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

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.

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Conceptual sketch of major components of the PIDAS tool

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Pressure-Based Inversion and Data Assimilation System (PIDAS) for CO2 Leakage Monitoring (Aug 2017)
Presented by Alexander Sun, University of Texas at Austin, 2017 Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, PA
Pressure-Based Inversion and Data Assimilation System (PIDAS) for CO2 Leakage Detection (Aug 2016)
Presented by Alexander Sun, University of Texas at Austin, 2016 Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, PA

Principal Investigator

Alexander Sun

alex.sun@beg.utexas.edu

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.

Project ID

FE0012231

Website

University of Texas at Austin

http://www.utexas.edu/