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Technical Program

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Session M Intro

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Session M

Numerical Methods and Applications

Conveners:
  • Lynn Watney, Kansas Geological Survey, USA
  • Eugene Rankey, Iowa State University, USA
  • Ulisses T. Mello, IBM Thomas J. Watson Research Center, USA

The session will encompass papers on prominent numerical methods and applications that are critical to facilitate and sustain the discovery process and next generation modeling efforts in the geosciences. We are realizing vast changes in information acquisition, management, and processing and the future offers major potential to enhance our modeling and predictive capabilities in the earth science.

In terms of understanding geological systems, qualitative observations have driven much of the discovery process in the geosciences, greatly enhanced with new earth observation platforms including satellite, 3-D and 4-D seismic, large scale arrays of sensors, and simply access to increasing amounts of new digital information via the internet. Studies have taken on larger dimensions have become increasingly data-rich. Recognition of new interrelationships of processes is leading toward more a comprehensive understand of earth systems. Future studies will continue to broaden in scope with the growing capabilities of technology.

Likewise, in terms of the quantitative and mathematical aspects of these studies, numerical methods will be continually developed and improved upon to fully integrate and evaluate larger and more complex data sets via mediums ranging from web-based to other electronic means. Concepts will be refined through optimal assimilation and modeling of geoscience information based on broad-based scientific efforts. Data reduction, data mining, intelligent search of data, rapid and efficient imaging and graphic display techniques, and system independent web-based applications will contribute to continuing data assembly and the discovery process. These types of studies are of significance because numerical methods and geoscience modeling efforts that are integrated with growing data matrix will be essential to make increasingly robust predictions needed by timely decision making in government, industry and society.

The session seeks papers that focus on these numerical methods and case studies to demonstrate accomplishments to this end. We are seeking any kind of geo-data involved in numerical analysis including sed/strat, paleo, geophysics, remote sensing, fracture analysis, etc.

Contact info:
Eugene Rankey
Department of Geological and Atmospheric Sciences
253 Science Hall 1
Iowa State University
Ames, Iowa 50011 USA
Phone: +515 294 7254
Fax: +515 294 6049
e-mail: grank@iastate.edu

Lynn Watney
Kansas Geological Survey
1930 Constant Ave.
Lawrence, Kansas 66047, USA
Phone: +785 864 2184
Fax: +785 864 5317
e-mail: lwatney@kgs.ku.edu

Ulisses T. Mello
IBM Thomas J. Watson Research Center
Yorktown Heights
NY 10598 USA
E-mail: ulisses@watson.ibm.com


IAMG 2001 Conference
Conference questions to Gina Ross, Kansas Geological Survey
Web questions to webadmin@kgs.ku.edu
Updated Oct. 2, 2000
URL="http://www.kgs.ku.edu/Conferences/IAMG/Sessions/m.html"