Pressure-Based Inversion and Data Assimilation System (PIDAS) for CO2 Leakage Detection


Conceptual sketch of major components<br/>of the PIDAS tool
Conceptual sketch of major components
of the PIDAS tool
University of Texas at Austin
Website:  University of Texas at Austin
Award Number:  FE0012231
Project Duration:  10/01/2013 – 09/30/2018
Total Award Value:  $1,208,431
DOE Share:  $963,536
Performer Share:  $244,895
Technology Area:  Monitoring, Verification, Accounting, and Assessment
Key Technology:  MVAA: Subsurface Monitoring
Location:  Austin, Texas

Project Description

This project is developing a well testing technology for leakage detection in carbon storage reservoirs by developing the theoretical basis and numerical tools required for conducting harmonic pulse tests and results interpretation to assist in the validation of CO2 storage permanence. Laboratory experiments will be designed to validate the numerical tools and theory. This will be followed by further development of data assimilation and inversion algorithms for integrating the pulse test data to be demonstrated in the field.

Project Benefits

This project focuses on the monitoring of CO2 in the subsurface by developing a pressure-based inversion data assimilation system. This new pressure-based method is improving an operator’s ability to demonstrate that the CO2 is permanently stored and detect leakage should it occur. Specifically, this project is demonstrating the utility of harmonic pulse testing and developing inversion algorithms for leakage detection. Improved monitoring will contribute to better storage techniques thus reducing CO2 emissions to the atmosphere.

Contact Information

Federal Project Manager 
Bruce Brown:
Technology Manager 
Traci Rodosta:
Principal Investigator 
Alexander Sun:

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