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Elements of wellbore heterogeneities include the pore network ([[Pore system fundamentals|pores and pore throats]]), [[Porosity#Influence of textural parameters on porosity|grain size and composition, grain packing]], lamination and [[bedding style]]s, [[sedimentary structure]]s, lithofacies, and [[vertical stratification sequence]]s. These properties can be readily described in a numerical or quantitative fashion because of the usual availability of rock samples and well logs. Rock [[Conventional coring|core]]s provide the best information on lithofacies and stratification sequences, plug or whole core [[porosity]], [[Permeability|permeability]], and [[Water saturation|fluid saturation]] (if [[oil-based drilling mud]] was used during coring). The use of [[Quick-look lithology from logs#Log shapes|log shapes]] for facies recognition, as well as [[Sidewall coring|sidewall samples]], [[Basic open hole tools#Microresistivity|micrologs]], and [[Dipmeter analysis|dipmeter]] tools can also provide indirect information on lithofacies and stratification types. (For more on lithofacies, see [[Lithofacies and environmental analysis of clastic depositional systems#Clastic depositional lithofacies and environments|Clastic lithofacies]] and [[Carbonate reservoir models: facies, diagenesis, and flow characterization#Carbonate sediments and environments|Carbonate lithofacies]]). [[Pore network]]s, [[grain size]] characteristics, and [[mineralogy]] can be analyzed by routine [[Thin section analysis|thin section petrography]] as well as by [[SEM, XRD, CL, and XF methods#X-ray diffraction (XRD)|X-ray diffraction]], [[Scanning electron microscopy (SEM)|scanning electron microscopy]], [[capillary pressure]] measurements, and [[petrographic image analysis]] (see [[Reservoir quality]]). Analysis of all or most of these properties is essential for adequate reservoir description because these properties provide the database and thus the foundation for reservoir description at larger scales.  

Elements of wellbore heterogeneities include the pore network ([[Pore system fundamentals|pores and pore throats]]), [[Porosity#Influence of textural parameters on porosity|grain size and composition, grain packing]], lamination and [[bedding style]]s, [[sedimentary structure]]s, lithofacies, and [[vertical stratification sequence]]s. These properties can be readily described in a numerical or quantitative fashion because of the usual availability of rock samples and well logs. Rock [[Conventional coring|core]]s provide the best information on lithofacies and stratification sequences, plug or whole core [[porosity]], [[Permeability|permeability]], and [[Water saturation|fluid saturation]] (if [[oil-based drilling mud]] was used during coring). The use of [[Quick-look lithology from logs#Log shapes|log shapes]] for facies recognition, as well as [[Sidewall coring|sidewall samples]], [[Basic open hole tools#Microresistivity|micrologs]], and [[Dipmeter analysis|dipmeter]] tools can also provide indirect information on lithofacies and stratification types. (For more on lithofacies, see [[Lithofacies and environmental analysis of clastic depositional systems#Clastic depositional lithofacies and environments|Clastic lithofacies]] and [[Carbonate reservoir models: facies, diagenesis, and flow characterization#Carbonate sediments and environments|Carbonate lithofacies]]). [[Pore network]]s, [[grain size]] characteristics, and [[mineralogy]] can be analyzed by routine [[Thin section analysis|thin section petrography]] as well as by [[SEM, XRD, CL, and XF methods#X-ray diffraction (XRD)|X-ray diffraction]], [[Scanning electron microscopy (SEM)|scanning electron microscopy]], [[capillary pressure]] measurements, and [[petrographic image analysis]] (see [[Reservoir quality]]). Analysis of all or most of these properties is essential for adequate reservoir description because these properties provide the database and thus the foundation for reservoir description at larger scales.  

In [[clastic]] rocks, there is usually a direct relationship between primary depositional lithofacies and reservoir properties and performance. For example, [[sandstone]]s that become progressively thinner bedded and finer grained stratigraphically upward also become progressively less permeable upward ([[:file:geological-heterogeneities_fig1.png|Figure 2]]) so that during [[Waterflooding|waterflood]], both gravity and higher permeability toward the bottom will pull water down. In contrast, sandstones that become progressively thicker bedded and coarser grained upward also become more permeable upward ([[:file:geological-heterogeneities_fig2.png|Figure 2]]) so that during waterflood, gravity still pulls the water down, but permeability pulls the water up, resulting in better vertical [[sweep]].<ref name=pt06r75>Lassiter, T. K., Waggoner, J. R., Lake, L. W., 1986, Reservoir heterogeneities and their influence on ultimate recovery, in Lake, L. W., Carroll, N. B., Jr., eds., Reservoir Characterization: Orlando, FL, Academy Press, p. 545–560.</ref><ref name=pt06r144>van de Graaff, W. J. E., Ealey, P. S. 1989, [http://archives.datapages.com/data/bulletns/1988-89/data/pg/0073/0011/1400/1436.htm Geological modeling for simulation studies]: AAPG Bulletin, v. 73, p. 1436–1444.</ref>

In [[clastic]] rocks, there is usually a direct relationship between primary depositional lithofacies and reservoir properties and performance. For example, [[sandstone]]s that become progressively thinner bedded and finer grained stratigraphically upward also become progressively less permeable upward ([[:file:geological-heterogeneities_fig1.png|Figure 2]]) so that during [[Waterflooding|waterflood]], both gravity and higher permeability toward the bottom will pull water down. In contrast, sandstones that become progressively thicker bedded and coarser grained upward also become more permeable upward ([[:file:geological-heterogeneities_fig2.png|Figure 2]]) so that during waterflood, gravity still pulls the water down, but permeability pulls the water up, resulting in better vertical [[sweep]].<ref name=pt06r75>Lassiter, T. K., J. R. Waggoner, and L. W. Lake, L. W., 1986, Reservoir heterogeneities and their influence on ultimate recovery, in L. W. Lake, and N. B. Carroll, Jr., eds., Reservoir Characterization: Orlando, FL, Academy Press, p. 545–560.</ref><ref name=pt06r144>van de Graaff, W. J. E., and P. S. Ealey, 1989, [http://archives.datapages.com/data/bulletns/1988-89/data/pg/0073/0011/1400/1436.htm Geological modeling for simulation studies]: AAPG Bulletin, v. 73, p. 1436–1444.</ref>

==Interwell scale heterogeneities==

==Interwell scale heterogeneities==