Multi-vintage Coherent Noise Attenuation in Time-lapse Processing

TL;DRAbstract

Summary We present the application of a 4D simultaneous coherent noise adaptation algorithm and demonstrate its value with a multi-vintage North Sea case study. The 4D simultaneous adaptation workflow significantly helps in reducing coherent noise and multiple leakage into the 4D difference sections, thus improving its quality and interpretability. The QC maps show a reduction in NRMS of about 20%. The methodology is applicable in a multi-vintage context where more recent surveys are processed simultaneously without imposing a reference base, while older surveys are processed using the fixed base method. The fixed base method is also suitable for repeat-processing projects.

Chat with Paper

AI Agents for this Paper