Source Localisation and Joint Velocity Model Building
Leon Diekmann, Benjamin Schwarz, Alexander Bauer, Dirk Gajewski · Proceedings · 2018
Summary We present a fully automatic localisation and joint velocity model building scheme that needs no other a priori information than the locally constant near surface velocity. It is based on attributes, which are related to the directions and the curvatures of the recorded wavefronts, and proves to be reliable even for high levels of noise contamination and amplitude-weak events. These wavefront attributes are estimated using local coherence analysis and represent the input for wavefront tomography which eventually leads to a joint estimation of the spatial source location and the overburden velocity distribution. We demonstrate the feasibility of the proposed workflow with a 2D synthetic example and demonstrate the applicability of the wavefront attribute estimation to 3D data.