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Bruna, P.B.R. (author), Straubhaar, Julien (author), Prabhakaran, R. (author), Bertotti, G. (author), Bisdom, Kevin (author), Mariéthoz, Grégoire (author), Meda, Marco (author)
Natural fracture network characteristics can be establishes from high-resolution outcrop images acquired from drone and photogrammetry. Such images might also be good analogues of subsurface naturally fractured reservoirs and can be used to make predictions of the fracture geometry and efficiency at depth. However, even when supplementing...
journal article 2019
document
Bruna, P.B.R. (author), Prabhakaran, R. (author), Bertotti, G. (author), Straubhaar, Julien (author), Plateaux, R. (author), Maerten, L. (author), Mariéthoz, Grégoire (author), Meda, Marco (author)
Natural fractures conduct fluids in subsurface reservoirs. Quick and realistic predictions of the fracture network organization and its fluid flow efficiency from limited amount of data is critical to optimize resources productivity. We recently developed a method based on multiple point statistics (MPS) technique to produce geologically...
conference paper 2019