AUTO Channel: AI-driven Automatic Channel Scalar Correction

Seismic shot processing is critical for the quality of subsurface images, and incorrect shot processing parameterization can degrade an image. Within the realm of deepwater streamer acquisition, channel amplitude correction compensates for amplitude variation among different receivers. However, it can take days for multiple parameterization efforts to perform the conventional processing, which involves manually iterative optimization of processing parameters based on the quality control (QC) of processing outputs. Artificial Intelligence (AI) is proven to be able to perform human-level QC with reduced processing cycle time. Therefore, we propose a new workflow combining a new AI-based QC agent with an automatic optimization method to automate channel amplitude correction, thus reducing the cycle time. The automatic workflow has been successfully applied to multiple Shell assets.