Article open access publication

Large scale 3-D modeling by integration of resistivity models and borehole data through inversion

Hydrology and Earth System Sciences Discussions, Copernicus Publications, ISSN 1812-2116

Volume 11, 2, 2014

DOI:10.5194/hessd-11-1461-2014, Dimensions: pub.1003269228,

Affiliations

Organisations

  1. (1) Aarhus University, grid.7048.b, AU
  2. (2) Technical University of Denmark, grid.5170.3, DTU
  3. (3) Geological Survey of Denmark and Greenland, grid.13508.3f

Countries

Denmark

Continents

Europe

Description

Abstract. We present an automatic method for parameterization of a 3-D model of the subsurface, integrating lithological information from boreholes with resistivity models through an inverse optimization, with the objective of further detailing for geological models or as direct input to groundwater models. The parameter of interest is the clay fraction, expressed as the relative length of clay-units in a depth interval. The clay fraction is obtained from lithological logs and the clay fraction from the resistivity is obtained by establishing a simple petrophysical relationship, a translator function, between resistivity and the clay fraction. Through inversion we use the lithological data and the resistivity data to determine the optimum spatially distributed translator function. Applying the translator function we get a 3-D clay fraction model, which holds information from the resistivity dataset and the borehole dataset in one variable. Finally, we use k means clustering to generate a 3-D model of the subsurface structures. We apply the concept to the Norsminde survey in Denmark integrating approximately 700 boreholes and more than 100 000 resistivity models from an airborne survey in the parameterization of the 3-D model covering 156 km2. The final five-cluster 3-D model differentiates between clay materials and different high resistive materials from information held in resistivity model and borehole observations respectively.

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Aarhus University

Technical University of Denmark

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Times Cited: 3

Field Citation Ratio (FCR): 0.42

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