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A geologically-sound representation for evolutionary multi-objective subsurface identification

Vijay Singh 1, 2 Marc Schoenauer 1 Michel Léger 2
1 TANC - Algorithmic number theory for cryptology
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : A new representation for evolutionary subsurface identification from surface or well geological data is proposed. It does not require any guess of the underlying fault structure by the expert, but generate geologically balanced layouts. The idea is to represent the subsurface as the combination of, first, a geologically initial set of horizontal layers and, second, fault parameters like shape and displacements. Based on volume and bed-length preservation, a morphogenesis process then gives the structure at present time. A first implementation of this representation is tested on an artificial geological inverse problem in foothills region: the fault locations and dips are considered as two different objectives, and the Epsilon-MOEA multi-objective evolutionary algorithm is applied. The first results show the efficiency of the chosen representation.
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https://hal.inria.fr/inria-00000855
Contributor : Marc Schoenauer <>
Submitted on : Saturday, November 26, 2005 - 10:19:07 AM
Last modification on : Wednesday, March 27, 2019 - 4:41:29 PM
Long-term archiving on: : Friday, April 2, 2010 - 10:45:22 PM

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Vijay Singh, Marc Schoenauer, Michel Léger. A geologically-sound representation for evolutionary multi-objective subsurface identification. IEEE Congress on Evolutionary Computation - CEC'05, D. Corne, Sep 2005, Edinburgh - UK, pp.454-462. ⟨inria-00000855⟩

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