Rekan2 IAGI-NET Ysh.

Minggu lalu saya mendapatkan kesempatan menghadiri Meeting IAMG (International 
Association for Mathematical Geosciences) 2009 di Stanford Univ., USA dan salah 
satu presentasi kunci yang menarik adalah tentang "Towards 5D geological 
modeling" yang dibawakan oleh seorang peneliti muda bernama Guillaume Caumon 
dari School of Geology, Nancy Universite, Prancis. Kebetulan yang bersangkutan 
pada saat itu mendapatkan Vistelius Award dari IAMG dimana penghargaan tsb. 
setiap tahun diberikan pada Meeting IAMG bagi peneliti muda yang memiliki 
kontribusi besar dalam riset terapan matematika/informatika dalam ilmu 
kebumian. 

Berikut ini saya cantumkan abstrak dari presentasi tsb. dimana dimensi ke-4 dan 
ke-5 dalam pemodelan geologi tsb. adalah berupa "time" dan "geological 
uncertainty".

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Towards 5D geological modeling
Presenting author: Guillaume Caumon, School of Geology, CRPG, Nancy Universite

Abstract: The last twenty years have seen tremendous progress in mathematical 
and computer-based methods for three-dimensional geological modeling. In this 
talk, I will outline some of the past milestones in this field, and present 
some challenges to be addressed in the next twenty years or more. 3D geo-models 
are currently used for geoscientific data integration and interpretation, 
computational applications, in order to
answer fundamental or applied questions related to the Earth's crust. In 
particular, 3D geo-modeling has become a major tool in natural resource 
management. Looking forward, I suggest this field should more systematically 
consider two additional dimensions. Obviously, the fourth dimension is time, 
which pertains to geological reasoning. Transforming and constraining models 
through time is currently difficult, especially when topological changes are 
involved, but at some point, forward processbased modeling and 
geometric/geostatistical modeling should converge. The fifth dimension – and 
this may be discussed – carries uncertainty. Geostatistical simulation has 
shown that one ‘best’ model is always limited in describing the reality, and 
may lead to wrong predictions. Considering uncertainty beyond spatial 
correlation in a stationary domain raises a number of theoretical and practical 
challenges that can possibly feed research for many years to
 come.
------------------------------

Salam,
---------------
M. Nur Heriawan
Earth Resources Exploration Research Group
Faculty of Mining and Petroleum Engineering
Institut Teknologi Bandung (ITB)
Jl. Ganesha 10 Bandung 40132 INDONESIA
http://www.mining.itb.ac.id/heriawan




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ayo meriahkan PIT ke-38 IAGI!!!
yg akan dilaksanakan di Hotel Gumaya, Semarang
13-14 Oktober 2009
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