Andere Kunden interessierten sich auch für
![Dynamic Coupling of Multiphase Fluids with a Moving Obstacle]( "Dynamic Coupling of Multiphase Fluids with a Moving Obstacle")
Dynamic Coupling of Multiphase Fluids with a Moving Obstacle32,99 €![Multiphase Flow in Porous Media]( "Multiphase Flow in Porous Media")
Multiphase Flow in Porous Media83,99 €![Trace Elements in Soil Pore Water]( "Trace Elements in Soil Pore Water")
Trace Elements in Soil Pore Water51,99 €![Sediment Diagenesis, Characteristics of Grains and Pore Geometry]( "Sediment Diagenesis, Characteristics of Grains and Pore Geometry")
Sediment Diagenesis, Characteristics of Grains and Pore Geometry42,99 €![Soil and Pore-Water Relations]( "Soil and Pore-Water Relations")
Soil and Pore-Water Relations51,99 €![Velocity modeling to determine pore aspect ratios of shale]( "Velocity modeling to determine pore aspect ratios of shale")
Velocity modeling to determine pore aspect ratios of shale40,99 €![Pore Pressure Prediction Using Well and Seismic Data In Niger Delta]( "Pore Pressure Prediction Using Well and Seismic Data In Niger Delta")
Pore Pressure Prediction Using Well and Seismic Data In Niger Delta23,99 €
Flow properties for a variety of porous media can
be predicted using pore-scale modelling with
geologically realistic networks. A state of the art
pore-scale network model is developed for this
purpose. It combines topologically disordered
networks that represent real systems with detailed
displacement mechanisms for any sequence of water and
oil flooding, and any wettability. The model is
verified by successfully predicting experimental
relative permeability from a well described water-wet
Berea sandstone. More complex experimental data are
subsequently investigated. By developing a
methodology combining realistic network topology with
network properties tuned to easily obtainable
experimental data such as mercury injection capillary
pressures, the flow properties for several porous
media can successfully be predicted. This is
initially applied to a water-wet sand pack. The aim
of this work is not simply to match experiments, but
to use easily acquired data to predict
difficult-to-measure properties. Furthermore, the
variation of these properties in the field, due to
wettability trends and different pore structures, can
now be predicted reliably.
be predicted using pore-scale modelling with
geologically realistic networks. A state of the art
pore-scale network model is developed for this
purpose. It combines topologically disordered
networks that represent real systems with detailed
displacement mechanisms for any sequence of water and
oil flooding, and any wettability. The model is
verified by successfully predicting experimental
relative permeability from a well described water-wet
Berea sandstone. More complex experimental data are
subsequently investigated. By developing a
methodology combining realistic network topology with
network properties tuned to easily obtainable
experimental data such as mercury injection capillary
pressures, the flow properties for several porous
media can successfully be predicted. This is
initially applied to a water-wet sand pack. The aim
of this work is not simply to match experiments, but
to use easily acquired data to predict
difficult-to-measure properties. Furthermore, the
variation of these properties in the field, due to
wettability trends and different pore structures, can
now be predicted reliably.