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Abstract

Outcrop analogues are essential to better understand subsurface reservoir architectures. They provide useful information about geobody sizes, geometries and connectivity. There are many advantages in the specific techniques developed for data acquisition from outcrop: continuous collection of data from otherwise inaccessible areas, access to different view angles, increase in possible measurements, attribute analysis, fast data collection rate, and eventually training and communication. Then, these various data are analysed to characterize the spatial distributions of facies. This makes it possible to build 3D geomodels at the reservoir scale. They yield likely representations of subsurface reservoirs. We developed a novel methodology based upon 3D outcrop studies to better calibrate and constrain reservoir models. The primary step of this workflow encompasses the ac-quisition of 3D photogrammetric data from a Small Unmanned Air Vehicle (SUAV) and field sedimentological sections. These 3D data enable to build a continuous representation of the outcrops, which is then processed as usually performed when studying subsurface reservoirs with horizon picking and facies interpretation. This second processing step provides a better quantification of all the input parameters required for completing the subsequent geostatistical modeling step before going to seismic or fluid flow simulation.

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/content/papers/10.3997/2214-4609.201701776
2017-06-12
2024-03-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701776
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