International audienceSUMMARY Classical approaches to geostatistical simulations are not applicable directly on irregular reservoir models (such as Voronoi polygon and tetrahedron meshed models). One of the main difficulties is that the block marginal distributions are unique for every block due to volume support effect. We propose a methodology for geostatistical simulations which overcomes this difficulty in an analytical manner and provides a robust utilization of the small support petrophysical property distribution and the covariance model for irregular reservoir models. The proposed solution is based on the discrete Gaussian (DGM) model and operates directly on blocks of the target grid. This solution is also capable to improve the qu...
textAs oil and gas supply decrease, it becomes more important to quantify the uncertainty associated...
The geostatistical approach for modeling heterogeneous reservoirs allows, on one hand, to integrate ...
The geostatistical approach for modeling heterogeneous reservoirs allows, on one hand, to integrate ...
Classical approaches to geostatistical simulations are not applicable directly on irregular reservoi...
Simulations of physical phenomenon often require discretizing the medium with a mesh. An example of ...
Simulations of physical phenomenon often require discretizing the medium with a mesh. An example of ...
Simulations of physical phenomenon often require discretizing the medium with a mesh. An example of ...
International audienceIn many domains, numerical models are initialized with inputs defined on irreg...
International audienceIn order to achieve an accurate reservoir characterization, geometrical comple...
Texte intégral accessible uniquement aux membres de l'Université de LorraineAn oil reservoir is a co...
Abstract: We present a surface-based approach to reservoir model construction in which all geologica...
© 2018, International Association for Mathematical Geosciences.Delineation of facies in the subsurfa...
Current static reservoir models are created by quantitative integration of interpreted well and seis...
International audienceReservoir models are essential if we need to clearly understand the fossil res...
textAs oil and gas supply decrease, it becomes more important to quantify the uncertainty associated...
textAs oil and gas supply decrease, it becomes more important to quantify the uncertainty associated...
The geostatistical approach for modeling heterogeneous reservoirs allows, on one hand, to integrate ...
The geostatistical approach for modeling heterogeneous reservoirs allows, on one hand, to integrate ...
Classical approaches to geostatistical simulations are not applicable directly on irregular reservoi...
Simulations of physical phenomenon often require discretizing the medium with a mesh. An example of ...
Simulations of physical phenomenon often require discretizing the medium with a mesh. An example of ...
Simulations of physical phenomenon often require discretizing the medium with a mesh. An example of ...
International audienceIn many domains, numerical models are initialized with inputs defined on irreg...
International audienceIn order to achieve an accurate reservoir characterization, geometrical comple...
Texte intégral accessible uniquement aux membres de l'Université de LorraineAn oil reservoir is a co...
Abstract: We present a surface-based approach to reservoir model construction in which all geologica...
© 2018, International Association for Mathematical Geosciences.Delineation of facies in the subsurfa...
Current static reservoir models are created by quantitative integration of interpreted well and seis...
International audienceReservoir models are essential if we need to clearly understand the fossil res...
textAs oil and gas supply decrease, it becomes more important to quantify the uncertainty associated...
textAs oil and gas supply decrease, it becomes more important to quantify the uncertainty associated...
The geostatistical approach for modeling heterogeneous reservoirs allows, on one hand, to integrate ...
The geostatistical approach for modeling heterogeneous reservoirs allows, on one hand, to integrate ...