Subsurface Intelligence for Undergrounding Operations: Rapid AI-Based Geophysical Imaging and Advanced Visualization

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Program:
GOPHURRS
Award:
TBD
Location:
TBD
Status:
Selected
Project Term:
TBD
Website:

Technology Description:

Pacific Northwest National Laboratory is developing an artificial intelligence system for processing geophysical survey data into digital twin and augmented reality in order to identify existing utilities and other subsurface obstacles before installing underground power distribution lines. The system would autonomously process data from multiple types of geophysical sensors to detect and classify anomalies underground and create a digital representation of the subsurface for geographic information systems. Analysis, visualization, and reporting typically takes weeks or months after data acquisition, but the proposed system could produce results within minutes, providing near real-time subsurface mapping and utility identification which will lead to cost savings and speed up the task of burying power lines.

Contact

ARPA-E Program Director:
Dr. Philseok Kim
Project Contact:
Dr. Frederick Day-Lewis
Press and General Inquiries Email:
ARPA-E-Comms@hq.doe.gov
Project Contact Email:
frederick.day-lewis@pnnl.gov

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Release Date:
03/30/2023