in field optimization of seismic data acquisition by real-time subsurface imaging using a remote...

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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

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Page 1: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

In-field optimization of seismic data acquisitionby 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

Page 2: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Overview

The Grida3 project

The basic concept of EIAGRID

The EIAGRID portal

Data Examples

Conclusions

Page 3: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Grida3, Shared Resources Manager for Environmental Data Analysis and Applications

The Grida3 portal aims at supporting problem solving and decision making by integrating

resources for communication computation data storage

software for simulation inversion visualization

and human know how

into a grid computing platform for Environmental Sciences

The Grida3 portal aims at supporting problem solving and decision making by integrating

resources for communication computation data storage

software for simulation inversion visualization

and human know how

into a grid computing platform for Environmental Sciences

TECHNOLOGIESTECHNOLOGIES

InfrastructureInfrastructure User InterfacesUser InterfacesSecure accessSecure access

APPLICATIONSAPPLICATIONS

GIS ToolsGIS Tools

MeteorologyMeteorology

HydrologyHydrology

Site Remediation

Site Remediation

Geophysical Imaging

Geophysical Imaging

Page 4: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Grida3, Shared Resources Manager for Environmental Data Analysis and Applications

The Grida3 portal aims at supporting problem solving and decision making by integrating

resources for communication computation data storage

software for simulation inversion visualization

and human know how

into a grid computing platform for Environmental Sciences

The Grida3 portal aims at supporting problem solving and decision making by integrating

resources for communication computation data storage

software for simulation inversion visualization

and human know how

into a grid computing platform for Environmental Sciences

TECHNOLOGIESTECHNOLOGIES

InfrastructureInfrastructure User InterfacesUser InterfacesSecure accessSecure access

APPLICATIONSAPPLICATIONS

GIS ToolsGIS Tools

MeteorologyMeteorology

HydrologyHydrology

Site Remediation

Site Remediation

Geophysical Imaging

Geophysical ImagingEIAGRID

ServiceEIAGRID

Service

Page 5: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Creating a grid computing environment for in-field QC and Optimization of SR/GPR data acquisition by:

The EIAGRID PortalMain Objectives

Page 6: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

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 PortalMain Objectives

Page 7: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

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 PortalMain Objectives

Page 8: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

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 PortalMain Objectives

Page 9: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data acquisition

Page 10: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input

Page 11: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input

Processing Phases

System

Page 12: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input System

Processing Phases

Page 13: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input System

Processing Phases

Page 14: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input System

Processing Phases

Page 15: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input System Output

Processing Phases Subsurface Image

Page 16: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Seismic reflection data processing

Seismic Records

Input System Output

Processing Phases Subsurface Image

Page 17: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Main Problem of SR/GPR acquisition: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

Page 18: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Remote Grid Computing

Preprocessing and Visualization using SU:

Basic preprocessing steps can be applied without installing the complex SU processing package.

Data-driven CRS imaging technology---state-of-the-art in oil exploration---enables highly automated data processing.

Imaging and RSC using CRS technology:

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.

Page 19: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

The EIAGRID PortalThe EIAGRID Portal

Page 20: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

The EIAGRID PortalThe EIAGRID Portal

Page 21: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Near Surface & Environment & Geotechnical Geophysics: SO-14

Data-set uploading and format conversionData-set uploading and format conversion

Page 22: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Data-set uploading and format conversionData-set uploading and format conversion

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 23: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Data-set uploading and format conversionData-set uploading and format conversion

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 24: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Data-set uploading and format conversionData-set uploading and format conversion

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 25: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Data-set uploading and format conversionData-set uploading and format conversion

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 26: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Creating a project using the uploaded dataCreating a project using the uploaded data

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 27: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Creating a project using the uploaded dataCreating a project using the uploaded data

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 28: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Preprocessing the uploaded dataPreprocessing the uploaded data

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 29: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Preprocessing the uploaded dataPreprocessing the uploaded data

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 30: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Preprocessing the uploaded dataPreprocessing the uploaded data

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 31: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Displaying the jobs Displaying the jobs

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 32: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Data visualization toolsData visualization tools

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 33: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Near Surface & Environment & Geotechnical Geophysics: SO-14

CRS data processingCRS data processing

Page 34: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Near Surface & Environment & Geotechnical Geophysics: SO-14

CRS data processingCRS data processing

Page 35: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

CRS data processingCRS data processing

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 36: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

CRS data processingCRS data processing

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 37: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

CRS data processingCRS data processing

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 38: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

CRS data processingCRS data processing

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 39: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

CRS data processingCRS data processing

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 40: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Workflows running in parallel

Page 41: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Available actions from local spooler. The user can save, download, and eliminate files from iRods space

iRods Implementation for data-grid managementiRods Implementation for data-grid management

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 42: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

iRods Implementation for data-grid managementiRods Implementation for data-grid management

Near Surface & Environment & Geotechnical Geophysics: SO-14

Data and collections management protocol implemented in the remote spooler

Page 43: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Results SR data

Time domain imagingTime domain imaging

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 44: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Results SR data

Time domain imagingTime domain imaging

Near Surface & Environment & Geotechnical Geophysics: SO-14

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.

Page 45: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Results GPR data

Time domain imagingTime domain imaging

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 46: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Time domain imagingTime domain imaging

Near Surface & Environment & Geotechnical Geophysics: SO-14

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

Page 47: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

New field study using SH-waves (DIT)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

Page 48: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Results shear wave data

Time domain imagingTime domain imaging

Obtained using the EIAGRID portal

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 49: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Results shear wave data

Time domain imagingTime domain imaging

Obtained using Seismic Processing Workshop © (Parallel Geoscience Corporation)

Near Surface & Environment & Geotechnical Geophysics: SO-14

Page 50: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

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.

Enables a wider use of SR/GPR surveys in environmental and earth sciences through Grid technologies

… facilitates the creation of an integrated geophysical database for environmental studies.

Page 51: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Thank you for your attention…

Page 52: In field optimization of seismic data acquisition by real-time subsurface imaging using a remote grid computing environment

Acknowledgments