Changes

[[file:flow-units-for-reservoir-characterization_fig2.png|thumb|{{figure number|2}}Some examples of lithofacies and flow unit subdivisions of clastic and carbonate reservoirs. (a) Lithofacies and (b) flow unit subdivision of the Shannon Sandstone body in the Hartzog Draw field, Powder River basin, Wyoming. (Modified from <ref name=pt06r51 />.) (c) Lithofacies and (d) reservoir facies (flow unit) subdivision of the Rainbow Lake reef reservoir (“A” Pool), Alberta, Canada. (Modified from <ref name=Langston_and_Chin_1968 />.)]]

[[file:flow-units-for-reservoir-characterization_fig2.png|thumb|{{figure number|2}}Some examples of lithofacies and flow unit subdivisions of clastic and carbonate reservoirs. (a) Lithofacies and (b) flow unit subdivision of the Shannon Sandstone body in the Hartzog Draw field, Powder River basin, Wyoming. (Modified from <ref name=pt06r51 />.) (c) Lithofacies and (d) reservoir facies (flow unit) subdivision of the Rainbow Lake reef reservoir (“A” Pool), Alberta, Canada. (Modified from <ref name=Langston_and_Chin_1968 />.)]]

The distribution of petrophysical properties such as porosity and permeability can be mapped within flow units using well control only or by applying geostatistical procedures to create stochastic realizations of these distributions “conditioned” on the well data (see [[Geological methods]]). Geostatistical techniques that have a strong stochastic component are consistent with, and complementary to, the flow unit concept, which is itself mostly deterministic.

The distribution of petrophysical properties such as porosity and permeability can be mapped within flow units using well control only or by applying geostatistical procedures to create stochastic realizations of these distributions “conditioned” on the well data (see [[Geological methods]]). Geostatistical techniques that have a strong stochastic component are consistent with, and complementary to, the flow unit concept, which is itself mostly deterministic.