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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
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.
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
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