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Titel |
Fault kinematics and retro-deformation analysis for prediction of potential leakage pathways - joint project PROTECT |
VerfasserIn |
Jennifer Ziesch, David C. Tanner, Tess Dance, Thies Beilecke, Charlotte M. Krawczyk |
Konferenz |
EGU General Assembly 2014
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 16 (2014) |
Datensatznummer |
250087810
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Publikation (Nr.) |
EGU/EGU2014-1868.pdf |
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Zusammenfassung |
Within the context of long-term CO2 storage integrity, we determine the seismic and
sub-seismic characteristics of potential fluid migration pathways between reservoir and
surface. As a part of the PROTECT project we focus on the sub-seismic faults of the
CO2CRC Otway Project pilot site in Australia. We carried out a detailed interpretation of 3D
seismic data and have built a geological 3D model of 8 km x 7 km x 4.5 km (depth). The
model comprises triangulated surfaces of 8 stratigraphic horizons and 24 large-scale faults
with 75 m grid size. We have confirmed the site to comprise a complex system of
south-dipping normal faults and north-dipping antithetic normal faults. Good knowledge of
the kinematics of the large-scale faults is essential to predict sub-seismic structures. For this
reason preconditioning analyses, such as thickness maps, fault curvature, cylindricity and
connectivity studies, as well as Allan mapping were carried out. The most important aspect is
that two different types of fault kinematics were simultaneously active: Dip-slip and a
combination of dip-slip with dextral strike slip movement. Using these input parameters
stratigraphic volumes are kinematically restored along the large-scale faults, taking
fault topography into account (retro-deformation). The stratigraphic volumes are
analyzed at the same time with respect to sub-seismic strain variation. Thereby
we produce strain tensor maps to locate highly deformed or fractured zones and
their orientation within the stratigraphic volumes. We will discuss the results in the
framework of possible fluid/gas migration pathways and communication between
storage reservoir and overburden. This will provide a tool to predict CO2 leakage
and thus to adapt time-dependent monitoring strategies for subsurface storage in
general.
Acknowledgement:
This work was sponsored in part by the Australian Commonwealth Government through the
Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC). PROTECT
is funded through the Geotechnologien research programme in Germany (grant
03G0797). |
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