--> Abstract: Deterministic And Stochastic Modeling Of Aquifer Stratigraphy, South Carolina Coastal Plain, by R. B. Miller, T. J. Temples, and J. W. Castle; #90928 (1999).

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MILLER, RUSSELL B.1, TOM J. TEMPLES2, and JAMES W. CASTLE1
1Dept. of Geological Sciences, Clemson University, SC
2U.S. Dept. of Energy, Savannah River Site, Aiken, SC

Abstract: Deterministic and Stochastic Modeling of Aquifer Stratigraphy, South Carolina Coastal Plain

Three-dimensional computer modeling and visualization methods were applied to detailed stratigraphic characterization of contaminated Eocene aquifers at the Savannah River Site, South Carolina. Models were developed and constructed by incorporating a sequence-stratigraphic framework using deterministic and stochastic methods. Specific procedures included defining grid architecture using stratal surfaces, upscaling, modeling lithologic properties deterministically, and creating multiple equiprobable realizations of aquifer stratigraphy. The resulting models identify geological characteristics that control ground-water movement and contaminant migration.

These models effectively represent contrasts between sheetlike geometry of nearshore-transgressive sands in the Lost Lake aquifer zone and laterally discontinuous sands of comp ex shoreline environments in the M-Area aquifer zone. Trends and lateral facies changes of shoreface sandbars pinching out to the south are predicted by the models. Thin, high gamma-radiation intervals in the M Area aquifer zone represent poorly sorted sand containing clay beds and soil horizons, which formed under lowenergy conditions in the backshore environment. These thin zones are likely to act as local barriers to flow.

Three-dimensional integration of well data with depositional and sequence stratigraphic interpretations produced quantitative, geocellular aquifer models. These models are directly applicable to predicting preferential pathways of contaminant migration, determining optimum well locations, providing input data for flow simulators, and designing remediation systems.

AAPG Search and Discovery Article #90928©1999 AAPG Annual Convention, San Antonio, Texas