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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.

 

Secure Storage Project Summary Pages
Robust In Situ Strain Measurements to Monitor Carbon Dioxide (CO2) Storage Clemson University
FE0028292
Demonstrating Near Real-Time Joint Inversion of ERT and Seismic Data for Actional Wellsite Intelligence Pacific Northwest National Laboratory
FWP-76310
Los Alamos National Laboratory Carbon Storage Activities Los Alamos National Laboratory
FWP-LANL-FE-1209-20-FY20
A Highly Sensitive Real-Time Subsurface Sensor for CO2 Leakage Monitoring Bettergy Corporation
SC0021479
Reservoir Evaluation Tools Using Seismic Interferometry and Fiber Optic Sensors Lawrence Livermore National Laboratory
TCF-19-17754

 

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
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
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.

 

Subsurface Stress Project Summary Pages
Improving Subsurface Stress Characterization for Carbon Dioxide Storage Projects by Incorporating Machine Learning Techniques New Mexico Institute of Mining and Technology
FE0031684
Identification of Faults Susceptible to Induced Seismicity University of Illinois
FE0031685
A Non Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage Battelle Memorial Institute
FE0031686
Refining Principal Stress Measurements in Reservoir Underburden in Regions of Induced Seismicity Through Seismological Tools, Laboratory Experiments and Theory Electric Power Research Institute
FE0031687
Development of Thermal Breakout Technology for Determining In Situ Stress RESPEC Company, LLC
FE0031688
Active Seismic Monitoring of CO2 Leakage through a Hydromechanically Reactivated Fault Caprock Integrity Monitoring for a Geological Carbon Sequestration Site Analog: Validating a CASSM Monitoring System Lawrence Berkeley National Laboratory
FP00007630

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