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Analyzing air [[permeability]] (K<sub>a</sub> and [[porosity]] (Φ) data separately to characterize rock quality can be deceiving. Analyzing K<sub>a</sub> and Φ data using the K<sub>a</sub>/Φ ratio or the r<sub>35</sub> method<ref name=ch09r46>Pittman, E., D., 1992, [http://archives.datapages.com/data/bulletns/1992-93/data/pg/0076/0002/0000/0191.htm Relationship of porosity to permeability to various parameters derived from mercury injection–capillary pressure curves for sandstone]: AAPG Bulletin, vol. 76, no. 2, p. 191–198.</ref> is much more effective for determining quality. The K<sub>a</sub>/Φ ratio or the r<sub>35</sub> method yields information about the fluid flow and storage quality of a rock.
 
Analyzing air [[permeability]] (K<sub>a</sub> and [[porosity]] (Φ) data separately to characterize rock quality can be deceiving. Analyzing K<sub>a</sub> and Φ data using the K<sub>a</sub>/Φ ratio or the r<sub>35</sub> method<ref name=ch09r46>Pittman, E., D., 1992, [http://archives.datapages.com/data/bulletns/1992-93/data/pg/0076/0002/0000/0191.htm Relationship of porosity to permeability to various parameters derived from mercury injection–capillary pressure curves for sandstone]: AAPG Bulletin, vol. 76, no. 2, p. 191–198.</ref> is much more effective for determining quality. The K<sub>a</sub>/Φ ratio or the r<sub>35</sub> method yields information about the fluid flow and storage quality of a rock.
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[[file:predicting-reservoir-system-quality-and-performance_fig9-16.png|thumb|{{figure number|1}}See text for explanation.]]
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==Which is better rock?==
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[[file:predicting-reservoir-system-quality-and-performance_fig9-16.png|thumb|{{figure number|1}}SEM microphotographs.]]
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==Which is better rock?==
   
Using K<sub>a</sub> and Φ data separately to characterize reservoir rock quality is misleading. Consider the rocks shown in the SEM microphotographs in [[:file:predicting-reservoir-system-quality-and-performance_fig9-16.png|Figure 1]]. Flow unit 1 is a mesoporous, sucrosic dolomite. Its average Φ is 30% and average K<sub>a</sub> is 10 md. Flow unit 2 is a macroporous, oolitic limestone. Its average Φ is 10% and average K<sub>a</sub> is 10 md.
 
Using K<sub>a</sub> and Φ data separately to characterize reservoir rock quality is misleading. Consider the rocks shown in the SEM microphotographs in [[:file:predicting-reservoir-system-quality-and-performance_fig9-16.png|Figure 1]]. Flow unit 1 is a mesoporous, sucrosic dolomite. Its average Φ is 30% and average K<sub>a</sub> is 10 md. Flow unit 2 is a macroporous, oolitic limestone. Its average Φ is 10% and average K<sub>a</sub> is 10 md.
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In [[:file:predicting-reservoir-system-quality-and-performance_fig9-16.png|Figure 1]], flow unit 1 has a K<sub>a</sub>/Φ value of 33 and flow unit 2 has a K<sub>a</sub>/Φ value of 100. Even though Φ is greater and K<sub>a</sub> is the same for flow unit 1, the lower K<sub>a</sub>/Φ value indicates its quality is lower than flow unit 2.
 
In [[:file:predicting-reservoir-system-quality-and-performance_fig9-16.png|Figure 1]], flow unit 1 has a K<sub>a</sub>/Φ value of 33 and flow unit 2 has a K<sub>a</sub>/Φ value of 100. Even though Φ is greater and K<sub>a</sub> is the same for flow unit 1, the lower K<sub>a</sub>/Φ value indicates its quality is lower than flow unit 2.
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==K<sub>a</sub>/Φ plot==
    
[[file:predicting-reservoir-system-quality-and-performance_fig9-17.png|thumb|{{figure number|2}}See text for explanation.]]
 
[[file:predicting-reservoir-system-quality-and-performance_fig9-17.png|thumb|{{figure number|2}}See text for explanation.]]
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==K<sub>a</sub>/Φ plot==
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On the plot in [[:file:predicting-reservoir-system-quality-and-performance_fig9-17.png|Figure 2]], the contours represent a constant K<sub>a</sub>/Φ ratio and divide the plot into areas of similar pore types. Data points that plot along a constant ratio have similar flow quality across a large range of porosity and/or permeability. The clusters of points on the plot  in [[:file:predicting-reservoir-system-quality-and-performance_fig9-17.png|Figure 2]] represent hypothetical K<sub>a</sub>/Φ values for flow units 1 and 2 presented in [[:file:predicting-reservoir-system-quality-and-performance_fig9-16.png|Figure 1]]. The position of the clusters relative to the K<sub>a</sub>/Φ contours indicates flow unit 2 has higher quality in terms of K<sub>a</sub>/Φ ratio than flow unit 1.
On the plot in [[:file:predicting-reservoir-system-quality-and-performance_fig9-17.png|Figure 2]], the contours represent a constant K<sub>a</sub>/Φ ratio and divide the plot into areas of similar pore types. Data points that plot along a constant ratio have similar flow quality across a large range of porosity and/or permeability. The clusters of points on the plot  in [[:file:predicting-reservoir-system-quality-and-performance_fig9-17.png|Figure 2]] represent hypothetical K<sub>a</sub>/Φ values for flow units 1 and 2 presented i in [[:file:predicting-reservoir-system-quality-and-performance_fig9-16.png|Figure 1]]. The position of the clusters relative to the K<sub>a</sub>/Φ contours indicates flow unit 2 has higher quality in terms of K<sub>a</sub>/Φ ratio than flow unit 1.
      
==What is r<sub>35</sub>?==
 
==What is r<sub>35</sub>?==
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H.D. Winland of Amoco used mercury injection-capillary pressure curves to develop an empirical relationship among Φ, K<sub>a</sub>, and pore throat radius (r). He tested 312 different water-wet samples. The data set included 82 samples (56 sandstone and 26 carbonate) with low permeability corrected for gas slippage and 240 other uncorrected samples. Winland found that the effective pore system that dominates flow through a rock corresponds to a mercury saturation of 35%. That pore system has pore throat radii (called port size, or r<sub>35</sub>) equal to or smaller than the pore throats entered when a rock is saturated 35% with a nonwetting phase. After 35% of the pore system fills with a non-wetting phase fluid, the remaining pore system does not contribute to flow. Instead, it contributes to storage.
 
H.D. Winland of Amoco used mercury injection-capillary pressure curves to develop an empirical relationship among Φ, K<sub>a</sub>, and pore throat radius (r). He tested 312 different water-wet samples. The data set included 82 samples (56 sandstone and 26 carbonate) with low permeability corrected for gas slippage and 240 other uncorrected samples. Winland found that the effective pore system that dominates flow through a rock corresponds to a mercury saturation of 35%. That pore system has pore throat radii (called port size, or r<sub>35</sub>) equal to or smaller than the pore throats entered when a rock is saturated 35% with a nonwetting phase. After 35% of the pore system fills with a non-wetting phase fluid, the remaining pore system does not contribute to flow. Instead, it contributes to storage.
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Pittman<ref name=ch09r46 />) speculates, “Perhaps Winland found the best correlation to be r<sub>35</sub> because that is where the average modal pore aperture occurs and where the pore network is developed to the point of serving as an effective pore system that dominates flow.” The capillary pressure curve and pore throat size histogram in [[:file:predicting-reservoir-system-quality-and-performance_fig9-18.png|Figure 3]] illustrate Pittman's point.
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Pittman<ref name=ch09r46 /> speculates, “Perhaps Winland found the best correlation to be r<sub>35</sub> because that is where the average modal pore aperture occurs and where the pore network is developed to the point of serving as an effective pore system that dominates flow.” The capillary pressure curve and pore throat size histogram in [[:file:predicting-reservoir-system-quality-and-performance_fig9-18.png|Figure 3]] illustrate Pittman's point.
    
==The winland r<sub>35</sub> equation==
 
==The winland r<sub>35</sub> equation==

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