Il seminario presenta un approccio innovativo al trattamento dei dati sismici mediante la combinazione di software di processing open source allo stato dell'arte con tecnologie informatiche di grid computing, rendendo possibile ed efficiente l'utilizzo di risorse distribuite e amministrate in remoto per il calcolo e la gestione dei dati. Inoltre illustra i risultati ottenuti per tre diversi tipi di dati (onde di compressione, onde di taglio e multi-offset Ground-Penetrating Radar), tratti da studi idrogeofisici condotti in Sardegna e a Larreule (Francia).

1. Environmental and Imaging
Sciences
WEB Services: from Research to Industrial
Applications
Ernesto Bonomi
Energy and Environment
CRS4
ernesto@crs4.it

2. Motivation for Doing
Environment is going to be a major issue.
Since 50 years, environmental problems are aggravated by
• overpopulation,
• increases in agricultural productivity,
• fast industrial development.
Problems include
• starvation and malnutrition,
• demand for resources such as fresh water and food,
• consumption of natural resources faster than the rate of
regeneration (such as fossil fuels),
• rising levels of atmospheric carbon dioxide,
• global warming, and pollution.
Strain on the environment causes a decrease in living conditions.
Environmental engineering must grow rapidly from basic
research and deal with the activities of monitoring and
managing natural resources on an industrial scale.

3. Objective
Promoting an interdisciplinary view of energy and
environmental problems, in which the mechanisms,
be they physical, chemical, biological, or economic,
are no longer analyzed and modeled as independent, but
are investigated together with the support of
• robust theoretical frameworks
• accurate numerical tools
• reliable reference data
• large computing infrastructures
• motivated funding partners
Organizing the efficient use our collective intelligence to
study solution strategies and design innovative applications

4. From Modeling to Innovative Services
Problem formalization Application planning Programming and optimization
HPC application as a Cloud service

5. Critical Issues
• The development of software tools for collaborative activities
allowing a transparent access to
• network resources
• data acquisition systems
• storage and computing platforms
• application software
within a unique infrastructure
An integrated vision that requires high level skills for:
• The fundamental understanding of physical, chemical and biological
processes operating at different scales
• Programming and implementing on HPC clusters with architectures
in continuous evolution (multicore CPUs, GPUs and FPGAs)
• Conceptualizing the data analysis process and development of tools
for problem solving and decision support

6. Real Collaborations and Virtual
Organizations
monitoring,
Working Group 2: monitoring,
and sustainable water resource Working Group 1: short
management term prediction of extreme
A Cloud/Grid is an events
infrastructure that allows
the integrated and
collaborative use of
virtualized resources
Data servers
Computational servers Working Group 3: information systems
Connecting networks for the analysis of environmental and
territorial data
Numerical applications
Information systems
owned and managed by
one or more entities
On the infrastructure, each virtual organization
acts as a services provider while each partner,
researcher or engineer, becomes the recipient

7. Project Planning and Management: the Developers
Site 1 Site 2
Application Environmental
developer
engineer
Compute infrastructure
via the Cloud portal
Data infrastructure
via the Cloud portal
Numerical applications
input&output)
GIS (input&output)
Services for the decision support
Pre-
Pre-processing WEB Collaborative Environment
Simulation Engine and Optimizer Data assimilation and Analysis Tools
Post-
Post-processing Problem Solving driven by physical models
Visualization Web GIS (solver output, field data, maps…)

8. Project Planning and Management: the End Users
Site 3
Environmental
Collaborative problem-solving manager
platform as a decision support
system
Interactive simulation tools based on
physics
Web GIS environment for data
Storage
Retrieval
Rendering Compute infrastructure
Analysis and decision instruments for via the Cloud portal
Management
Meteorology
Forest Fire Data infrastructure
Planning via the Cloud portal
Costs evaluation Hydrology
Editing of results and dissemination
Site
Remediation
Geophysical
Earth Science Ocean
Imaging
Dynamics

9. Subsurface Imaging Services
for Environmental Geophysics
Zeno Heilmann, Guido Satta, Andrea Piras
CRS4, Department of Energy and Environment
Paolo Maggi
NICE s.r.l., Department of Research and Development
Gianpiero Deidda
University of Cagliari, Department of Civil and Environmental
Engineering and Architecture

10. Environmental Geophysical Imaging: a Cloud
Solution
Creating a Cloud infrastructure for environmental geophysics
• In-field Quality Control
• Optimization of SR/GPR data acquisition/processing
• Providing a browser-based user interface
easily accessible from the acquisition field
• On-the-fly processing of seismic data on
the remote infrastructure
• Running data-driven and highly parallel
imaging and velocity analysis numerical
tools
• Enabling remote collaboration and
monitoring of data acquisition

11. Environmental Geophysical: Data Acquisition

12. Environmental Geophysical: Data Processing
Input System
Seismic Records Processing Phases

13. Environmental Geophysical: Quality
Control
On-site-acquisition quality control is difficult when strongly
variable near-surface conditions are encountered
• Success depends on acquisition parameters such as
• recording time
• sampling interval
• source strength
• maximum offset
• receivers spacing
It is impossible to optimize in the field the acquisition
Cloud services
from on-site tablets and PCs using
Wireless data transmission + remote HPC processing

14. Acquisition Quality Control
Preprocessing and visualization using SU
• Basic preprocessing steps can be applied fast and
conveniently without locally installed processing package.
Time imaging using CRS technology
• Data-driven CRS imaging technology ---state-of-the-art in oil
exploration--- enables highly automated data processing.
• Velocity model building based on CRS results and time
migration provide complementary subsurface information.
Workflow editor:
• Fast construction and processing of different workflows to
find optimum processing parameters.

15. The Cloud Portal

16. The Cloud Portal: Dataset Uploading and Data
Conversion

17. The Cloud Portal: Creating a Project Using Uploaded Data

18. The Cloud Portal: Preprocessing the Uploaded
Data

19. The Cloud Portal: Data Visualization tool

20. The Cloud Portal: CRS Imaging Tools

21. The Cloud Portal: CRS Imaging Running
Jobs

22. The Cloud Portal: CRS Seismic Time
Imaging
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.

23. The Cloud Portal: Velocity Model Builder

24. The Cloud Portal: Time Migration

25. The Cloud Portal: GPR Data Time Imaging
CRS Stacking
Perroud, H., and Tygel, M., 2005, Velocity estimation by the common-reflection-surface
(CRS) method: Using ground-penetrating radar: Geophysics, 70, 1343–1352.

26. Time Imaging without Velocity Model: a Data-Driven Solution
• The best set of parameters
ξ=(R, α0) provides reliable
traveltimes
• In the image space, the
content of each pixel results
from the signal averaged
along a traveltime trajectory
(green)
Layers,imaging Sigsbee2A
Time faults and diffractors Semblance

27. (Potential) Services for Forest
Fires Behavior Prediction
Antioco Vargiu, Luca Massidda, Gianni Pagnini e Marino Marrocu
CRS4, Department of Energy and Environment

28. Environmental Sciences
A Web fire: simulation chainaLarge solver (2Km)
Forest the integrationchain: Medium scale (10Km)
Run of portal to the Ensemble Meteorological Forecast
with Small scale (20Km)
CFD
GIS providing orography,
boundary conditions and fuel
distribution on the ground
Selection of a date and an initial time
A collection of services
Forest Fire service Selection of a site

29. Environmental Sciences & Process Engineering and Combustion
Forest fire simulation: Budoni, 24 August 2004

30. Conclusion
Environmental issues make necessary a strong integration of expertise
from different disciplines, made possible through the development of virtual
organizations of federated entities
Today SW technology makes almost transparent the operability of a Cloud
infrastructure (network, compute and data resources) for the data sharing
and the exploitation of complex applications via Internet
Web services and Cloud portal technology makes man-Cloud interaction as
much as possible close to man-desktop interaction