Sparse 3D Acquisition - Simulation And Optimisation By the CRS Technique Available to Purchase

3D seismic acquisition proved to solve many complex subsurface problems which could not be addressed by 2D seismics. However, 3D acquisition is expensive. For this reason sparse 3D acquisition has become popular a popular way to decrease acquisition costs, in many cases with the unwanted side-effect of decreasing image as well. In this paper, CRS processing is proposed as a tool to reduce acquisition fold without substantial loss of image quality. Hence, the CRS technique proves to be an ideal complement to sparse 3D acquisition. For a given datasets, different acquisition setups are simulated, and the results from both, conventional processing and CRS processing techniques are compared. The CRS processing keeps the imaging quality obtained at the level of the regular acquisition geometry, even when reducing acquisition fold by a factor 4.