Numerical simulation of subsurface characterization methods : application to a natural aquifer analogue

Information from an outcrop is used as an analogue of a natural heterogeneous aquifer in order to provide an exhaustive data set of hydraulic properties. Based on this data, two commonly used borehole based investigation methods are simulated numerically. For a scenario of sparse sampling of the aquifer, the process of regionalization of the borehole hydraulic conductivity values is simulated by application of a deterministic interpolation approach and conditioned stochastic simulations. Comparison of the cumulative distributions of particle arrival times illustrates the effects of the sparse sampling, the properties of the individual investigation methods and the regionalization methods on the ability to predict flow and transport behaviour in the real system (i.e. the exhaustive data set).

[1]  David W. Pollock,et al.  Documentation of computer programs to compute and display pathlines using results from the U.S. Geological Survey modular three-dimensional finite-difference ground-water flow model , 1989 .

[2]  W. Pryor Permeability-Porosity Patterns and Variations in Some Holocene Sand Bodies , 1973 .

[3]  S. Gorelick,et al.  Heterogeneity in Sedimentary Deposits: A Review of Structure‐Imitating, Process‐Imitating, and Descriptive Approaches , 1996 .

[4]  M. Anderson Subsurface Flow and Transport: Characterization of geological heterogeneity , 1997 .

[5]  J. Peirce,et al.  Identification of Hydraulic Conductivity Structure in Sand and Gravel Aquifers: Cape Cod Data Set , 1996 .

[6]  Fred J. Molz,et al.  The Impeller Meter for measuring aquifer permeability variations: Evaluation and comparison with other tests , 1989 .

[7]  Graham E. Fogg,et al.  Groundwater Flow and Sand Body Interconnectedness in a Thick, Multiple-Aquifer System , 1986 .

[8]  Fritz Stauffer,et al.  Transport modeling in heterogeneous aquifers: 2. Three‐dimensional transport model and stochastic numerical tracer experiments , 1994 .

[9]  P. Jussel,et al.  Transport modeling in heterogeneous aquifers: 1. Statistical description and numerical generation of gravel deposits , 1994 .

[10]  A. Miall Architectural-Element Analysis: A New Method of Facies Analysis Applied to Fluvial Deposits , 1985 .

[11]  G. Teutsch,et al.  Effects of the investigation scale on pumping test results in heterogeneous porous aquifers , 1994 .

[12]  Mary P. Anderson,et al.  Simulation of Preferential Flow in Three-Dimensional, Heterogeneous Conductivity Fields with Realistic Internal Architecture , 1996 .

[13]  Timothy D. Scheibe,et al.  Non‐Gaussian Particle Tracking: Application to scaling of transport processes in heterogeneous porous media , 1994 .

[14]  R. M. Srivastava,et al.  Geostatistical characterization of groundwater flow parameters in a simulated aquifer , 1991 .

[15]  Arlen W. Harbaugh,et al.  A modular three-dimensional finite-difference ground-water flow model , 1984 .

[16]  Clayton V. Deutsch,et al.  GSLIB: Geostatistical Software Library and User's Guide , 1993 .

[17]  P. Witherspoon,et al.  A Method of Analyzing Transient Fluid Flow in Multilayered Aquifers , 1969 .

[18]  G. Dagan Flow and transport in porous formations , 1989 .

[19]  Dean S. Oliver,et al.  The influence of nonuniform transmissivity and storativity on drawdown , 1993 .

[20]  M. Bierkens,et al.  Block hydraulic conductivity of cross-bedded fluvial sediments , 1994 .