PARAMETERVARIATION IMPROVEMENT FOR SEISMIC DATA USING SENSITIVITY KERNELS

摘要

Methods and systems for optimizing the quantity and precision of processed seismic data based on reducing destructive interference of the seismic data. Sensitivity kernels are computed based on the medium of interest, e.g., source-receiver pairs, CDP collections and migrated collections, for a preselected wavefield parameter, e.g., travel-time, amplitude, slowness, etc., using a velocity model. Next, wavefield parameters are computed for a selected subset of the medium and are inverted or deconvolved with the sensitivity kernels to generate subsurface parameter variations.