Different surface seismic surveys have been recorded on an experimental hydrogeological site that has been developed for several years near Poitiers (France). The paper shows how 3D seismic imaging can be used to describe the near-surface heterogeneous aquifer. The acquisition spread is designed to perform both 3D refraction and reflection seismic surveying. Refraction survey enables us to obtain a 3D image in depth of a low velocity superficial zone contrasting with the underlying water - bearing carbonates. Variogram analysis and geostatistical filtering allow to filter random and structured acquisition noise. Factorial kriging is used to filter the small scale structures (cubic structure with a range of 55 m and nugget) in order to make the large scale structures appear and to determine their orientation: a main orientation N90 and a secondary orientation N50. These two directions have been selected to implement two deviated wells C3 and C4. Reflection survey enables us to get a 3D seismic pseudo velocity block in depth. The vertical resolution is enhanced thanks to deconvolution after depth conversion. A Wiener filter, defined at a reference well C1 has been applied to the seismic traces to convert into velocity the amplitude sections. The results obtained are validated at four wells (MP6, MP5, M8, M9) in which acoustic data have been recorded. The 3D seismic pseudo velocity block shows the large heterogeneity of the aquifer reservoir in the horizontal and vertical planes, confirms the main structural orientations (N90 and N50) pointed out by refraction survey. At a given depth, the velocity distribution shows preferential connections between wells. As an example, well pumping tests and pressure interference confirm the hydrodynamic connection between wells M13 and M21 defined by a low velocity zone at 88 m depth. Copyright © 2007, Institut français du pétrole.
CITATION STYLE
Mari, J. L., & Porel, G. (2008). 3D seismic imaging of a near-surface heterogenous aquifer: A case study. Oil and Gas Science and Technology, 63(2), 179–201. https://doi.org/10.2516/ogst:2007077
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