Advanced Storage Archives Project Portfolio
Secure Storage focused on modeling, which incorporated geomechanical processes that impact the possibility of leakage, and all surface, near-surface, and subsurface monitoring tools and field data acquisition where the design of the tool(s) and processing/modeling that focused on detecting and quantifying leaks.
Wellbore Integrity focused on technologies to assess the integrity of existing wellbores, specifically examining the annulus between the casing and the rock.
Wellbore Integrity Project Summary Pages |
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Programmable Sealant-Loaded Mesoporous Nanoparticles for Gas/Liquid Leakage Mitigation |
C-Crete Technologies, LLC |
FE0026511 |
Wellbore Leakage Mitigation Using Advanced Mineral Precipitation Strategies |
Montana State University |
FE0026513 |
Improved Wellbore Integrity via Sealing Small Cracks with CO2-soluble Polymers that Block Water, Oil and Gas |
Pennsylvania State University |
FE0026825-03-41 |
Embedded Sensor Technology Suite for Wellbore Integrity Monitoring |
National Energy Technology Laboratory |
FWP-1022435 |
Autonomous Monitoring of Wellbore Integrity Applying Time Reverse Nonlinear Elastic Wave Spectroscopy (TR NEWS) and Fiber Optic Sensing and Communication |
Los Alamos National Laboratory |
FWP-FE-853-17-FY17 |
High-Resolution 3D Acoustic Borehole Integrity Monitoring System |
Los Alamos National Laboratory |
FWP-FE-855-17-FY17 |
Developing Biomineralization Technology for Ensuring Wellbore Integrity |
Montana Emergent Technologies, Inc. |
SC0010099 |
High-Resolution Fiber-Optic Sensing System for 4D Mapping, Detection, and Characterization, and Integrity Assessment of Legacy Wellbores for Carbon Storage |
Intelligent Fiber Optic Systems Corporation |
SC0021778 |
Downhole Accelerator-Sourced X-ray Imaging of Multiple Casing Strings |
Fermi National Accelerator Laboratory |
TCF-18-15746 |
Plume Detection and Storage Efficiency focused on modeling, which predicts the movement of the plume, and monitoring technologies, which measure where it is and where it is going in the reservoir.
Plume Detection and Storage Efficiency Project Summary Pages |
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Development of a Framework for Data Integration, Assimilation, and Learning for Geological Carbon Sequestration |
University of Texas at Austin |
FE0026515 |
Intelligent Monitoring Systems and Advanced Well Integrity and Mitigation |
Archer Daniels Midland Corporation |
FE0026517 |
Charged Wellbore Casing Controlled Source Electromagnetics (CWC-CSEM) for Reservoir Imaging and Monitoring |
Colorado School of Mines |
FE0028320 |
Joint Inversion Of Time-Lapse Seismic Data |
University of North Dakota Energy and Environmental Research Center |
FE0031540 |
Integration of Seismic-Pressure-Petrophysics Inversion of Continuous Active-Seismic Monitoring Data for Monitoring and Quantifying CO2 Plume |
Pennsylvania State University |
FE0031544 |
Wireless Microsensors System for Monitoring Deep Subsurface Operations |
Battelle Memorial Institute |
FE0031850 |
Thermopile Energy Harvesting for Subsurface Well Bore Sensors |
Sandia National Laboratory |
FWP-20-022728 |
Monitoring of Geological CO2 Sequestration Using Isotopes and PF Tracers |
Oak Ridge National Laboratory |
FWP-FEAA045 |
The Role of Chemical Alteration in Arkosic Reservoirs |
Lawrence Livermore National Laboratory |
FWP-FEW0271 |
Pup Joint Telemetry System |
Goldfinch Sensor Technologies and Analytics, LLC |
SC0019809 |
Scalable and Robust Fiber-Optic Sensor Array System for Injected CO2 3D Mapping Using Active Micro-Acoustics |
Intelligent Fiber Optic Systems Corporation |
SC0019823 |
Deep Learning Enhanced Joint Inversion for High-Resolution CO2 Plume Monitoring |
Cyentech Consulting, LLC |
SC0020910 |
Fluctuation Enhanced Sensing (FES) for Monitoring of CO2 Storage |
TDA Research, Inc. |
SC0021501 |
Subsurface Stress addressed the tools and methods to determine the subsurface state of stress, and geomechanical modeling to analyze the potential for slip-on fractures and faults and predict potential induced seismicity.
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