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Risk and Integration Tools

Figure 1. NETL's Data Driven Tool for Science-Based Decision Making.
Figure 1. NETL's Data Driven Tool for Science-Based Decision Making.

The Risk and Integration Tools technology research effort crosscuts Advanced Storage Research and Development (R&D) and Storage Infrastructure and focuses on the development and validation of effective quantitative risk assessment tools validated in field projects. These tools are integrated with tools developed in Advanced Storage R&D to predict a storage system’s response to large-scale carbon dioxide (CO2) injection, understand site performance, identify potential site problems, and develop mitigation procedures to quickly and effectively address any unwanted condition, should one arise.

The Energy Data eXchange (EDX) provides a platform for the integration of tools by supporting private collaboration for ongoing research efforts and tech transfer of finalized U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) research products. EDX supports NETL-supported research by:

  • Coordinating historical and current data and information from a multitude of sources to facilitate access to research that crosscuts multiple NETL projects/programs.
  • Providing external access to technical products and data published by NETL-supported research teams.
  • Collaborating with a variety of organizations and institutions in a secure environment through EDX’s Collaborative Workspaces.

Future efforts of EDX include providing a coordinated archive of data and the results from the Regional Carbon Sequestration Partnership (RCSP) Initiative large-scale field projects.

The CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) tool is another set of data-integration tools developed to screen saline formations for prospective CO2 storage resources. By applying DOE methods and equations, CO2-SCREEN provides a dependable method for calculating prospective CO2storage resources that allows for consistent comparison of results between different research efforts. CO2-SCREEN consists of an Excel spreadsheet containing geologic inputs and outputs linked to a GoldSim Player model that calculates prospective CO2 storage resources via Monte Carlo simulation.

The National Risk Assessment Partnership’s (NRAP) approach to quantitative risk assessment is outlined in Figure 2. 

Figure 2. NRAP’s Approach to Quantitatively Assess Storage System Performance and Risk
Figure 2. NRAP’s Approach to Quantitatively Assess Storage System Performance and Risk

Analysis of the risks associated with a large-scale CO2 storage project is performed through all stages of the project. Conducted on a continual basis, the analysis is used to aid owners with site selection; communicate project goals and procedures to the public; help regulators in overseeing projects; assure safe and continuous operations; and guide all monitoring, verification, accounting (MVA), and assessment activities. In the context of broader risk analysis objectives, risk assessment must continue to evaluate technical risk, but it also must evaluate project implementation risks, operational risks, and long-term storage risks. Quantified risks, with related uncertainties, can then be used to inform assessments of long-term project costs, potential liabilities, and decisions on decommissioning and long-term stewardship.

Risk assessment focuses on the systematic identification of technical and non-technical risk factors in a carbon capture and storage (CCS) project. Along with identifying potential risks, it is essential to define or predict specific consequences. Numerical simulations, are used to support the development of a rigorous risk assessment strategy that includes the quantification of risk factors. Current research, which is focused on developing improved quantitative risk assessment tools, also involves integrating risk assessment with field operations in ways such as:

  • The development of a methodology and computational platform for quantifying risk profiles based on integrated assessment models and uncertainty quantification.
  • Laboratory- and field-scale scientific investigations to reduce uncertainties in the predicted risk profiles.
  • The integration of risk-based monitoring and mitigation strategies to help quantify and reduce uncertainty and overall risk.

Future research will focus on integrating improved quantitative risk assessment tools with field operations and applying systems-based, quantitative risk assessment for the evaluation of risk management and mitigation alternatives.

Technology Component Portfolio Interactive Map

The National Energy Technology Laboratory (NETL) is supporting a diverse portfolio of projects, which can be viewed in the Tableau Dashboard below. This map is entirely interactive; adjusting the toolbar on the left allows you to narrow your selection, pan, or zoom in/out. The map can be sorted by Technology Area; clicking on a location allows you to learn more about each individual project. 

Adjusting the Icon Spread Factor allows you to simultaneously view projects with the same locations. NOTE: Some of the projects, while they share a location, appear staggered to allow the viewer to show multiple projects at the same location. In those instances, as well those in which the location is marked as "Regional," the location is estimated.