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Before starting any realistic simulation, the numerical mesh, which corresponds to a collection of edges, faces, and connecting points, has to be pre-processed. A key step in this includes mesh segmentation steps, where the mesh is simplified while keeping its main features, which is a computationally daunting task. Here, we employ bleeding-edge quantum algorithms for graph-based problems to improve performance and quality of solutions. This leads to significant benefits, e.g. faster and higher-quality mesh segmentation would considerably improve the preprocessing stage in Total’s classic numerical simulation problems, such as seismic depth imaging and reservoir simulations.
Nowadays, computer modelling is extensively used in the core domains of TOTAL’s activities such as Earth imaging, physical modelling for reservoirs, and others.
