Object-based simulation methods are some of the most widely used approaches for modeling geological reservoirs and quantifying geological uncertainty. However, one major drawback of the object-based approach is its lack of flexibility. The objects are often defined with basic analytical shapes, and as such they may not reflect the complexity of the actual geobodies present in the subsurface. This results in models that lack realism, as well as difficulties in conditioning especially in the presence of dense datasets. To tackle these issues, we propose to stochastically generate objects using an analog-based approach. Instead of defining objects by a limited number of parameters, objects are produced by using a multiple-point geostatistics (MPS) algorithm, which is a non-parametric process. Each new object is then drawn from an ensemble of possible members, all presenting similar statistical properties than a given reference object, namely a training image.

Hybrid geostatistics: object-based simulations using MPS-generated meandering channels / P. Renard, G. Mariethoz, A. Comunian, J.A. Straubhaar - In: Uncertainty Management: Are we Doing it Right? : conference[s.l] : EAGE, 2014 Nov. - pp. 1-3 (( Intervento presentato al 2. convegno EAGE tenutosi a Dubai nel 2014 [10.3997/2214-4609.20147474].

Hybrid geostatistics: object-based simulations using MPS-generated meandering channels

A. Comunian;
2014

Abstract

Object-based simulation methods are some of the most widely used approaches for modeling geological reservoirs and quantifying geological uncertainty. However, one major drawback of the object-based approach is its lack of flexibility. The objects are often defined with basic analytical shapes, and as such they may not reflect the complexity of the actual geobodies present in the subsurface. This results in models that lack realism, as well as difficulties in conditioning especially in the presence of dense datasets. To tackle these issues, we propose to stochastically generate objects using an analog-based approach. Instead of defining objects by a limited number of parameters, objects are produced by using a multiple-point geostatistics (MPS) algorithm, which is a non-parametric process. Each new object is then drawn from an ensemble of possible members, all presenting similar statistical properties than a given reference object, namely a training image.
Settore GEO/12 - Oceanografia e Fisica dell'Atmosfera
nov-2014
http://www.earthdoc.org/publication/publicationdetails/?publication=78708
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/387395
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