Improving 3D water column seismic imaging using the Common Reflection Surface method

Water column processing has gained attention in recent years since a seismic model of a water column could assist marine data processors to correctly image the sub-seafloor geology, which is the target of primary interest. In addition to seismic processing, water column imaging has gained interest in the physical oceanography community for improved study of oceanographic processes. However, seismic water column processing is challenging since the internal reflections of the ocean are inherently weak and are often masked by noise. In this work, we adopt the common reflection surface stack technique in order to improve the imaging of ocean water layers. The common reflection surface stack is a robust data preconditioning and stacking technique in seismic processing that relies on the kinematic wavefront attributes of seismic waves. The method is applied to a multichannel 3D data set collected for oil and gas exploration in the deep-water Gulf of Mexico. The method greatly improves inline sections but does not significantly enhance crosslines and horizontal slices, which are more sensitive to both the acquisition geometry and the temporal variability of ocean water masses. (C) 2020 Elsevier B.V. All rights reserved.