< p >与SBP-SAT方法我没有经验,但是你可能尝试了和通过引用在本文(和潜在联系的作者)< a href = " https://arxiv.org/pdf/1802.06123.pdf " rel = " nofollow noreferrer " > https://arxiv.org/pdf/1802.06123.pdf < / >。< / p > < p >就我个人而言,我不认为严格需要RTM使用这种复杂的造型方法。在理想情况下,您有deghosted(即。向上移动的)记录数据和平滑的速度模型。然后,使用标准的低阶有限差分模型在一个统一的网格应该已经提供相当不错的结果相当小的代价。Likely, you'll achieve better results by optimizing the data & velocity model than improving your numerical code beyond the standards. This simple MATLAB code https://csim.kaust.edu.sa/files/ErSE328.2013/LAB/WE_LABS/index.html already does a brilliant job using 2nd order accuracy in time and 8th order accuracy in space, using a simple FD method. Of course, if you are doing state-of-the-art (academic) research or are dealing with a very atypical velocity model with an extreme dynamic range, these are interesting topics to look into, and I hope that someone may be able to help you... But I hope that my answer may help you right now.