Dynamic connectivity analysis of turbidite channel complex architectures

@inproceedings{scarpa_dynamic_2022,
 abstract = { Channelized submarine systems are often gathered into complexes and display various stacking patterns. Their internal architectures represent one of the fundamental properties of a reservoir because they control the connectivity of high-permeability and low permeability sedimentary bodies and affect reservoir behavior. Some works have analyzed the static connectivity of various stacking patterns; however, few have quantitatively evaluated the dynamic implications of different stacking patterns on fluid flow circulation. In this work, we analyze the hydrodynamic responses of several stacking patterns considering a set of 300 stochastic realizations grouped into three categories: disorganized stacking channels, disorganized stacking conditioned to a vertical sand proportion map, and organized stacking reproducing channel vertical and lateral migration. To study the hydrodynamic responses, we set a two-phase system containing oil and water and quantify the oil recovery efficiency and the water breakthrough time. We compute the dissimilarities between the saturation fields at a specific time equal to 30 \% of the injected pore volume. The metrics and dissimilarities are then visualized using heat maps. This approach facilitates the comparison among flow simulations. It highlights a delay of water breakthrough time in disorganized stacking patterns and a less optimistic recovery efficiency in organized stacking patterns. Our dynamic measures confirm a link with the spatial disposition of sand channels as supposed in static metrics analysis. },
 author = { Scarpa, Enrico AND Collon, Pauline AND Panfilov, Irina AND Antoine, Christophe AND Caumon, Guillaume },
 booktitle = { 2022 {RING} {Meeting} },
 pages = { 15 },
 publisher = { ASGA },
 title = { Dynamic connectivity analysis of turbidite channel complex architectures },
 year = { 2022 }
}