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Two 2D reflection seismic surveys and a follow-up pilot sparse 3D survey were conducted in the Blötberget mine area of central Sweden during 2015–2019. They revealed distinct moderately-dipping reflections originating from the mineralization and crosscutting structures. The excellent results of the sparse 3D dataset helped refine geological models of the subsurface and showed potential additional resources on the order of 10 Mt. Limitations due to accessibility and cost-effectiveness led to sparse, narrow source-receiver azimuth acquisition setup that necessitated the need for tailored processing approaches. In this study, a seismic profile extracted from the 3D dataset was reprocessed fully in 2D with the motivation to improve image quality, given the orientation of the profile with respect to the deposits. As a result, the iron-oxide deposits are imaged with higher resolution and continuity, showing the potential of complementary processing solutions for sparse 3D datasets in hard rock settings for enhanced and deeper imaging. While we do not advocate for 2D acquisition and processing workflows, we note improved static solutions when data are treated in 2D and less smearing effects when data are not binned 3D for sparse datasets. This opens new scopes for treating sparse data that can be at least complementary.