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Research data . Dataset . 2013 . Embargo end date: 10 Apr 2019

High resolution seismic characterization of the shallow subsurface of the Loranca Basin (Spain): local 2D transects

Marzán, Ignacio; Martí, David; Torné, Montserrat; Ruiz Fernández, Mario; Carbonell, Ramón;
Open Access
English
Published: 09 Dec 2013
Publisher: DIGITAL.CSIC
Country: Spain
Abstract
The data acquisition contract was awarded to ENRESA and took place in November and December 2013. Seismic data was successfully collected in the Záncara river basin (Cuenca, Spain). The total amount of seismic reflection data collected was 9.7 km in 4 high-resolution seismic reflection profiles E-W oriented. Technical specifications of the profiles: Seismometer: 10 24-channel GEODE ultra-light seismic recordes, Receiver number: 240, Receiver interval: 2 m, Source: accelerated weightdrop 250 kg and 100 kg, Source interval: 6 m, Sample rate: 1 ms, Record time: 4 s. Contact person: Carbonell, R., rcarbo@ictja.csic.es
A high-resolution 2-D seismic reflection survey was acquired to obtain a seismic image of the geological structure of the Záncara river basin (eastern Spain). The study area consists of lutites and gypsum from a Neogene sedimentary sequence. The project also targeted the geometry of the geological structure and the mechanical properties of the underground materials. In addition, this study allowed for an improvement of the geophysical acquisition technics and protocols that provided with a better resolution seismic imaging. Thus, reducing costs and improving the effectiveness of the seismic acquisition.
Convenio Colaboración CSIC-ENRESA. Código CSIC: 20133830
Peer reviewed
Subjects

Seismic:Active:MCS, DigitalSeg, SEGY, Seismic:Reflection, Seismometer_SingleFrequency, SeismicSource_Accelerated weight drop, Active:MCS [Seismic], DigitalSeg, SEGY, Reflection [Seismic], Seismometer_SingleFrequency, SeismicSource_Accelerated weight drop

Related Organizations
Funded by
EC| EPOS IP
Project
EPOS IP
EPOS Implementation Phase
  • Funder: European Commission (EC)
  • Project Code: 676564
  • Funding stream: H2020 | RIA
Validated by funder
Related to Research communities
EPOS
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