Changes

[[file:waterflooding_fig3.png|thumb|left|{{figure number|3}}Vertical sweep efficiency (coverage) as a function of WOR, ''M'', and permeability variation (''V''_DP), where WOR = 5. (From <ref name=pt10r11 />.)]]

[[file:waterflooding_fig3.png|thumb|left|{{figure number|3}}Vertical sweep efficiency (coverage) as a function of WOR, ''M'', and permeability variation (''V''_DP), where WOR = 5. (From <ref name=pt10r11 />.)]]

[[file:waterflooding_fig4.png|thumb|{{figure number|4}}Vertical sweep efficiency (coverage) as a function of WOR, ''M'', and permeability variation (''V''_DP), where WOR = 0.1. (From <ref name=pt10r11 />)]]

[[file:waterflooding_fig4.png|thumb|{{figure number|4}}Vertical sweep efficiency (coverage) as a function of WOR, ''M'', and permeability variation (''V''_DP), where WOR = 0.1. (From <ref name=pt10r11 />.)]]

[[file:waterflooding_fig5.png|thumb|left|{{figure number|5}}Effect of mobility ratio on oil production for the five-spot pattern.<ref name=pt10r8 />]]

[[file:waterflooding_fig5.png|thumb|left|{{figure number|5}}Effect of mobility ratio on oil production for the five-spot pattern.<ref name=pt10r8 />]]

==Mathematical modeling of waterfloods==

==Mathematical modeling of waterfloods==

The foregoing analysis is one of many simplified approaches that can be taken as a first approximation for the prediction of waterflood recovery, as fully explained by Craig<ref name=pt10r8 /> and Bradley<ref name=pt10r3>Bradley, H. B., ed., 1987, Petroleum Engineering Handbook: Richardson, TX, Society of Petroleum Engineers.</ref>. For a more accurate recovery prediction, mathematical modeling of the reservoir is essential. However, the most important aspect of reservoir modeling is the construction of the model, which requires detailed knowledge of the reservoir characteristics. (For information on geostatistical methods used to determine the most probable realization of the reservoir structure, see the statistics chapters in Part 6.) Once the most probable reservoir realization is determined, the history matching of primary production can be used to refine the model before it is used to predict the waterflood behavior. For this purpose, any of the many commercially available softwares can be used.

The foregoing analysis is one of many simplified approaches that can be taken as a first approximation for the prediction of waterflood recovery, as fully explained by Craig<ref name=pt10r8 /> and Bradley.<ref name=pt10r3>Bradley, H. B., ed., 1987, Petroleum Engineering Handbook: Richardson, TX, Society of Petroleum Engineers.</ref> For a more accurate recovery prediction, mathematical modeling of the reservoir is essential. However, the most important aspect of reservoir modeling is the construction of the model, which requires detailed knowledge of the reservoir characteristics. Once the most probable reservoir realization is determined, the history matching of primary production can be used to refine the model before it is used to predict the waterflood behavior. For this purpose, any of the many commercially available softwares can be used.

==See also==

==See also==