在这篇文章的前一部分中介绍了以模型为基础的深度成像技术。通过不同构造特征的具体例子讨论了这项技术的应用领域,展示了图像质量的改进过程,并进而说明了为什么这项技术能赢得人们的信赖。 深度成像并不是新推出一项技术,而是该项技术的应用在过去一直不能实现。首先是因为它的计算工作量很大;其次是因为要使成像质量的改善效果超过传统的时间偏移成像方法,必须求得高精度的地下速度资料。这篇文章将讨论为建立速度模型所采用的主要技术的理论和方法。 In the first part of this article, model-based depth imaging techniques are introduced. The application areas of this technique are discussed through concrete examples of different tectonic features, demonstrating the improvement of image quality and further illustrating why this technique can win people’s trust. Deep imaging is not a new introduction of a technology, but the application of the technology has not been possible in the past. The first is that it requires a lot of computational effort, and the second is that high-precision subsurface velocity data must be obtained for better imaging quality than conventional time-migration imaging methods. This article will discuss the theories and methods used to build the velocity models.