Reconstructing missing seismic traces on BP 2007 and Viking Line 12

Abstract

Marine seismic surveys can contain missing or unusable receiver traces. This paper tests how well those traces can be reconstructed. It compares zero fill, linear interpolation, a U-Net trained from random initialization on BP, SwinV2 with ImageNet weights, and SFM with seismic pretraining. BP 2007 supplies complete synthetic shots, so receiver traces can be removed from the input and scored against the target. Viking Line 12 is a field line; the test removes observed field traces and scores their reconstruction after the models are trained only on BP. All learned models use inputs computed from visible traces, predict a correction to a linear interpolation estimate, copy measured traces back, and are scored only on removed traces. On BP 2007, with 75% of receiver traces removed in groups of eight, the U-Net has the lowest RMSE on removed traces, 1.170 ± 0.467. SwinV2 with LoRA is the best pretrained method on BP, 2.247 ± 0.196. On Viking Line 12, using BP-trained weights without field retraining, the U-Net has the lowest mean RMSE, 16.38 ± 22.88, but repeat variation is large. Frozen SFM is the best pretrained method on Viking by RMSE, 19.98 ± 0.62, and has the highest SSIM.