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Line 80: − <gallery mode=packed heights=200px widths=200px> − file:predicting-reservoir-system-quality-and-performance_fig9-55.png|{{figure number|2}}Flow chart to predict the effect of original sediment composition on subsequent diagenesis. Copyright: Surdam et al.;<ref name=Surdam>Surdam, R. C., T. L. Dunn, D. B. MacGowan, and H. P. Heasler, 1989, Conceptual models for the prediction of porosity evolution with an example from the Frontier Sandstone, Bighorn basin, Wyoming, in E. B. Coalson, S. S. Kaplan, C. W. Keighin, L. A. Oglesby, and J. W. Robinson, eds., Sandstone Reservoirs: Rocky Mountain Association of Geologists, p. 7–21.</ref> courtesy RMAG. − file:predicting-reservoir-system-quality-and-performance_fig9-56.png|{{figure number|3}}Flow chart to estimate the effects of near-surface diagenesis (depth to point where temperature reaches [[temperature::80°C]]. Copyright: Surdam et al.;<ref name=Surdam /> courtesy RMAG. − file:predicting-reservoir-system-quality-and-performance_fig9-57.png|{{figure number|4}}Flow chart to predict the effects of mechanical diagenesis on sandstone porosity. Copyright: Surdam et al.;<ref name=Surdam /> courtesy RMAG. − file:predicting-reservoir-system-quality-and-performance_fig9-58.png|{{figure number|5}}Diagram showing diagenetic and burial history for the Brent Group Sandstones, North Sea. Line thicknesses indicate relative abundance of diagenetic components. Copyright: Wilson;<ref name=Wilson>Wilson, M. D., 1994, Assessing the relative importance of diagenetic processes and controls, in M. D. Wilson, ed., Reservoir Quality Assessment and Prediction in Clastic Rocks: SEPM Short Course 30, p. 259–276.</ref> courtesy SEPM. − file:predicting-reservoir-system-quality-and-performance_fig9-59.png|{{figure number|6}}Example of sandstone porosity prediction using burial history. From Hayes;<ref name=Hayes>Hayes, J. B., 1983, Sandstone diagenesis as an exploration tool: AAPG Clastic Diagenesis School, June 27–July 1, Monterey, California.</ref> courtesy AAPG. − </gallery> Line 93:
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Predicting sandstone reservoir porosity (view source)
Revision as of 16:47, 3 March 2015
, 16:47, 3 March 2015no edit summary
==Predicting effects of diagenesis on porosity==
==Predicting effects of diagenesis on porosity==
<gallery mode=packed heights=500px widths=500px>
file:predicting-reservoir-system-quality-and-performance_fig9-55.png|{{figure number|2}}Flow chart to predict the effect of original sediment composition on subsequent diagenesis. Copyright: Surdam et al.;<ref name=Surdam>Surdam, R. C., T. L. Dunn, D. B. MacGowan, and H. P. Heasler, 1989, Conceptual models for the prediction of porosity evolution with an example from the Frontier Sandstone, Bighorn basin, Wyoming, in E. B. Coalson, S. S. Kaplan, C. W. Keighin, L. A. Oglesby, and J. W. Robinson, eds., Sandstone Reservoirs: Rocky Mountain Association of Geologists, p. 7–21.</ref> courtesy RMAG.
file:predicting-reservoir-system-quality-and-performance_fig9-56.png|{{figure number|3}}Flow chart to estimate the effects of near-surface diagenesis (depth to point where temperature reaches [[temperature::80°C]]. Copyright: Surdam et al.;<ref name=Surdam /> courtesy RMAG.
file:predicting-reservoir-system-quality-and-performance_fig9-57.png|{{figure number|4}}Flow chart to predict the effects of mechanical diagenesis on sandstone porosity. Copyright: Surdam et al.;<ref name=Surdam /> courtesy RMAG.
</gallery>
Sandstone porosity prediction is a matter of estimating original composition and subsequent diagenesis. Use the list below to predict sandstone porosity.
Sandstone porosity prediction is a matter of estimating original composition and subsequent diagenesis. Use the list below to predict sandstone porosity.
==Predicting effect of provenance on diagenesis==
==Predicting effect of provenance on diagenesis==
Use the flow chart in [[:file:predicting-reservoir-system-quality-and-performance_fig9-55.png|Figure 2]] to predict the effect of original sediment composition on subsequent diagenesis.
Use the flow chart in [[:file:predicting-reservoir-system-quality-and-performance_fig9-55.png|Figure 2]] to predict the effect of original sediment composition on subsequent diagenesis.
==Using burial history to predict porosity==
==Using burial history to predict porosity==
<gallery mode=packed heights=400px widths=400px>
file:predicting-reservoir-system-quality-and-performance_fig9-58.png|{{figure number|5}}Diagram showing diagenetic and burial history for the Brent Group Sandstones, North Sea. Line thicknesses indicate relative abundance of diagenetic components. Copyright: Wilson;<ref name=Wilson>Wilson, M. D., 1994, Assessing the relative importance of diagenetic processes and controls, in M. D. Wilson, ed., Reservoir Quality Assessment and Prediction in Clastic Rocks: SEPM Short Course 30, p. 259–276.</ref> courtesy SEPM.
file:predicting-reservoir-system-quality-and-performance_fig9-59.png|{{figure number|6}}Example of sandstone porosity prediction using burial history. From Hayes;<ref name=Hayes>Hayes, J. B., 1983, Sandstone diagenesis as an exploration tool: AAPG Clastic Diagenesis School, June 27–July 1, Monterey, California.</ref> courtesy AAPG.
</gallery>
Reconstructing burial history aids sandstone porosity prediction. Aburial history diagram integrates tectonic and hydrologic history with diagenetic evolution to predict sandstone porosity. The list below outlines steps for predicting porosity from burial history and is illustrated in [[:file:predicting-reservoir-system-quality-and-performance_fig9-58.png|Figure 5]].
Reconstructing burial history aids sandstone porosity prediction. Aburial history diagram integrates tectonic and hydrologic history with diagenetic evolution to predict sandstone porosity. The list below outlines steps for predicting porosity from burial history and is illustrated in [[:file:predicting-reservoir-system-quality-and-performance_fig9-58.png|Figure 5]].