THREE-DIMENSIONAL GEOLOGIC MAPPING FOR GROUNDWATER APPLICATIONS

The Pacific Northwest Center for Geologic Mapping Studies (GeoMapNW), a research center within the Earth and Space Sciences Department at the University of Washington, develops and conducts high-resolution geologic mapping, informed by a database of geotechnical boreholes. These maps, database, and derivative products, currently available for the Seattle area, constitute one of the most comprehensive set of geologic information available for an urban area in the U.S. and as such provide the basis for detailed seismic shaking maps, landslide hazard maps, groundwater studies, engineering studies, transportation planning, and geological hazard assessments. GeoMapNW also conducts geologic research fundamental to understanding our earth materials and maintains an outreach program for technical and lay audiences. All data maps, and 3-D visualizations are available through the internet and are heavily used by government and private parties alike.

[1]  A. Keith Turner,et al.  New Paradigms in Subsurface Prediction , 2003 .

[2]  Fritz Stauffer,et al.  A numerical three‐dimensional conditioned/unconditioned stochastic facies type model applied to a remediation well system , 1998 .

[3]  E. Langsholt,et al.  Development of Three‐Dimensional Hydrostratigraphical Architecture of the Unsaturated Zone Based on Soft and Hard Data , 1998 .

[4]  Peter Huggenberger,et al.  Radar facies: recognition of facies patterns and heterogeneities within Pleistocene Rhine gravels, NE Switzerland , 1993, Geological Society, London, Special Publications.

[5]  Graham E. Fogg,et al.  Multi-scale alluvial fan heterogeneity modeled with transition probability geostatistics in a sequence stratigraphic framework , 1999 .

[6]  R. Allen‐King,et al.  Why did Sudicky [1986] find an exponential‐like spatial correlation structure for hydraulic conductivity at the Borden research site? , 2006 .

[7]  K. Parks,et al.  Canadian framework for collaboration on groundwater , 2003 .

[8]  Christian Regli,et al.  Interpretation of drill-core and georadar data of coarse gravel deposits , 2002 .

[9]  R. Lefebvre,et al.  3D geologic framework models for regional hydrogeology and land-use management: a case study from a Quaternary basin of southwestern Quebec, Canada , 2005 .

[10]  T. Harter,et al.  Saturated zone denitrification: potential for natural attenuation of nitrate contamination in shallow groundwater under dairy operations. , 2007, Environmental science & technology.

[11]  Alan G. Green,et al.  Using two- and three-dimensional georadar methods to characterize glaciofluvial architecture , 1999 .

[12]  J. Christian 3D geoscience modeling: Computer techniques for geological characterization , 1996 .

[13]  P. Avseth Combining rock physics and sedimentology for seismic reservoir characterization of North Sea turbidite systems , 2000 .

[14]  Patrick M. Knupp,et al.  Fundamentals of Grid Generation , 2020 .

[15]  J. Mount,et al.  Glacially Driven Cycles in Accumulation Space and Sequence Stratigraphy of a Stream-Dominated Alluvial Fan, San Joaquin Valley, California, U.S.A. , 2002 .

[16]  P. L. Baker,et al.  Response of ground-penetrating radar to bounding surfaces and lithofacies variations in sand barrier sequences , 1991 .

[17]  E. Gutentag Studies of the Pleistocene and Pliocene Deposits in Southwestern Kansas , 1963 .

[18]  N. Dubrovsky,et al.  Nitrate and pesticides in ground water in the eastern San Joaquin Valley, California : occurrence and trends , 1998 .

[19]  U. T. Paulo R. Cavalcanti Mello AAPG/Datapages Discovery Series No. 7: Multidimensional Basin Modeling, Chapter 16: A Topologically Based Framework for 3-D Basin Modeling , 2003 .

[20]  Brian Kelk 3-D Modelling With Geoscientific Information Systems: The Problem , 1992 .

[21]  T. Mukerji,et al.  Statistical rock physics: Combining rock physics, information theory, and geostatistics to reduce uncertainty in seismic reservoir characterization , 2001 .

[22]  G. Fogg,et al.  Dispersion of groundwater age in an alluvial aquifer system , 2002 .

[23]  Robert W. Masters,et al.  Comparing statistical models of physical heterogeneity in buried‐valley aquifers , 2000 .

[24]  M. Ross Stratigraphie et architecture des formations quaternaires au nord-ouest de Montréal: applications en hydrogéologie régionale. , 2004 .

[25]  Xianlin Ma,et al.  Modeling Conditional Distributions of Facies from Seismic Using Neural Nets , 2002 .

[26]  Alex Smirnoff,et al.  Support vector machine for 3D modelling from sparse geological information of various origins , 2008, Comput. Geosci..

[27]  Harry M. Jol,et al.  A comparison of the correlation structure in GPR images of deltaic and barrier‐spit depositional environments , 2000 .

[28]  Alan G. Green,et al.  Mapping the architecture of glaciofluvial sediments with three-dimensional georadar , 1995 .

[29]  R. A. Overmeeren,et al.  Radar facies of unconsolidated sediments in The Netherlands: A radar stratigraphy interpretation method for hydrogeology , 1998 .

[30]  C. Mann Uncertainty in geology , 1993 .

[31]  A. Keith Turner Three-dimensional modeling with geoscientific information systems , 1992 .

[32]  H. Trease,et al.  Geological applications of automatic grid generation tools for finite elements applied to porous flow modeling , 1996 .

[33]  J. Caers,et al.  Stochastic estimation of facies using ground penetrating radar data , 2003 .

[34]  F. P. Haeni,et al.  Application of Ground‐Penetrating‐Radar Methods in Hydrogeologie Studies , 1991 .

[35]  Bin Jiang Beyond Serving Maps: Serving Gis Functionality Over the Internet , 2003 .

[36]  Applied Research in ArcObjects-based Hydrodynamic Analysis Authors , 2005 .

[37]  J. Mallet,et al.  Building and Editing a Sealed Geological Model , 2004 .

[38]  Harry M. Jol,et al.  Ground penetrating radar of northern lacustrine deltas , 1991 .

[39]  A. Keith Turner,et al.  Challenges and trends for geological modelling and visualisation , 2006 .

[40]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..