SBIR/STTR Award attributes
This proposal addresses the challenge of efficiently monitoring subsurface cleanup performance as part of long-term remediation of environmental contamination. We will develop autonomous and networked arrays of in-situ NMR sensors for efficient long-term deployment at remediation sites. Based on documented NMR sensitivity, we will advance methods to integrate NMR relaxation data and 2D NMR diffusion measurements to detect and quantify changes in subsurface properties associated with remediation. The combined technology will allow autonomous long-term monitoring of remediation processes at contaminated sites. The Phase 1 research will establish the feasibility of miniaturized self-contained NMR sensors that can be deployed in 2-inch PVC and operated from a main control hub in a distributed array. We will design functional prototypes of the sensors and surface control hub to validate sensitivity and networked reliability. We will also conduct macro-scale laboratory experiments on borehole test cells to validate the sensitivity and detection thresholds of NMR measurements in conditions representing remediation environments using vegetable oil amendments and apatite precipitation. Completion of this technology in Phase II and beyond will deliver low-cost autonomous NMR monitoring arrays as a commercial product for sale, lease, and turn-key service across the huge worldwide market of environmental remediation. This technology will make it possible to efficiently and directly measure subsurface changes associated with stimulated remediation.This capability will allow remediation engineers to more effectively optimize remediation design and to accelerate the timeframes to demonstrate regulatory compliance, saving cost and improving outcomes. Ultimately, the technology will benefit human and ecosystem health, by enabling more effective subsurface cleanup and long-term environmental protection.
