Abstract:We propose an adaptive least-squares reverse-time migration to address practical issues in least-squares reverse time migration.These problems include unknown source wavelet,inaccurate migration velocity,massive computation,etc.The adaptive approach involves dynamic time warping,reverse-time migration (RTM) amplitude gain,adaptive weighting factor,and migration aperture control associated with imaging.This approach can correct the mismatching between synthetic and real data in waveform and energy,realize adaptive controlled migration aperture,and solve problems such as imperfect migration velocity,slow convergence,and migration artifacts in gradient computation.Test results on field data in the Block Y indicate that the proposed approach deserves lithologic exploration in the Eastern China.
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