Impact of sparse acquisition geometry on gas injection time-lapse imaging: A case study using the physical model sand mound dataset.

Christina Schumacher, Kristopher A. Innanen, Joe Wong

Using the sand-mound dataset from the CREWES physical modeling labratory, we examine how sparse acquisition affects time-lapse imaging in a gas-injected physical model and demonstrate how 2D lines can be used to construct a coherent 3D volume. Densification through interpolation is explored to further enhance imaging of the volume. The results show that interpolation significantly improves reflector continuity and structural resolution, particularly in higher-fold densified datasets, enabling sufficiently reliable time-lapse monitoring of gas injection utilizing sparse acquisition survey designs. By simulating a sparse 3D survey geometry, this approach provides a practical framework for evaluating the potential of sparse acquisition strategies in carbon management and other reservoir monitoring applications.