FIRE3&amp;3a

Korja, T.; Heikkinen, Pekka; Tiira, Timo; Nikkilä, Kaisa

doi:10.1002/9781119158332.ch40

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…In urban or protected areas, drilling of new boreholes and acquisition of novel seismic reflection data can be complex or hampered by high costs, complex logistics, and environmental limitations. In the past several decades, several research projects have successfully acquired deep seismic profiles, which have been used to build up regional and/or relatively large-scale crustal models (e.g., LITHOPROBE, Clowes et al, 1968;Clowes et al, 1999;Hope et al, 1999;COCORP;Cook et al, 1979;BIRPS;Brewer et al, 1983;ECORS;Roure et al, 1989;DEKORP;Meissner and Bortfeld, 1990;TAICRUST;Nakamura et al, 1998;CROP;Barchi et al, 1998;Pialli et al, 1998;Finetti et al, 2001;Pauselli et al, 2006;IBERSEIS;Simancas et al, 2003;TRANSALP;Castellarin et al, 2004;FIRE;Kukkonen et al, 2006;Korja et al, 2018;ALCUDIA;Ehsan et al, 2014;Ehsan et al, 2015). Data corresponding to these unique largescale crustal and lithospheric research programs are currently available through open seismic data repositories such as LITHOPROBE (Clowes, 2010), OPENFIRE (Heinonen et al, 2017, https://helda.helsinki.fi/handle/10138/225858), and SEISDARE (Deng and Stauffer, 2006).…”

Section: Open Access Edited Bymentioning

confidence: 99%

Evidencing subtle faults in deep seismic reflection profiles: Data pre-conditioning and seismic attribute analysis of the legacy CROP-04 profile

et al. 2023

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Legacy seismic reflection data constitute infrastructure of tremendous value for basic research. This is especially relevant in seismically hazardous areas, as such datasets can significantly contribute to the seismotectonic characterization of the region. The quality of the data and the resulting image can be effectively improved by using modern tools, such as pre-conditioning techniques and seismic attributes. The latter are extensively used by the hydrocarbon exploration industry, but are still only poorly applied to the study of active faults. Pre-conditioning filters are effective in removing random noise, which hampers the detection of subtle geologic structures (i.e., normal faults). In this study, a workflow including pre-conditioning and extraction of seismic attributes is used to improve the quality of the CROP-04 deep seismic reflection profile. CROP-04 was acquired in the 1980s across the Southern Apennines mountain range, one of the most hazardous seismically active regions in Italy. The results show the capacity of this method to extract, from low-resolution legacy data, subtle seismic fabrics that correspond to a dense network of fault sets. These seismic signatures and the enhanced discontinuities disrupting the reflections, which were invisible in the original data, correlate well with the main regional normal faults outcropping at the surface. Moreover, the data reveal higher structural complexity, due to many secondary synthetic and antithetic structures, knowledge of which is useful in modeling of the local and regional distribution of the deformation and potentially in guiding future field mapping of active faults. This proposed approach and workflow can be extended to seismotectonic studies of other high-hazard regions worldwide, where seismic reflection data are available.

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Section: Open Access Edited Bymentioning

confidence: 99%

Evidencing subtle faults in deep seismic reflection profiles: Data pre-conditioning and seismic attribute analysis of the legacy CROP-04 profile

et al. 2023

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The Vaasa Migmatitic Complex (Svecofennian Orogen, Finland): Buildup of a LP‐HT Dome During Nuna Assembly

et al. 2020

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Tectonic evolution of the Paleoproterozoic Vaasa migmatitic complex (VMC) in the central part of the Svecofennian accretionary orogen is deciphered using aeromagnetic and gravity maps, deep seismic and magnetotelluric profiles, and structural and metamorphic data. The VMC is a semicircular structure with migmatitic rim and granitic core composed of several subdomes. It evolved in three main tectonic events (D1-D3). The D1 event (ca. 1.89-1.88 Ga) corresponds to the stacking of supracrustal rocks and the formation of an inverted metamorphic gradient. Anatexis at LP-HT metamorphic conditions enabled the material to flow. The D2 event (ca. 1.88-1.87 Ga) corresponds to large-scale folding of the partially molten crust within an orocline. It is marked by folds with an E-W vertical axial planar foliation. The late D3 event resulted from mass redistribution owing to mechanical instabilities within the hinge of the orocline. It is marked by vertical shearing (ca. 1.87-1.85 Ga) in the marginal parts of the complex and along the granitoid subdomes. The seismic reflection profile (FIRE 3a) and magnetotelluric profiles (MT-PE and MT-B2) image large-scale D1 stacking structures within an accretionary prism. Near vertical breaks in crustal-scale reflectivity and conductivity models are interpreted as D3 shear zones. The VMC is an example of early mass and heat transfer within a collage of hot supracrustal rocks in an accretionary belt. Partial melting enhanced the flow of material, the production, and rise of magma as well as exhumation, marked by magmatic domes in the hinge of the orocline.

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FIRE3&3a

Cited by 2 publications

References 7 publications

Evidencing subtle faults in deep seismic reflection profiles: Data pre-conditioning and seismic attribute analysis of the legacy CROP-04 profile

Evidencing subtle faults in deep seismic reflection profiles: Data pre-conditioning and seismic attribute analysis of the legacy CROP-04 profile

The Vaasa Migmatitic Complex (Svecofennian Orogen, Finland): Buildup of a LP‐HT Dome During Nuna Assembly

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