| Publisher |
Society of Petroleum Engineers
| Language | English |
| Document ID | 135483-MS | DOI
 | 10.2118/135483-MS |
| Content Type | Conference Paper |
| Title | Model To Predict CO2 Leakage Rates Along a Wellbore |
| Authors |
Qing Tao, SPE, Dean Checkai, SPE, Nicolas Huerta, SPE, and Steven L. Bryant,
SPE, University of Texas at Austin
|
| Source |
SPE Annual Technical Conference and Exhibition,
19-22 September 2010,
Florence, Italy
|
| ISBN | 978-1-55563-300-4 |
| Copyright |
2010. Society of Petroleum Engineers
|
Discipline Categories | 2.5.1 Global Climate Change/CO2 Capture and Management
|
| Preview |
Abstract
Large-scale geological storage of CO2 is likely to bring CO2 plumes into
contact with a large number of existing wellbores. The flux of CO2 along a
leaking wellbore requires a model of fluid properties and of transport along
the leakage pathway. The leakage pathway in wells that exhibit sustained casing
pressure (SCP) is analogous to the rate-limiting part of the pathway in
existing wellbores along which CO2 may leak. Thus field observations of SCP can
be used to estimate transport properties of a CO2 leakage pathway. We develop a
more robust optimization algorithm to get the best data fit in the SCP model.
Constraints from well construction geometry and from physical considerations
reduce the range of estimated permeability. We then describe a simple CO2
leakage model. The model accounts for variation in CO2 properties along the
leakage path and allows the path to terminate in an unconfined (constant
pressure) exit. The latter assumption provides a worst-case leakage flux.
Using pathway permeabilities consistent with observations in SCP wells, we
obtain a range of CO2 fluxes for various boundary conditions. In leakage
pathways corresponding to the slow but nonnegligible buildup of casing
pressure, the CO2 fluxes are comparable to naturally occurring background
fluxes observed at ground surface. In pathways corresponding to rapid buildup
of casing pressure, the fluxes are comparable to measurements at Crystal Geyser
(Utah), a natural CO2 seep. Uncertainty in pathway permeability has a
first-order effect on uncertainty of CO2 flux. Uncertainty in the length of the
pathway has a comparatively minor effect. Increasing the CO2 at the base of the
pathway does not dramatically increase the CO2 flux above the purely
buoyancy-driven value.
Introduction
Geologic storage is one of the key technologies to reduce anthropogenic
emissions of CO2 (IPCC, 2005). The success of any geologic CO2 sequestration
operation depends on our ability to ensure that injected CO2 is properly
credited and that assets overlying the storage reservoir remain uncontaminated.
To achieve both goals we need to verify that CO2 does not leak out of the
target formation at a rate large enough to adversely affect other compartments
of economic or environmental value (Oldenburg et al., 2009). A physics-based
model for leakage will be a valuable tool for assessing risks associated with a
prospective storage project and for analyzing field observations.
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| File Size | 392 KB
| Number of Pages | 15 |