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In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment
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In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

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By Zeno Heilmann (CRS4)

By Zeno Heilmann (CRS4)

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  • 1. In-field optimization of seismic data acquisition by real-time subsurface imaging using a remote GRID computing environment Zeno Heilmann*, Ana M. Vallenilla*, Guido Satta*, and Ernesto Bonomi* *Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna
  • 2. Overview The Grida3 projectThe basic concept of EIAGRID The EIAGRID portal Data Examples Conclusions
  • 3. Grida3, Shared Resources Manager for Environmental Data Analysis and ApplicationsThe Grida3 portal aims atsupporting problem solving and APPLICATIONSdecision making by integrating resources for  communication GIS Tools  computation Site  data storage Meteorology Remediation software for  simulation  inversion Geophysical  visualization Hydrology and human know how Imaginginto a grid computing platformfor Environmental Sciences Secure access Infrastructure User Interfaces TECHNOLOGIES
  • 4. Grida3, Shared Resources Manager for Environmental Data Analysis and ApplicationsThe Grida3 portal aims atsupporting problem solving and APPLICATIONSdecision making by integrating resources for  communication GIS Tools  computation Site  data storage Meteorology Remediation software for  simulation  inversion Geophysical  visualization Hydrology and human know how EIAGRID Imaginginto a grid computing platform Servicefor Environmental Sciences Secure access Infrastructure User Interfaces TECHNOLOGIES
  • 5. The EIAGRID Portal Main ObjectivesCreating a grid computing environment for in-field QC andOptimization of SR/GPR data acquisition by:
  • 6. The EIAGRID Portal Main ObjectivesCreating a grid computing environment for in-field QC andOptimization of SR/GPR data acquisition by: 1. Providing a web-browser-based user interface easily accessible from the field 2. On-the-fly processing of the seismic field data using a remote GRID environment 3. Fast optimization of data analysis and imaging parameters by parallel processing of alternative workflows
  • 7. The EIAGRID Portal Main ObjectivesCreating a data grid environment to facilitate analysis &decision making in integrated multi-disciplinary studies by: 1. Providing a flexible and customizable data grid management architecture using iRODS 2. Georeferencing the data using Geo Information System (GIS) technologies 3. Interconnecting the different types of data by mesh-generators and data crossing techniques
  • 8. The EIAGRID Portal Main ObjectivesCreating a data grid environment to facilitate analysis &decision making in integrated multi-disciplinary studies by: 1. Providing a flexible and customizable data grid management architecture using iRODS 2. Georeferencing the data using Geo Information System (GIS) technologies 3. Interconnecting the different types of data by mesh-generators and data crossing techniques
  • 9. Seismic reflection data acquisition
  • 10. Seismic reflection data processing InputSeismic Records
  • 11. Seismic reflection data processing Input SystemSeismic Records Processing Phases
  • 12. Seismic reflection data processing Input SystemSeismic Records Processing Phases
  • 13. Seismic reflection data processing Input SystemSeismic Records Processing Phases
  • 14. Seismic reflection data processing Input SystemSeismic Records Processing Phases
  • 15. Seismic reflection data processing Input System OutputSeismic Records Processing Phases Subsurface Image
  • 16. Seismic reflection data processing Input System OutputSeismic Records Processing Phases Subsurface Image
  • 17. Main Problem of SR/GPR acquisition:Real-time processing is difficult and cost intensive Acquisition parameters such as recording time, sampling interval, source strength and receiver spacing cannot be optimized in the field Solution: Wireless data transmission + remote GRID computing facilities
  • 18. Remote Grid ComputingPreprocessing and Visualization using SU: Basic preprocessing steps can be applied without installing the complex SU processing package.Imaging and RSC using CRS technology: Data-driven CRS imaging technology---state-of-the-art in oil exploration---enables highly automated data processing. GRID deployment using high performance computing facilities provides the necessary computing power.Parallel processing of different workflows: Cumbersome sequential optimization of processing workflow and processing parameters speeds up drastically.
  • 19. The EIAGRID Portal
  • 20. The EIAGRID Portal
  • 21. Data-set uploading and format conversion Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 22. Data-set uploading and format conversion Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 23. Data-set uploading and format conversion Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 24. Data-set uploading and format conversion Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 25. Data-set uploading and format conversion Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 26. Creating a project using the uploaded data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 27. Creating a project using the uploaded data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 28. Preprocessing the uploaded data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 29. Preprocessing the uploaded data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 30. Preprocessing the uploaded data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 31. Displaying the jobs Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 32. Data visualization tools Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 33. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 34. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 35. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 36. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 37. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 38. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 39. CRS data processing Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 40. Workflows running in parallel
  • 41. iRods Implementation for data-grid management Available actions from local spooler. The user can save, download, and eliminate files from iRods space Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 42. iRods Implementation for data-grid management Data and collections management protocol implemented in the remote spooler Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 43. Time domain imaging Results SR data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 44. Time domain imagingPublished in: Deidda, G. P., Ranieri, G, Uras, G., Cosentino, P.,Martorana, R., 2006: Geophysical investigations in the FlumendosaRiver Delta, Sardinia (Italy) --- Seismic reflection imaging:Geophysics, 71, B121–B128. Results SR data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 45. Time domain imaging Results GPR data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 46. Time domain imagingPublished in: Perroud, H., and Tygel, M., 2005, Velocity estimation bythe common-reflection-surface (CRS) method: Using ground-penetrating radar: Geophysics, 70, 1343–1352. Results GPR data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 47. New field study using SH-waves (DIT) Advantage of shear wave data:Neither ground roll nor direct waves are generated Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 48. Time domain imagingObtained using the EIAGRID portal Results shear wave data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 49. Time domain imagingObtained using Seismic Processing Workshop © (Parallel Geoscience Corporation) Results shear wave data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 50. ConclusionsEIAGRID  ...minimizes the software and hardware requirements needed to perform a successful SR/GPR data acquisition.  ...reduces the complexity of data QC and choice of acquisition parameter for less experienced users.  …provides fast and accurate results by using modern imaging technology and high performance computing.  … facilitates the creation of an integrated geophysical database for environmental studies. Enables a wider use of SR/GPR surveys in environmental and earth sciences through Grid technologies
  • 51. Thank you for your attention…
  • 52. Acknowledgments