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Plume Detection and Storage Efficiency

Preliminary modeling of CO2 injection at the Chester 16 reef system. Photo courtesy of ORNL FEAA-045 Task 1.

Plume Detection and Storage Efficiency Overview

Plume Detection and Storage Efficiency focuses on technologies to determine:

  • Changes in reservoir pressure due to carbon dioxide (CO2) injection.
  • Where the CO2 plume is located.
  • How the CO2 plume moves through the reservoir.

Research under this area can include:

  • Modeling to predict the movement of the plume.
  • Monitoring technologies that measure where the plume is and where it is going.
  • Modeling that incorporates all the hydrologic and geochemical processes to predict how the CO2 is distributed in the pore space and ultimately trapped in the reservoir.
  • Geophysical tools and field measurements focused on tracking the plume and determining its spatial distribution in the reservoir.
  • Intelligent monitoring systems (IMSs) and machine learning, which integrate and analyze multiple data types from multiple sources over multiple time frames for decision making and performance assessment.
  • Tracers that can provide information on the distribution of the CO2 and where it is moving in the reservoir.
Plume Detection and Storage Efficiency Project Landing Pages
Integration of Seismic-Pressure-Petrophysics Inversion of Continuous Active-Seismic Monitoring Data for Monitoring and Quantifying CO2 Plume Pennsylvania State University (PSU)
FE0031544
Wireless Microsensors System for Monitoring Deep Subsurface Operations Battelle Memorial Institute
FE0031850
New Imaging and CO2 Storage Technologies for Unconventional Subsurface Reservoirs Pacific Northwest National Laboratory (PNNL)
FWP-70066
Sequestration in Basalt Formations Pacific Northwest National Laboratory (PNNL)
FWP-70066
Engineering Integrated Sensing, Power, Telemetry and Data Processing Systems for Complex Subsurface Environments Pacific Northwest National Laboratory (PNNL)
FWP-80754
LLNL Carbon Storage Program Targeted Research Lawrence Livermore National Laboratory (LLNL)
FWP-FEW0287
SPARSE: Sparse Passive-Active Reservoir monitoring using Seismic, Electromagnetics, Gravity, and Surface Deformation Lawrence Berkeley National Laboratory (LBNL)
FWP-FP00015750

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