SIT4ME: seismic imaging of mineral-hosting structures in Sotiel-Coronada (Spain) 5. The SIT4ME “Seismic Imagin Techniques for Mineral Exploration project is supported by EIT-RawMaterials (17024). The data acquisition instrumentation UNITE-Sercel recording instruments were provided by the CSIC-ICTJA’s Seismic Lab (the 3C’s), DMT GmbH and, Uppsala Univ. The Vibroseis Truch was provided by TUBAF. The authors acknowledge help provided by MATSA to be able to access their facility and being able to account with their help. Acknowledgements Geological setting 2. Figure 1: Geological map of the Iberian Pyrite Belt showing the location of the Sotiel Mine and the main mining districts. Gonzalez et al., 2006. References Gonzalez, F., Moreno, C., and Santos, A., [2006], The massive sulphide event in the Iberian Pyrite Belt: confirmatory evidence from the Sotiel-Coronada Mine. Geol. Mag. 143 (6), pp. 821–827. No. of vibration points Vibration points spacing Source type Sweep length Frequency range No. of receiver points 3-component receivers 1-component receivers Sample rate Receiver spacing 875 10 m Vibroseis truck (32 t) 15 seconds 10-100 Hz 653 247 406 4ms 20m Table 1: Data acquisition parameters Yesenia Martínez (1,2), Juan Alcalde (1), David Martí (3), Puy Ayarza (2), Mario Ruiz (1), Ignacio Marzán (1), Fernando Tornos (4), Alireza Malehmir (5), Alba Gil (5), Stefan Buske (6), Dirk Orlowsky (7), Imma Palomeras (2), Juan Manuel Pons (8), Juan Carlos Videira (8), Irene De Felipe (1), and Ramon Carbonell (1) 1Salamanca University, Geology, Salamanca, Spain ([email protected]) 2Department of Geology, University of Salamanca, Spain 3Lithica SCCL, Spain 4Institute of Geosciences, CSIC-UCM, Spain 5Department of Earth Sciences, Uppsala University, Sweden 6Technische Universität Bergakademie Freiberg, Germany 7DMT GmbH & Co, Germany 8MATSA, Almonaster la Real (Huelva, Spain) EGU2020-22146 Processing Geometry 3. Figure 2: Distribution of the (A) geophones , (B) vibration points across the study area and seismic lines in light blue. (C) CDP fold coverage calculated from a CDP bin size of 5m. A B C L1’ L1 L2 L2’ L3’ L3 L4’ L4 Figure 4: 2D Stack of the Sotiel- Coronada data. Location of the stack section in figure 2 (B). Correlation between seismic images (L1) and drill cores data information (B). Massive sulfides layer projected to seismic profile L1 (C). A B C Results 5. South North North South Figure 3: Shot gathers example from L1. A) Raw data and B) processed shot with a reflection marked by a red arrow. The data processing applied consist oy fin: noise trace edition, static corrections (elevation + refraction statics), airy wave mute (340m/s), surgical mute, amplitude equalization, frequency filter (20-30-65-90 Hz) and notch (50Hz). Data Processing 4. Introduction 1. Our society is greatly dependent on raw materials and their ever-increasing demand puts their supply under strong pressure. The European Institute of Innovation and Technology (EIT) with its RawMaterials Programme promotes research and innovation solutions for sustainable mineral exploration (www.rawmaterials.eu). Within this framework, the SIT4ME project, supported by the EIT, aims to develop and assess seismic imaging approaches for mineral exploration within crystalline (hard-rock) environment, at a reduced cost. The SIT4ME project seeks to test the efficiency of different seismic approaches for subsurface imaging including: control and natural source seismic data-sets. Two world-class case studies are being developed in active mine sites (in Sweden and Spain).

SIT4ME: seismic imaging of mineral-hosting structures in … · 2020-05-08 · SIT4ME: seismic imaging of mineral-hosting structures in Sotiel-Coronada (Spain) 5. The SIT4ME “SeismicImagin

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SIT4ME: seismic imaging of mineral-hosting structures in

Sotiel-Coronada (Spain)

The SIT4ME “Seismic Imagin Techniques for Mineral Exploration project is supported by EIT-RawMaterials (17024). The dataacquisition instrumentation UNITE-Sercel recording instruments were provided by the CSIC-ICTJA’s Seismic Lab (the 3C’s),DMT GmbH and, Uppsala Univ. The Vibroseis Truch was provided by TUBAF. The authors acknowledge help provided byMATSA to be able to access their facility and being able to account with their help.

Acknowledgements

Geological setting2.

Figure 1: Geological map of the Iberian Pyrite Belt showing the location of the Sotiel Mine and themain mining districts. Gonzalez et al., 2006.

References

Gonzalez, F., Moreno, C., and Santos, A., [2006], The massive sulphide event in the Iberian Pyrite Belt: confirmatory evidencefrom the Sotiel-Coronada Mine. Geol. Mag. 143 (6), pp. 821–827.

No. of vibration pointsVibration points spacingSource typeSweep lengthFrequency rangeNo. of receiver points3-component receivers1-component receiversSample rateReceiver spacing

87510 mVibroseis truck (32 t)15 seconds10-100 Hz6532474064ms20m

Table 1: Data acquisition parameters

Yesenia Martínez (1,2), Juan Alcalde (1), David Martí (3), Puy Ayarza (2), Mario Ruiz (1), Ignacio Marzán (1), Fernando Tornos (4), Alireza Malehmir (5), Alba Gil (5), Stefan Buske (6), DirkOrlowsky (7), Imma Palomeras (2), Juan Manuel Pons (8), Juan Carlos Videira (8), Irene De Felipe (1), and Ramon Carbonell (1)

1Salamanca University, Geology, Salamanca, Spain ([email protected])2Department of Geology, University of Salamanca, Spain3Lithica SCCL, Spain4Institute of Geosciences, CSIC-UCM, Spain

5Department of Earth Sciences, Uppsala University, Sweden6Technische Universität Bergakademie Freiberg, Germany7DMT GmbH & Co, Germany8MATSA, Almonaster la Real (Huelva, Spain)

EGU2020-22146

Processing Geometry3.

Figure 2: Distribution of the (A) geophones , (B) vibration points across the study area and seismic lines inlight blue. (C) CDP fold coverage calculated from a CDP bin size of 5m.

A B C

L1’

L2’

L3’L3

L4’

Figure 4: 2D Stack of the Sotiel-Coronada data. Location of the stacksection in figure 2 (B). Correlationbetween seismic images (L1) anddrill cores data information (B).Massive sulfides layer projected toseismic profile L1 (C).

Results5.

South North

North South

Figure 3: Shot gathers example from L1. A) Raw data and B) processed shot with a reflectionmarked by a red arrow. The data processing applied consist oy fin: noise trace edition, staticcorrections (elevation + refraction statics), airy wave mute (340m/s), surgical mute, amplitudeequalization, frequency filter (20-30-65-90 Hz) and notch (50Hz).

Data Processing4.

Introduction1.

Our society is greatly dependent on raw materials and their ever-increasing demandputs their supply under strong pressure. The European Institute of Innovation andTechnology (EIT) with its RawMaterials Programme promotes research andinnovation solutions for sustainable mineral exploration (www.rawmaterials.eu).Within this framework, the SIT4ME project, supported by the EIT, aims to developand assess seismic imaging approaches for mineral exploration within crystalline(hard-rock) environment, at a reduced cost. The SIT4ME project seeks to test theefficiency of different seismic approaches for subsurface imaging including: controland natural source seismic data-sets. Two world-class case studies are beingdeveloped in active mine sites (in Sweden and Spain).