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Metadata Files

Data Publication

Overviews and videos of top view imagery, topography data and DIC analysis results from analogue models of basin inversion

Richetti, Pâmela C | Zwaan, Frank | Schreurs, Guido | Schmitt, Renata S | Schmid, Timothy C

GFZ Data Services

(2023)

Descriptions

This data set includes videos depicting the surface evolution (time-lapse photography, topography data and Digital Image Correlation [DIC] analysis) of 11 analogue models, divided in three model series (A, B and C), simulating rifting and subsequent inversion tectonics. In these models we test how orthogonal or oblique extension, followed by either orthogonal or oblique compression, as well as syn-rift sedimentation, influenced the reactivation of rift structures and the development of new inversion structures. We compare these models with an intracontinental inverted basin in NE Brazil (Araripe Basin). All experiments were performed at the Tectonic Modelling Laboratory of the University of Bern (UB). We used an experimental set-up involving two long mobile sidewalls, two rubber sidewalls (fixed between the mobile walls, closing the short model ends), and a mobile and a fixed base plate. We positioned a 5 cm high block consisting of an intercalation of foam (1 cm thick) and Plexiglas (0.5 cm thick) bars on the top of the base plates. Then we added layers of viscous and brittle analogue materials representing the ductile and brittle lower and upper crust in our experiments, which were 3 cm and 6 cm thick, respectively. A seed made of the same viscous material was positioned at the base of the brittle layer, in order to localize the formation of an initial graben in our models. The standard model deformation rate was 20 mm/h, over a duration of 2 hours for a total of 40 mm of divergence, followed by 2 hours of convergence at the same rate (except for Models B3 and C3, since the oblique rifting did not create space for 40 mm of orthogonal inversion). For syn-rift sedimentation, we applied an intercalation of feldspar and quartz sand in the graben. Model parameters and detailed description of model set-up are summarized in Table 1, and results and their interpretation can be found in Richetti et al. (2023).

Keywords


Originally assigned keywords
Basin inversion
EPOS
multi-scale laboratories
analogue models of geologic processes
analogue modelling results
Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV)
earth interior setting > crust setting > continental-crustal setting
EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > CRUSTAL MOTION > CRUSTAL MOTION DIRECTION
EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT > FAULT MOVEMENT DIRECTION
EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > FAULT MOVEMENT > FAULT MOVEMENT RATE
EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > LITHOSPHERIC PLATE MOTION > PLATE MOTION DIRECTION
EARTH SCIENCE > SOLID EARTH > TECTONICS > PLATE TECTONICS > STRAIN
Electric engine (mm/hr)
fault > reverse fault
fault > strike-slip fault
Generic camera
graben
horst
normal fault
rift valley
rifting
Sand > Corundum Sand
Sand > Feldspar Sand
Sand > Quartz Sand
Sandbox > Sandbox (cm scale)
Sectioning
sedimentary process
Silicon/Silly putty/PDMS
SLR camera
StereoScan (Agisoft)
Surface image
tectonic and structural features
tectonic setting > extended terrane setting > continental rift setting
tectonic setting > intraplate tectonic setting
tectonic uplift
thrust fault

Corresponding MSL vocabulary keywords
camera
graben
horst
normal fault
rift valley
rift valley
rifting
StereoScan (Agisoft)
model surface monitoring (2D)
thrust fault

MSL enriched keywords
Ancillary equipment
model surface monitoring (2D)
camera
Modeled geomorphological feature
tectonic landforms
graben
horst
tectonic deformation structure
tectonic fault
normal fault
mountain and glacial landforms
rift valley
rift valley
tectonic plate boundary
divergent tectonic plate boundary
rifting
Software
StereoScan (Agisoft)
thrust fault
minerals
silicate minerals
tectosilicates
quartz
unconsolidated sediment
clastic sediment
sand
analogue modelling material
elastic modelling material
natural elastic material
natural rubber
digital image correlation (DIC)
Earth's structure
Earth crust
upper crust

MSL enriched sub domains i

analogue modelling of geologic processes

Source

https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=7ed17768-71a5-11ee-967a-4ffbfe06208e

Source publisher

GFZ Data Services


DOI

10.5880/gfz.2.5.2023.003


Creators

Richetti, Pâmela C

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Zwaan, Frank

Institute of Geological Sciences, University of Bern, Bern, Switzerland | GFZ German Research Centre for Geosciences, Potsdam, Germany | Department of Geosciences, University of Fribourg, Fribourg, Switzerland

ORCID:

https://orcid.org/0000-0001-8226-2132

Schreurs, Guido

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Schmitt, Renata S

Departamento de Geologia-IGEO, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

ORCID:

https://orcid.org/0000-0001-6349-5459

Schmid, Timothy C

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9477-9654


Contributors

Richetti, Pâmela C

ContactPerson

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Richetti, Pâmela C

DataCollector

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Richetti, Pâmela C

DataCurator

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Richetti, Pâmela C

DataManager

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Richetti, Pâmela C

ProjectMember

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Richetti, Pâmela C

Researcher

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil | Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9942-0026

Zwaan, Frank

ProjectMember

Institute of Geological Sciences, University of Bern, Bern, Switzerland | GFZ German Research Centre for Geosciences, Potsdam, Germany | Department of Geosciences, University of Fribourg, Fribourg, Switzerland

ORCID:

https://orcid.org/0000-0001-8226-2132

Zwaan, Frank

Researcher

Institute of Geological Sciences, University of Bern, Bern, Switzerland | GFZ German Research Centre for Geosciences, Potsdam, Germany | Department of Geosciences, University of Fribourg, Fribourg, Switzerland

ORCID:

https://orcid.org/0000-0001-8226-2132

Zwaan, Frank

Supervisor

Institute of Geological Sciences, University of Bern, Bern, Switzerland | GFZ German Research Centre for Geosciences, Potsdam, Germany | Department of Geosciences, University of Fribourg, Fribourg, Switzerland

ORCID:

https://orcid.org/0000-0001-8226-2132

Schreurs, Guido

ProjectMember

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Schreurs, Guido

Researcher

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Schreurs, Guido

Sponsor

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Schreurs, Guido

Supervisor

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Schmitt, Renata S

ProjectMember

Departamento de Geologia-IGEO, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

ORCID:

https://orcid.org/0000-0001-6349-5459

Schmitt, Renata S

Researcher

Departamento de Geologia-IGEO, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

ORCID:

https://orcid.org/0000-0001-6349-5459

Schmitt, Renata S

Sponsor

Departamento de Geologia-IGEO, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

ORCID:

https://orcid.org/0000-0001-6349-5459

Schmitt, Renata S

Supervisor

Departamento de Geologia-IGEO, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

ORCID:

https://orcid.org/0000-0001-6349-5459

Schmid, Timothy C

ProjectMember

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9477-9654

Schmid, Timothy C

Researcher

Institute of Geological Sciences, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-9477-9654

Tectonic Modelling Laboratory At The Institute For Geological Sciences (TecLab Bern, Switzerland)

HostingInstitution

Institute of Geological Sciences of the University of Bern, Switzerland

labid:

dd35a3d4b656f3c9bb0d88fe2ff654a2

Richetti, Pâmela C

ContactPerson

Programa de Pós-graduação em Geologia-PPGL, Universidade Federal do Rio de Janeiro, Brazil


References


Citation

Richetti, P. C., Zwaan, F., Schreurs, G., Schmitt, R. S., & Schmid, T. C. (2023). Overviews and videos of top view imagery, topography data and DIC analysis results from analogue models of basin inversion [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.2.5.2023.003


Dates

Issued:

2023


Funding References

Funder name: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Funder identifier: https://doi.org/10.13039/501100002322

Funder identifier type: Crossref Funder ID

Funder name: Shell Brasil

Funder identifier: https://doi.org/10.13039/501100014266

Funder identifier type: Crossref Funder ID

Award number: 20.219-2

Funder name: Agência Nacional do Petróleo, Gás Natural e Biocombustíveis

Funder identifier: https://doi.org/10.13039/501100006487

Funder identifier type: Crossref Funder ID

Award number: 20.219-2

Funder name: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Funder identifier: https://doi.org/10.13039/501100001711

Funder identifier type: Crossref Funder ID

Award number: 200021-178731

Funder name: Conselho Nacional de Desenvolvimento Científico e Tecnológico

Funder identifier: https://doi.org/10.13039/501100003593

Funder identifier type: Crossref Funder ID

Award number: 311748/2018-0

Funder name: Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ

Funder identifier: https://doi.org/10.13039/501100010956

Funder identifier type: Crossref Funder ID

Award title: GFZ Discovery Fund

Funder name: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Funder identifier: https://doi.org/10.13039/501100001711

Funder identifier type: Crossref Funder ID

Award number: IZSEZ0_191196/1


Rights

Creative Commons Attribution 4.0 International


Geo location(s)

study area


Spatial coordinates