We have developed a multisource full‐waveform inversion algorithm using a dynamic phase encoding strategy with dual‐randomization—both the position and polarity of simultaneous sources are randomized and changed every iteration. The dynamic dual‐randomization is used to promote the destructive interference of crosstalk noise resulting from blending a large number of common shot gathers into a supergather. We compare our multisource algorithm with various algorithms in a numerical experiment using the 3D SEG/EAGE overthrust model and show that our algorithm provides a higher‐quality velocity tomogram than the other methods that use only monorandomization. This suggests that increasing the degree of randomness in phase encoding should improve the quality of the inversion result.
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机译：我们使用具有双随机化的动态相位编码策略，开发了一种多源全波形反演算法-同步源的位置和极性均被随机化，并在每次迭代中进行更改。动态双重随机化用于增强将大量常见镜头集混入超级集合中而产生的串扰噪声的破坏性干扰。我们在使用3D SEG / EAGE上推模型的数值实验中将我们的多源算法与各种算法进行了比较，结果表明，与仅使用单随机化的其他方法相比，我们的算法提供了更高质量的速度层析成像。这表明增加相位编码中的随机度应该可以提高反演结果的质量。
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