Application of three-dimensional fault stress models for assessment of fault stability for CO2 storage sites

Gamboa, Davide; Williams, John D.O.; Bentham, Michelle; Schofield, David I.; Mitchell, Andrew C.. 2019 Application of three-dimensional fault stress models for assessment of fault stability for CO2 storage sites. International Journal of Greenhouse Gas Control, 90, 102820. https://doi.org/10.1016/j.ijggc.2019.102820

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Official URL: http://dx.doi.org/10.1016/j.ijggc.2019.102820

Abstract/Summary

Carbon Capture and Storage (CCS) is a key technology for a low-carbon energy future and will have an important role on the economic future of the UK Continental Shelf (UKCS). The East Irish Sea Basin (EISB) is a prospective area for CCS in the western UKCS. 3D seismic from the EISB were used in this study to characterise the fault network and potential fault reactivation risks associated with CO2 injection. Two main structural domains are present: a Northern domain with NW-SE faults, and a Southern domain with faults following a N-S orientation. The main storage sites consist of structural closures in Triassic strata of the Sherwood Sandstone Formation (SSF), overlain by alternations of mudstones and evaporites of the Triassic Mercia Mudstone Group (MMG). The closures occur predominantly at fault-bounded horsts, with adjacent grabens filled by thick sequences of the Triassic Mercia Mudstone Group (MMG). The fault framework was used to test, in 3D, the stress model published for the EISB and assess the fault reactivation risk associated with CO2 storage. Slip tendency values were predominantly below 0.6, suggesting the presence of stable structures in the EISB. Under the tested conditions, faults are capable of withstanding pressure increases between 3 MPa and 10 MPa before the onset of slip. The limited fault reactivation risk suggests CCS operations are suitable prospects for the EISB. This work demonstrates the additional value gained from integration of accurately constrained fault geometries in 3D stress models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.ijggc.2019.102820
ISSN:	17505836
Date made live:	11 Oct 2019 10:59 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/525369

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.ijggc.2019.102820

ISSN:

17505836

Date made live:

11 Oct 2019 10:59 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/525369