Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8908990 | Marine and Petroleum Geology | 2018 | 48 Pages |
Abstract
The methodology used in this work combines classical field data collection (e.g., stratigraphic logs and field-facies mapping) and 3D stochastic modeling by using Petrelâ¢. All the data (top and base of stratigraphic logs, cross-section, key surfaces, lithofacies lateral extension etc.) were georeferenced and inserted into the software to build the digital outcrop model. The 3D facies model has been performed after several simulations through specific stochastic algorithms (SISim, TGSim), comparing the models reproduce by the two algorithms, matching the depositional geometries and the lithofacies association observed in the outcrop. The 3D modeling represents a useful tool to better understand the facies architecture and their complex heterogeneity. Moreover, a detailed 3D facies model provides an essential tool to characterise semi-quantitatively sedimentological features for subsurface reservoir studies.
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Authors
Laura Tomassetti, Lorenzo Petracchini, Marco Brandano, Fabio Trippetta, Andrea Tomassi,