Identifying attributes of CO2 leakage zones in shallow aquifers using a parametric level set method: Original Research Article: Identifying attributes of CO 2 leakage zones in shallow aquifers using a parametric level set method
Abstract
Leakage through abandoned wells and geologic faults poses the greatest risk to CO2 storage permanence. For shallow aquifers, secondary CO2 plumes emanating from the leak zones may go undetected for a sustained period of time and has the greatest potential to cause large-scale and long-term environmental impacts. Identification of the attributes of leak zones, including their shape, location, and strength, is required for environmental risk assessment. This study applies a parametric level set (PaLS) method to characterize leak zones. Level set methods are appealing for tracking topological changes and recovering unknown shapes of objects. However, level set evolution using the conventional level set methods is computationally challenging. In PaLS, the level set function is approximated by using a weighted sum of basis functions and the level set evolution problem is replaced by an optimization problem. The efficacy of PaLS is demonstrated by reconstructing attributes of a CO2 leak zone in a carbonate aquifer. Our results show that PaLS is a robust source identification method that can recover the approximate leak zone locations in the presence of measurement errors, model parameter uncertainty, and inaccurate guesses of source flux strengths. Accurate delineation of source geometry is achievable when a relatively dense observationmore »
- Authors:
-
- Univ. of Texas, Austin, TX (United States)
- Publication Date:
- Research Org.:
- Univ. of Texas, Austin, TX (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1533179
- Alternate Identifier(s):
- OSTI ID: 1374670
- Grant/Contract Number:
- FE0012231; FE0026515
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Greenhouse Gases: Science and Technology
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 4; Journal ID: ISSN 2152-3878
- Publisher:
- Society of Chemical Industry, Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; energy & fuels; engineering; environmental sciences & ecology; parametric level set method; geologic carbon sequestration; leakage pathway identification; inverse problems; reactive transport; environmental monitoring
Citation Formats
Sun, Alexander Y., Wheeler, Mary F., and Islam, Akand. Identifying attributes of CO2 leakage zones in shallow aquifers using a parametric level set method: Original Research Article: Identifying attributes of CO 2 leakage zones in shallow aquifers using a parametric level set method. United States: N. p., 2017.
Web. doi:10.1002/ghg.1665.
Sun, Alexander Y., Wheeler, Mary F., & Islam, Akand. Identifying attributes of CO2 leakage zones in shallow aquifers using a parametric level set method: Original Research Article: Identifying attributes of CO 2 leakage zones in shallow aquifers using a parametric level set method. United States. https://doi.org/10.1002/ghg.1665
Sun, Alexander Y., Wheeler, Mary F., and Islam, Akand. Wed .
"Identifying attributes of CO2 leakage zones in shallow aquifers using a parametric level set method: Original Research Article: Identifying attributes of CO 2 leakage zones in shallow aquifers using a parametric level set method". United States. https://doi.org/10.1002/ghg.1665. https://www.osti.gov/servlets/purl/1533179.
@article{osti_1533179,
title = {Identifying attributes of CO2 leakage zones in shallow aquifers using a parametric level set method: Original Research Article: Identifying attributes of CO 2 leakage zones in shallow aquifers using a parametric level set method},
author = {Sun, Alexander Y. and Wheeler, Mary F. and Islam, Akand},
abstractNote = {Leakage through abandoned wells and geologic faults poses the greatest risk to CO2 storage permanence. For shallow aquifers, secondary CO2 plumes emanating from the leak zones may go undetected for a sustained period of time and has the greatest potential to cause large-scale and long-term environmental impacts. Identification of the attributes of leak zones, including their shape, location, and strength, is required for environmental risk assessment. This study applies a parametric level set (PaLS) method to characterize leak zones. Level set methods are appealing for tracking topological changes and recovering unknown shapes of objects. However, level set evolution using the conventional level set methods is computationally challenging. In PaLS, the level set function is approximated by using a weighted sum of basis functions and the level set evolution problem is replaced by an optimization problem. The efficacy of PaLS is demonstrated by reconstructing attributes of a CO2 leak zone in a carbonate aquifer. Our results show that PaLS is a robust source identification method that can recover the approximate leak zone locations in the presence of measurement errors, model parameter uncertainty, and inaccurate guesses of source flux strengths. Accurate delineation of source geometry is achievable when a relatively dense observation network is used. The PaLS-based, source recovery framework introduced in this work is generic and can be adapted for any reactive transport model by simply switching the pre- and post-processing routines.},
doi = {10.1002/ghg.1665},
journal = {Greenhouse Gases: Science and Technology},
number = 4,
volume = 7,
place = {United States},
year = {Wed Jan 04 00:00:00 EST 2017},
month = {Wed Jan 04 00:00:00 EST 2017}
}
Web of Science
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