Automated target-oriented acquisition design: Optimizing both source and receiver geometries

Imperfect spatial sampling causes lack of illumination at the target in the subsurface. The hampered image quality at the target area of interest can cause high uncertainties in reservoir monitoring and production, which can have a high economic impact. Previously we have presented a method that optimizes the receiver geometry while the source side is carpet shooting. In this work, we develop a method that optimizes both the source and receiver geometries in order to obtain a good illumination of a chosen target point, such that they can compensate the missing illumination for each other. With numerical examples, we demonstrate that the proposed method is effective.