Difference between revisions of "Reservoir system quality prediction"

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  | part    = Predicting the occurrence of oil and gas traps
 
  | part    = Predicting the occurrence of oil and gas traps
 
  | chapter = Predicting reservoir system quality and performance
 
  | chapter = Predicting reservoir system quality and performance
  | frompg  = 9-1
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  | frompg  = 9-73
  | topg    = 9-156
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  | topg    = 9-74
 
  | author  = Dan J. Hartmann, Edward A. Beaumont
 
  | author  = Dan J. Hartmann, Edward A. Beaumont
 
  | link    = http://archives.datapages.com/data/specpubs/beaumont/ch09/ch09.htm
 
  | link    = http://archives.datapages.com/data/specpubs/beaumont/ch09/ch09.htm
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  | isbn    = 0-89181-602-X
 
  | isbn    = 0-89181-602-X
 
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The economic success of any prospect ultimately depends on reservoir system performance. The reservoir system controls two critical economic elements of a prospect: (1) the rate and (2) the amount of hydrocarbons recovered. In geologic terms, [[Classifying pore systems|pore type]] and [[pore–fluid interaction]] are the most important elements determining reservoir system performance.The interrelationship of reservoir [[porosity]], [[permeability]], thickness, and lateral distribution determines reservoir system quality. Although quality prediction is most effective with large amounts of superior data, useful predictions can still be made from very limited data. This section discusses methods for predicting the quality of sandstone and carbonate reservoir systems.
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The economic success of any prospect ultimately depends on reservoir system performance. The reservoir system controls two critical economic elements of a prospect: (1) the rate and (2) the amount of [[hydrocarbon]]s recovered. In geologic terms, [[Classifying pore systems|pore type]] and [[pore-fluid interaction]] are the most important elements determining reservoir system performance.The interrelationship of reservoir [[porosity]], [[permeability]], thickness, and lateral distribution determines reservoir system quality. Although quality prediction is most effective with large amounts of superior data, useful predictions can still be made from very limited data. This section discusses methods for predicting the quality of sandstone and carbonate reservoir systems.
  
 
==Sandstones vs. carbonates==
 
==Sandstones vs. carbonates==
Sandstones and carbonates are the dominant reservoir rocks. Although quite similar, they are different. The table below<ref name=ch09r10>Choquette, P., W., Pray, L., C., 1970, [http://archives.datapages.com/data/bulletns/1968-70/data/pg/0054/0002/0200/0207.htm Geologic nomenclature and classification of porosity in sedimentary carbonates]: AAPG Bulletin, vol. 54, no. 2, p. 207–250. Classic reference for basic concepts regarding carbonate porosity.</ref> compares variables affecting reservoir system quality for sandstones vs. carbonates.
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[[Sandstone]]s and [[carbonate]]s are the dominant [[reservoir]] rocks. Although quite similar, they are different. The table below<ref name=ch09r10>Choquette, P., W., Pray, L., C., 1970, [http://archives.datapages.com/data/bulletns/1968-70/data/pg/0054/0002/0200/0207.htm Geologic nomenclature and classification of porosity in sedimentary carbonates]: AAPG Bulletin, vol. 54, no. 2, p. 207–250. Classic reference for basic concepts regarding carbonate porosity.</ref> compares variables affecting reservoir system quality for sandstones vs. carbonates.
  
 
{| class = "wikitable"
 
{| class = "wikitable"
 
|-
 
|-
! Variable
+
! Variable || Sandstones || Carbonates
! Sandstones
 
! Carbonates
 
 
|-
 
|-
| Sediment composition
+
| Sediment composition || High variability (depending on [http://encyclopedia2.thefreedictionary.com/provenance provenance] and [[Depositional environments|depositional environment]]) || Low variability [variations of [[limestone]] and [[dolomite]] ]
| High variability (depending on provenance and depositional environment)
 
| Low variability [variations of CaCO<sub>3</sub> and MgCa(CO<sub>3</sub> )<sub>2</sub> ]
 
 
|-
 
|-
| Cement mineralogy
+
| Cement mineralogy || [[Quartz]], [[calcite]], [[dolomite]], [[clay]], and [[anhydrite]], etc. || [[Aragonite]], high- and low-Mg calcite, dolomite
| Quartz, calcite, dolomite, clay, and anhydrite, etc.
 
| Aragonite, high- and low-Mg calcite, dolomite
 
 
|-
 
|-
| Original pore geometry
+
| Original [[Pore systems|pore geometry]] || Intergranular || Intergranular predominates, but intragranular is important
| Intergranular
 
| Intergranular predominates, but intragranular is important
 
 
|-
 
|-
| Ultimate pore geometry
+
| Ultimate pore geometry || Intergranular = intercrystalline > moldic || Intergranular = intercrystalline = moldic > microporosity
| Intergranular = intercrystalline > moldic
 
| Intergranular = intercrystalline = moldic > microporosity
 
 
|-
 
|-
| Uniformity of pore size, shape, and distribution
+
| Uniformity of [[Pore and pore throat sizes|pore size]], shape, and distribution || Fairly uniform within a facies || Ranges from fairly uniform to extremely heterogeneous, even within a facies
| Fairly uniform within a facies
 
| Ranges from fairly uniform to extremely heterogeneous, even within a facies
 
 
|-
 
|-
| Influence of diagenesis
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| Influence of [[diagenesis]] || Minor to major || Usually major
| Minor to major
 
| Usually major
 
 
|}
 
|}
  
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[[Category:Predicting the occurrence of oil and gas traps]]  
 
[[Category:Predicting the occurrence of oil and gas traps]]  
 
[[Category:Predicting reservoir system quality and performance]]
 
[[Category:Predicting reservoir system quality and performance]]
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[[Category:Treatise Handbook 3]]

Latest revision as of 17:11, 5 April 2022

Exploring for Oil and Gas Traps
Series Treatise in Petroleum Geology
Part Predicting the occurrence of oil and gas traps
Chapter Predicting reservoir system quality and performance
Author Dan J. Hartmann, Edward A. Beaumont
Link Web page
Store AAPG Store

The economic success of any prospect ultimately depends on reservoir system performance. The reservoir system controls two critical economic elements of a prospect: (1) the rate and (2) the amount of hydrocarbons recovered. In geologic terms, pore type and pore-fluid interaction are the most important elements determining reservoir system performance.The interrelationship of reservoir porosity, permeability, thickness, and lateral distribution determines reservoir system quality. Although quality prediction is most effective with large amounts of superior data, useful predictions can still be made from very limited data. This section discusses methods for predicting the quality of sandstone and carbonate reservoir systems.

Sandstones vs. carbonates

Sandstones and carbonates are the dominant reservoir rocks. Although quite similar, they are different. The table below[1] compares variables affecting reservoir system quality for sandstones vs. carbonates.

Variable Sandstones Carbonates
Sediment composition High variability (depending on provenance and depositional environment) Low variability [variations of limestone and dolomite ]
Cement mineralogy Quartz, calcite, dolomite, clay, and anhydrite, etc. Aragonite, high- and low-Mg calcite, dolomite
Original pore geometry Intergranular Intergranular predominates, but intragranular is important
Ultimate pore geometry Intergranular = intercrystalline > moldic Intergranular = intercrystalline = moldic > microporosity
Uniformity of pore size, shape, and distribution Fairly uniform within a facies Ranges from fairly uniform to extremely heterogeneous, even within a facies
Influence of diagenesis Minor to major Usually major

See also

References

  1. Choquette, P., W., Pray, L., C., 1970, Geologic nomenclature and classification of porosity in sedimentary carbonates: AAPG Bulletin, vol. 54, no. 2, p. 207–250. Classic reference for basic concepts regarding carbonate porosity.

External links

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Reservoir system quality prediction
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