management of large seismic datasets
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Management of Large Seismic Datasets S. Kasra Hosseini Zad Dr. - PowerPoint PPT Presentation

Management of Large Seismic Datasets S. Kasra Hosseini Zad Dr. Karin Sigloch Simon Sthler Dr. Tarje Nissen Meyer Special Thanks to: Robert Barsch Motivation 14080x1000x3 = ~40,000,000 waveforms = ~40,000,000 Response = 14 TB NDLB part I


  1. Management of Large Seismic Datasets S. Kasra Hosseini Zad Dr. Karin Sigloch Simon Stähler Dr. Tarje Nissen Meyer Special Thanks to: Robert Barsch

  2. Motivation 14080x1000x3 = ~40,000,000 waveforms = ~40,000,000 Response = 14 TB

  3. NDLB part I 1. Process-centric 2. Data-centric

  4. Continuous and Event-based seismograms

  5. Plots

  6. Response file u = convolution(source, earth, instrument) Response: Function of the sensor (poles and ● zeros+constant gain (vol to m/s)) Filters (analog signal to digitized sample) ● [poles and zeros] digitizers → series of low pass and decimation → output sampling rate

  7. Instrument Correction

  8. Selecting required seismograms

  9. NDLB vs rdseed+SAC

  10. Cutting TF Windows

  11. Process-centric...one example (Wadati-Benioff Zone)

  12. Thank you!

  13. Close Future! 1. STA/LTA (Short/Long Term Averaging) 2. Compute Synthetic Seismograms (AXISEM)

  14. Instrument Correction 1. RTR 2. Taper

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