Recovering Dense and Regularly Sampled 5-D Seismic Data from Current Land Acquisition

A038 Z-99 Recovering dense and regularly sampled 5-D seismic data from current land acquisition Abstract 1 SHENG XU 1 * YU ZHANG 1 GILLES LAMBARÉ 2 1 Veritas DGC 10300 town park Drive Houston Texas 77072 USA 2 Ecole des Mines de Paris 35 Rue St. Honoré Fontainbleau 77305 France Ideal 3-D land seismic data processing requires a dense five-dimensional dataset though the current land acquisitions only involve sparse line spacing for both shot lines and receiver lines. Limited by the field conditions even the sparsely sampled seismic data cannot be acquired on a regular grid. Therefore an effective regularization