Data di Pubblicazione:
2013
Citazione:
3D Multiple-Point Statistics for facies simulation using 2D and 1D conceptual models / J. Straubhaar, P. Renard, A. Comunian. ((Intervento presentato al 15. convegno Annual Conference of the International Association for Mathematical Geosciences tenutosi a Madrid nel 2013.
Abstract:
Modeling geological reservoirs is a crucial step for understanding underground systems. Several
activities such as oil and gas exploration, CO 2 sequestration, or geothermal energy production, need a
realistic 3D characterization of reservoirs with uncertainty assessment. Multiple-Point Statistics (MPS)
simulation is widely used for that task, because it allows for integrating complex conceptual models,
honoring field data and taking into account for non stationarities in a stochastic framework.
MPS methods require a training image (TI) from which the spatial arrangements are borrowed for the
simulations. Therefore, 3D TIs are needed for 3D simulations in classical implementations. However,
in practice, we often have access only to 2D or 1D informations from outcrops or boreholes in analog
sites.
Here, we propose a MPS technique allowing to generate 3D simulations based on 2D orthogonal TIs or
on 2D and 1D orthogonal TIs. The algorithm consists in successively simulating sections and/or lines
according to the orientation of the input 2D/1D TIs, until the 3D block is filled. Each section/line is
simulated by using the TI(s) for the same orientation and by also taking into account for the spatial
statistics in the transversal 2D or 1D section(s) provided by the corresponding TI(s). Therefore, the
proposed method exploits as much as possible the input models. It is based on IMPALA, a parallel
MPS algorithm for facies simulations, and, in addition to overcome the lack of 3D TIs in practical
applications, the method is much faster than a classical 3D simulation based on a full 3D TI.
Tipologia IRIS:
14 - Intervento a convegno non pubblicato
Elenco autori:
J. Straubhaar, P. Renard, A. Comunian
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