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Name: ALGES: Geostatistics and Python
--client enthought --show scipy_2012 --room Ballroom_CDE 1189 --force
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Author(s):	Felipe Lema
Location	Ballroom (CDE)
Date	jul Wed 18	Days Raw Files
Start	17:00	First Raw Start	16:56
Duration	20:00	Offset	0:03:56
End	17:20	Last Raw End	17:22
Chapters	00:00
Total cuts_time	18 min.

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Description:	ALGES is a laboratory that develops tools applied to geostatistics. We've been using python for a while and it has brought us very good results. Its ease-of-use and portability allow us to rapidly offer practical solutions to problems. Along with a brief introduction to the laboratory, we cover two particular projects we are currently working on. One project is an application for multivariate geostatistic analysis. Most available applications provide analysis for a single variable at a time and either obviate how variables can relate between one another or make it really difficult to consider any relationship. Our proposal provides both an interface that's both easy to use for primers and fine tuning for experienced users. The other presented project covers a problem in geological modeling and resource estimation. Commonly, when modeling geological volumes, continuity in data is assumed. This is not often true, as there are different kinds of faults that break this continuity. This is very hard to incorporate when modeling. We propose a solution to restore the original continuous volume for better modeling as well as restitution to the real distorted volume, all this providing a better estimation. Both projects have lots of heavy computations and no shortage of input data. We take this as a challenge to build fast processing solutions, so we take advantage of both the easiness of a python interface and the speed of C/C++ code. markdown
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