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==Effect of temperature==
 
==Effect of temperature==
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[[file:predicting-reservoir-system-quality-and-performance_fig9-46.png|thumb|{{figure number|1}}. Copyright: Wilson, 1994a; courtesy SEPM.]]
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[[file:predicting-reservoir-system-quality-and-performance_fig9-46.png|300px|thumb|{{figure number|1}}. Copyright: Wilson, 1994a; courtesy SEPM.]]
    
Depending on geothermal gradient, the effect of temperature on diagenesis can be significant. Many diagenetic reaction rates double with each [[temperature::10&deg;C]] increase (1000 times greater with each [[temperature::100&deg;C]]).<ref name=ch09r66>Wilson, M., D., 1994a, Non-compositional controls on diagenetic processes, in Wilson, M., D., ed., [[Reservoir quality]] Assessment and Prediction in Clastic Rocks: SEPM Short Course 30, p. 183–208. Discusses the effect that variables such as temperature and pressure have on diagenesis of sandstones. A good reference for predicting sandstone reservoir system quality.</ref> Increasing temperatures increase the solubility of many different minerals, so pore waters become saturated with more ionic species. Either (1) porosity–depth plots of sandstones of the target sandstone that are near the prospect area or (2) computer models that incorporate geothermal gradient are probably best for porosity predictions.
 
Depending on geothermal gradient, the effect of temperature on diagenesis can be significant. Many diagenetic reaction rates double with each [[temperature::10&deg;C]] increase (1000 times greater with each [[temperature::100&deg;C]]).<ref name=ch09r66>Wilson, M., D., 1994a, Non-compositional controls on diagenetic processes, in Wilson, M., D., ed., [[Reservoir quality]] Assessment and Prediction in Clastic Rocks: SEPM Short Course 30, p. 183–208. Discusses the effect that variables such as temperature and pressure have on diagenesis of sandstones. A good reference for predicting sandstone reservoir system quality.</ref> Increasing temperatures increase the solubility of many different minerals, so pore waters become saturated with more ionic species. Either (1) porosity–depth plots of sandstones of the target sandstone that are near the prospect area or (2) computer models that incorporate geothermal gradient are probably best for porosity predictions.

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