− | 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]]], [[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 [[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 networks]], [[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 [[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 networks]], [[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, sandstones 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, sandstones 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> |