SBIR/STTR Research Award

Digital Twin Enhanced Fiber-Optic Sensing System for Wellbore Structural Health Monitoring

Award identifier 2518b92dc0d6111b35e49449a3497f67524a684a1afcf7572b1716fc3a46a239Awarding agency Department of Energy

Award amount

$199,966

Program and phase

SBIR · Phase I

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
INTELLIGENT FIBER OPTIC SYSTEMS CORP
Proposal award date
2022-02-14
Contract end date
2022-11-13
UEI
HCXHVBD9HKN9
Solicitation number
Not reported
Topic code
C53-21a

Research abstract

Geothermal energy offers significant energy generation capacity to support America’s transition from fossil fuels to renewables. Enhanced Geothermal Systems (EGS) allows extraction of harder-to-reach geothermal energy by actively pumping cold fluids into hot basement rock. DOE and industry seek to improve geothermal well completion, stimulation, and/or operations via improved understanding and prevention of wellbore impairment. IFOS proposes an innovative, photonic-computation-based wellbore integrity and SHM system, WellSense™, for real-time wellbore health monitoring and prognostics. The system will leverage an integrated distributed fiber optic sensing system that integrates multifunctional and multiplexable Fiber Bragg Grating (FBG) sensors with Distributed Temperature Sensing (DTS) for high-precision strain, pressure, and temperature measurements. The multifunctional WellSense™ system will relate multi-parameter, multi-point direct measurements made with fiber-optic sensors to wellbore conditions in real-time. The fiber optic cable will be suitably ruggedized for installation in high temperature and pressure environments, thereby rendering it capable to operate in harsh regimes (up to 200°C and 5,000 PSI). In addition to IFOS’ on-the-fly, light-speed optical computation performed in the fiber sensing layer, the on-board analytics will leverage a ‘Digital Twin’ system that integrates geophysical, mechanical, and chemical models of the test specimen with numerical modeling and AI- enhanced edge computing. The ‘Digital Twin’ framework will integrate virtual representations of wellbore components and surface production systems behavior with models of reservoir flow to map calculated temperature, pressure, acoustic waveforms, and energy flow parameters to specific impairment and failure signatures and mechanisms. This will allow the on-board diagnostics and prognostics architecture to optimize the trade-off between failure probability and production to manage remedial actions. In Phase I the IFOS multidisciplinary team will demonstrate the feasibility of its fracture characterization system. In Phase II, the team will perform field validation of an integrated engineering prototype. The borewell characterization provided by IFOS’ photonic system will increase the energy efficiency of EGS production by giving operators greater understanding of the structural health of the well.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

172 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $61,008,158. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, Department of Health and Human Services, National Science Foundation, Department of Agriculture

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.