainty and spatial data to effectively guide research, support advanced computation analyses, and helps inform research, management and policy decisions. The VGM approach is being developed into a Python Add-in extension and toolbar for ArcGIS, providing users the capabilities to utilize the VGM for their datasets, analysis, and models in support of their decision making needs. The VGM approach was developed as part of NETL’s Offshore portfolio. It was further matured and utilized in projects associated with both NETL’s Unconventional Resources and Carbon Storage portfolios.