3D VSP data provides a unique opportunity to improve image resolution and fault definition in the vicinity of a well. However, the processing and imaging of VSP data requires special accommodations for its distinctive acquisition geometry. In this abstract, we demonstrate two key VSP pre-processing steps that greatly impacted the final image from the Mad Dog 3D VSP data, including XYZ vector field reorientation based on 3D elastic finite-difference modelling, and shot-to-shot directional designature using near field hydrophone data. We also discuss how utilizing the multiple energy - in addition to primary - extends our capability to image the shallow overburden.
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