Efficient and low-cost node seismic data recovery based on Curvelet compression sensing

Owing to increasingly complex surface conditions for land seismic acquisition in petroleum exploration, conventional wired acquisition has become environmentally unfeasible, leading to a dramatic increase in exploration costs. Compressed sensing technology is utilized, incorporating curvelet transform, iterative threshold, and sampling matrix, to recover and reconstruct the acquired ocean bottom node (OBN) data. Model tests show satisfactory data restoration when complete data is available on both sides of the missing traces and when missing traces comprise less than 6% of the total. The threshold and curvelet scale will be determined based on the measured data. A field OBN data application involving 1378 shots demonstrates effective restoration and reconstruction of missing data. The improved event continuity and information content validate the use of compressed sensing for data restoration and reconstruction.