摘要

Least-square reverse time migration delivers high resolution and amplitude-preserved images as it introduces the imaging problem into the least-square inversion framework. However, it also has the defect of poor efficiency. The paper presents the theory and workflow of plane-wave least-square reverse time migration (PLSRTM) with different encoding strategies including statistic encoding, dynamic encoding, hybrid encoding and random dynamic encoding. Eefficiency improvement is achieved by encoding enormous shot data to produce several plane-wave records. Numerical tests on Marmousi model and comparison with RTM results show that PLSRTM can produce images with higher quality and resolution efficiently compared with conventional RTM;and appropriate strategies should be chosen according to the imaging requirements to implement the PLSRTM since every encoding strategy has their own advantages.

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