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The AAPG/Datapages Combined Publications Database

AAPG Special Volumes

Abstract


AAPG Memoir 69: Reservoir Quality Prediction in Sandstones and Carbonates, 1997
Edited by J. A. Kupecz, J. Gluyas, and S. Bloch
Pages 29-46

Previous HitPorosityNext Hit Variation in Carbonates as a Function of Previous HitDepthNext Hit: Mississippian Madison Group, Williston Basin

Alton Brown

ABSTRACT

Log-determined porosities of argillaceous limestone, limestone, dolomitic limestone, and dolomite of the Mississippian Madison Group in the Williston Basin were analyzed to determine the influence of carbonate mineralogy, shale content, and fabric on Previous HitporosityNext Hit loss with Previous HitdepthNext Hit of burial. Carbonate mineralogy and shale content strongly influence the rate of Previous HitporosityNext Hit loss. Argillaceous carbonates lose Previous HitporosityNext Hit at the greatest rate with burial, followed by clean limestone, dolomitic limestone, and dolomite. Average Previous HitporosityNext Hit of grain-supported limestone is not systematically higher than average Previous HitporosityNext Hit of mud-supported limestone in the same Previous HitdepthNext Hit range, but there is a significant difference in the respective Previous HitporosityNext Hit range. Moderately to deeply buried (1.5-3 km) limestones with a grain-supported texture have a small percentage of high-Previous HitporosityNext Hit samples, whereas Previous HitporosityNext Hit distributions in matrix-supported limestones at equal burial Previous HitdepthNext Hit cluster around the mean Previous HitporosityNext Hit and lack a tail of high-Previous HitporosityNext Hit samples. This effectively limits economic Previous HitporosityNext Hit in moderately to deeply buried Madison limestones to grain-supported rocks (packstones and grainstones).

Results of this study reveal characteristics of basin-scale Previous HitporosityNext Hit loss mechanisms. Secondary Previous HitporosityNext Hit formed during burial is not evident in the Previous HitporosityNext Hit-Previous HitdepthNext Hit profiles. Previous HitPorosityNext Hit loss is strongly influenced by mineralogy; clay content greatly accelerates the rate of Previous HitporosityNext Hit loss in limestones. In these rocks, dolomite Previous HitporosityNext Hit higher than limestone Previous HitporosityNext Hit at a given Previous HitmaximumNext Hit burial Previous HitdepthNext Hit is due primarily to selective preservation of dolomite Previous HitporosityNext Hit. Previous HitPorosityNext Hit decreases with increasing temperature in rocks with otherwise similar burial (effective stress) history. The observed Previous HitporosityNext Hit-Previous HitdepthNext Hit relationships roughly follow an exponential trend; this may indicate that there is some sort of feedback between Previous HitporosityNext Hit and the Previous HitporosityNext Hit reduction mechanism.

End_Page 29-------------------------

Data generated in this study can be used to predict Previous HitporosityNext Hit distribution at a given Previous HitdepthNext Hit in the Mississippian strata of the Williston Basin if no other information is available. Average limestone Previous HitporosityNext Hit at moderate to deep burial is significantly less than the Previous HitporosityNext Hit required for economic development of unfractured petroleum accumulations, so average Previous HitporosityNext Hit cannot be used as an estimate of economic Previous HitporosityNext Hit in a prospect. However, the distribution of Previous HitporosityNext Hit in a Previous HitdepthNext Hit range can be used to estimate the risk associated with encountering sufficient thickness of economic Previous HitporosityNext Hit. The presence or absence of potentially economic Previous HitporosityNext Hit is best evaluated as a risk statement. For this reason, the Previous HitporosityNext Hit cumulative frequency distribution in a given Previous HitdepthNext Hit range is a particularly useful tool because it can be interpreted in terms of expected thickness of Previous HitporosityNext Hit higher than a given threshold value. If information about vertical spatial correlation of Previous HitporosityNext Hit is available, the distribution can be interpreted in terms of risk of finding a minimum net thickness of carbonate exceeding a threshold Previous HitporosityNext Hit level. These methods can be used in other wildcat exploration settings where proper calibration data have been collected. The results of this study can be used as a guide to understanding Previous HitporosityNext Hit distribution with Previous HitdepthTop in other Paleozoic carbonates, and perhaps be directly applied to other late Paleozoic carbonates in cratonic settings.


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