Kylylahti 3D virtual seismic survey

Description

This repository contains the results of passive imaging component of the comprehensive COGITO-MIN research project aiming for development of an efficient integrated exploration workflow ranging from regional-scale exploration to detailed resource delineation and mine planning. Passive seismic experiment was performed in the Kylylahti polymetallic (Cu-Co-Zn-Ni-Ag-Au) mine area between early August to late September 2016 as a part of the COGITO-MIN (COst-effective Geophysical Imaging Techniques for supporting Ongoing MINeral exploration in Europe) project. We used 994 receiver stations distributed regularly over the 3.5 x 3 km area with 200 m line spacing and 50 m receiver interval. Surface conditions varied between exposed bedrock to swamps. Each receiver station consists of the Geospace GSR recorder and 6 x 10-Hz geophones bunched together and buried whenever possible, recording at a 2 ms sample rate for 20 hrs/day for 30 days. As a result, we recorded over 600 hours of ambient noise data per each receiver. In addition, the 3D grid recorded irregularly distributed active shots (both explosives and Vibroseis) specifically designed for the 3D active-source survey as well as those from the 2D seismic profiles crossing the 3D grid. Therefore, a low-fold 3D active-source seismic survey was also acquired to benchmark the results of the passive survey. Data in this repository consists of two sets of virtual-source gathers (VSGs) constructed using selective stacking approach and using all-data approach, and the results of conventional reflection processing applied to these two sets of VSGs. These data sets have been explained in more detail in the data folder.
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Year of publication

2021

Type of data

Authors

Boliden Kevitsa Mining Oy

Sanna Rötsä - Contributor

Delft University of Technology

Deyan Draganov - Contributor

Suvi Heinonen - Contributor

Institute of Geophysics, Polish Academy of Sciences

Michal Malinowski - Contributor

Michal Chamarczuk Orcid -palvelun logo - Creator

Emilia Koivisto - Contributor, Publisher

Project

Other information

Fields of science

Physical sciences; Geosciences

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

mining, Finland, seismology, ambient noise imaging, Kylylahti mine, large-N array, mineral exploration, seismic imaging, geophysics

Subject headings

geosciences, mining areas

Temporal coverage

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