A Framework for Improved Geohazard Monitoring, Data Integration, and Information Fusion at Scale

Overview

Fast Facts
Project No.	1016
Contract No.	693JK32310012POTA
Research Award Recipient	Gas Technology Institute dba GTI Energy 1700 South Mount Prospect Road Des Plaines, IL 60018-1804
AOR/TTI	Andrea Ceartin Kevin Ritz Tod Barker
Researcher Contact Info	Ernest Lever, 1-847-544-3415, elever@gti.energy

Technology and Commercialization
Technology Demonstrated	TBD
Commercialized (in whole/part)	TBD
Commercial Partner	Empty Value
Net Improvement	Empty Value

Financial and Status Data
Project Status	Active
Start Fiscal Year	2023 (09/30/2023)
End Fiscal Year	2026 (09/30/2026)
PHMSA $$ Budgeted	$399,253.00

Main Objective

Deliver well-documented data, information, and model fusion architectures that can be implemented on many commercially available platforms.

Public Abstract

Project Description: This project will define a new technology-architecture and an approach to understand geohazard risk guided by thoughtful design principles that disrupt current approaches to geohazard monitoring and forecasting. Central to this approach is the idea of making data analysis-ready more addressable and accessible to networks of models to decision makers; this highly organized approach will unlock innovation. This approach will extract more value from existing data and models and will lay the foundation for integrating real-time sensor feeds, to extract pertinent information from any source with fit-for-purpose models so that models can learn and update to facilitate agile, and to have effective decision making in the context of mitigating geohazard threats to pipelines.

Anticipated Results: The project will deliver well-documented data, information, and model fusion architectures that can be implemented on many commercially available platforms. The approach will be demonstrated via a virtual workshop, using a commercially available platform, where the use-case example of geohazards related to rivers will be modeled. Additionally, the project team will liaise with relevant standards organizations to establish an industry working group to evaluate the project output as a starting point for developing a governing standard to guide data and information fusion for geohazard modeling.

Potential Impact on Safety: The robust, modular, and scalable agent-based approach will allow emergent risk situations to be readily addressed by linking the new data, information, and models to also address previously unrecognized risks. This ability to quickly integrate data with decision making will be a significant enhancement to system safety.