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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
Overview

     The Grida3 project

The basic concept of EIAGRID

    The EIAGRID portal

       Data Examples

        Conclusions
Grida3, Shared Resources Manager for
         Environmental Data Analysis and Applications

The Grida3 portal aims at
supporting problem solving and             APPLICATIONS
decision 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                                              Imaging

into a grid computing platform
for Environmental Sciences

                           Secure access     Infrastructure    User Interfaces


                                           TECHNOLOGIES
Grida3, Shared Resources Manager for
         Environmental Data Analysis and Applications

The Grida3 portal aims at
supporting problem solving and             APPLICATIONS
decision 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
                                                                  Imaging

into a grid computing platform                                 Service
for Environmental Sciences

                           Secure access     Infrastructure    User Interfaces


                                           TECHNOLOGIES
The EIAGRID Portal
                       Main Objectives
Creating a grid computing environment for in-field QC and
Optimization of SR/GPR data acquisition by:
The EIAGRID Portal
                       Main Objectives
Creating a grid computing environment for in-field QC and
Optimization 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
The EIAGRID Portal
                       Main Objectives
Creating 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
The EIAGRID Portal
                       Main Objectives
Creating 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
Seismic reflection data acquisition
Seismic reflection data processing
     Input
Seismic Records
Seismic reflection data processing
     Input                  System
Seismic Records         Processing Phases
Seismic reflection data processing
     Input                  System
Seismic Records         Processing Phases
Seismic reflection data processing
     Input                  System
Seismic Records         Processing Phases
Seismic reflection data processing
     Input                  System
Seismic Records         Processing Phases
Seismic reflection data processing
     Input                  System                Output
Seismic Records         Processing Phases   Subsurface Image
Seismic reflection data processing
     Input                  System                Output
Seismic Records         Processing Phases   Subsurface Image
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
Remote Grid Computing
Preprocessing 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.
The EIAGRID Portal
The EIAGRID Portal
Data-set uploading and format conversion




                                 Near Surface & Environment &
                                Geotechnical Geophysics: SO-14
Data-set uploading and format conversion




                                 Near Surface & Environment &
                                Geotechnical Geophysics: SO-14
Data-set uploading and format conversion




                                 Near Surface & Environment &
                                Geotechnical Geophysics: SO-14
Data-set uploading and format conversion




                                 Near Surface & Environment &
                                Geotechnical Geophysics: SO-14
Data-set uploading and format conversion




                                 Near Surface & Environment &
                                Geotechnical Geophysics: SO-14
Creating a project using the uploaded data




                                   Near Surface & Environment &
                                  Geotechnical Geophysics: SO-14
Creating a project using the uploaded data




                                   Near Surface & Environment &
                                  Geotechnical Geophysics: SO-14
Preprocessing the uploaded data




                            Near Surface & Environment &
                           Geotechnical Geophysics: SO-14
Preprocessing the uploaded data




                            Near Surface & Environment &
                           Geotechnical Geophysics: SO-14
Preprocessing the uploaded data




                            Near Surface & Environment &
                           Geotechnical Geophysics: SO-14
Displaying the jobs




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
Data visualization tools




                            Near Surface & Environment &
                           Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
CRS data processing




                       Near Surface & Environment &
                      Geotechnical Geophysics: SO-14
Workflows running in parallel
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
iRods Implementation for data-grid management




       Data and collections management protocol implemented in
                           the remote spooler
                                                              Near Surface & Environment &
                                                             Geotechnical Geophysics: SO-14
Time domain imaging




     Results SR data    Near Surface & Environment &
                       Geotechnical Geophysics: SO-14
Time domain imaging




Published in: Deidda, G. P., Ranieri, G, Uras, G., Cosentino, P.,
Martorana, R., 2006: Geophysical investigations in the Flumendosa
River Delta, Sardinia (Italy) --- Seismic reflection imaging:
Geophysics, 71, B121–B128.


                      Results SR data            Near Surface & Environment &
                                                Geotechnical Geophysics: SO-14
Time domain imaging




     Results GPR data    Near Surface & Environment &
                        Geotechnical Geophysics: SO-14
Time domain imaging




Published in: Perroud, H., and Tygel, M., 2005, Velocity estimation by
the common-reflection-surface (CRS) method: Using ground-
penetrating radar: Geophysics, 70, 1343–1352.

                          Results GPR data          Near Surface & Environment &
                                                   Geotechnical Geophysics: SO-14
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
Time domain imaging




Obtained using the EIAGRID portal


       Results shear wave data
                                  Near Surface & Environment &
                                 Geotechnical Geophysics: SO-14
Time domain imaging




Obtained using Seismic Processing Workshop ©
       (Parallel Geoscience Corporation)
             Results shear wave data
                                        Near Surface & Environment &
                                       Geotechnical Geophysics: SO-14
Conclusions
EIAGRID
     ...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
Thank you for your
   attention…
Acknowledgments

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

  • 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 project The basic concept of EIAGRID The EIAGRID portal Data Examples Conclusions
  • 3. Grida3, Shared Resources Manager for Environmental Data Analysis and Applications The Grida3 portal aims at supporting problem solving and APPLICATIONS decision 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 Imaging into a grid computing platform for Environmental Sciences Secure access Infrastructure User Interfaces TECHNOLOGIES
  • 4. Grida3, Shared Resources Manager for Environmental Data Analysis and Applications The Grida3 portal aims at supporting problem solving and APPLICATIONS decision 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 Imaging into a grid computing platform Service for Environmental Sciences Secure access Infrastructure User Interfaces TECHNOLOGIES
  • 5. The EIAGRID Portal Main Objectives Creating a grid computing environment for in-field QC and Optimization of SR/GPR data acquisition by:
  • 6. The EIAGRID Portal Main Objectives Creating a grid computing environment for in-field QC and Optimization 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 Objectives Creating 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 Objectives Creating 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
  • 10. Seismic reflection data processing Input Seismic Records
  • 11. Seismic reflection data processing Input System Seismic Records Processing Phases
  • 12. Seismic reflection data processing Input System Seismic Records Processing Phases
  • 13. Seismic reflection data processing Input System Seismic Records Processing Phases
  • 14. Seismic reflection data processing Input System Seismic Records Processing Phases
  • 15. Seismic reflection data processing Input System Output Seismic Records Processing Phases Subsurface Image
  • 16. Seismic reflection data processing Input System Output Seismic 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 Computing Preprocessing 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.
  • 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
  • 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 imaging Published in: Deidda, G. P., Ranieri, G, Uras, G., Cosentino, P., Martorana, R., 2006: Geophysical investigations in the Flumendosa River 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 imaging Published in: Perroud, H., and Tygel, M., 2005, Velocity estimation by the 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 imaging Obtained using the EIAGRID portal Results shear wave data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 49. Time domain imaging Obtained using Seismic Processing Workshop © (Parallel Geoscience Corporation) Results shear wave data Near Surface & Environment & Geotechnical Geophysics: SO-14
  • 50. Conclusions EIAGRID  ...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…