Bláthnaid is working on processing and interpretation of 2D active-source reflection seismic profiles that were acquired as part of Smart Exploration at the Yara Siilinjärvi phosphate mine site. The end goal is to use the reflection seismic data, along with other geophysical and geological data, to determine the depth and the lateral extent of the southern continuation of the phospate-bearing Siilinjärvi carbonatite complex.

Viveka is working on processing and interpretation of 2D active-source reflection seismic, ground penetrating radar and magnetic data from the Siilinjärvi phospate mine site operated by Yara. Her MSc thesis focuses on combined interpretation and geological modeling of these data, with particular emphasis on the waste-rock dyke network that cross-cuts the phospate-bearing Siilinjärvi carbonatite complex.

Jimmy is employed by Nordic Iron Ore AB and stationed in Ludvika, Sweden. He is involved in reopening the brown field sites of Blötberget mine and Håksberg mine. Furthermore he is involved in the exploration of the area situated in between the two brown field mines.

Her PhD project is supervised by Dr. Thomas Kalscheuer at Uppsala University. Paula is focusing on the inclusion of surface and borehole measurement configurations and variable magnetic permeability.

Federico is a Postdoctoral Research Associate at the Technical University of Torino (PoliTO), Italy. He is developing innovative methods for surface wave retrieval, processing and inversion from active and passive data (Tasks 3.1 and 4.4).

Tatiana’s PhD work is focused on reflection seismic imaging solutions for deep targeting mineral deposits with a special case study on iron-oxide mineralization in the Ludvika Mines of Sweden. Her work will involve evaluating the performance of the electric vibrator developed in the project, processing, developing new attributes in hard rock environment. 

Yinshuai’s work is to apply both conventional and novel seismic imaging methods for targeting deep ore deposits. His research goal is to deliver high-resolution and high-fidelity seismic images for assisting mining exploration. 

Ewelina works as a geophysicist in Geopartner Geofizyka Ltd. based in Cracow, Poland. She is involved in data & target generation tasks through processing and geophysical inversion of ERT data acquired in search of chromite deposits.

Emmanuel’s master thesis involves using sparse reflection seismic data for characterization and deep targeting. Hosted by Uppsala University, he will focus on the high-resolution imaging of an obscure area of the Blötberget iron-oxide deposit underlying the tailing area as well as the geomechanical characterization of the historical tailings at in the area.

Albina is a Postgraduate MSc student at Politecnico di Torino. Her MSc thesis project is related to static corrections estimation with surface-wave tomography on the Siilinjärvi site in Finland. She assessed the feasibility of SW tomography for the estimation of near surface velocity model to be used for static correction of seismic reflection data for mineral exploration.

As a proponent of sustainable mineral exploration techniques, Ross is working with UAV-based magnetic data for 2D and 3D modelling of the Blötberget apatite-bearing iron-oxide deposits near Ludvika, central Sweden. The models produced during his MSc thesis will better constrain the geometry of the ore bodies and host rock, thereby allowing for an updated estimation of mineral resources to be given.

Elshan’s thesis is based on the validation of automatic dispersion curve picking in exploration data as a part of Smart Exploration. He has been testing the performance of an automatic dispersion curve picking method by implementing a tool for the automatic comparison of the DCs which were manually and automatically picked corresponding to the same receiver-pair and source sets.

While completing his Masters Thesis, Richard implemented a workflow for Full Waveform Sonic Logs in order to derive a high-resolution internal image of the ore body in Ludvika. In general, surface seismics are used to investigate the depth and lateral extent of a deposit in 3D. To gain more precise information about the ore quantity/quality, it is important to map the internal structure of the deposit with the highest resolution.