Dynamic connectivity measures on turbidite channel complex architectures - Université de Lorraine
Conference Papers Year : 2022

Dynamic connectivity measures on turbidite channel complex architectures

Enrico Scarpa
  • Function : Author
  • PersonId : 1218578
Pauline Collon
Christophe Antoine
Guillaume Caumon

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 impact the connectivity of sand-rich bodies and affect hydrocarbons recovery. Some works have analyzed the static connectivity of various stacking patterns; however, few have qualitatively evaluated the dynamic implications of different stacking patterns on fluid flow circulations. For this reason, we analyze the hydrodynamic responses of several stacking patterns considering a set of many stochastic realizations grouped into three categories, where each category considers one particular stacking pattern setting. To study the hydrodynamic responses, we set a two-phase system containing oil and water, quantify the oil recovery efficiency, the water breakthrough time, and we compute the dissimilarities between the saturation maps at a specific time equal to 0.5 the injected pore volume. The metrics and dissimilarities are then visualized using heat maps and two-dimensional representations based on multidimensional scaling. This approach facilitates the comparison among flow simulations and quantitatively evaluates the differences of stacking patterns in a channelized submarine meandering reservoir. Moreover, our method permits us to estimate the relation between static and dynamic metrics descriptions.

Domains

Earth Sciences
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Dates and versions

hal-03951789 , version 1 (23-01-2023)

Identifiers

  • HAL Id : hal-03951789 , version 1

Cite

Enrico Scarpa, Pauline Collon, Irina Panfilov, Christophe Antoine, Guillaume Caumon. Dynamic connectivity measures on turbidite channel complex architectures. IAMG 21st annual conference, 2022, Nancy, France. ⟨hal-03951789⟩
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