1887

Abstract

Summary

We present a nested hydrogeological characterization methodology to optimize the use of existing data and better plan the acquisition of new data around man-made installations. The workflow is presented at an industrial site where the construction of deep infrastructures has disturbed the local hydrogeology settings. The first step is to lever historical data coming from hydrogeological tests and civil engineering operations before and during the construction of the industrial installations to build the frame of hydrogeological model. Based on the review of this information, new geophysical data acquisition can be scheduled to refine the interfaces between geological units. This initial model serves has a training image to simulate multiple equiprobable scenarios of the site geology while preserving the well information and the location of the buildings as, obviously, deterministic. These geological scenarios are populated with anisotropic hydraulic conductivity fields using sequential Gaussian simulation. These heterogeneous hydraulic conductivity models are ran with a flow and transport simulation algorithm to constitute an ensemble of realizations that is used in an ensemble Kalman time series assimilation scheme.

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/content/papers/10.3997/2214-4609.201902388
2019-09-08
2024-04-27
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