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Fusing continuous and discrete data, on the example of merging seismic and gravity models in geophysics

机译:融合连续和离散数据,在Geophysics中合并地震和重力模型的例子

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In many application areas, we need to fuse continuous and discrete models of the same phenomena. For example, in geophysics, we have two main models for describing how the sound velocity changes with location and depth: a discrete gravity-based model, in which we have several layers with abrupt transition between layers, and a seismic model, in which the velocity continuously changes with the change in location and depth — and a transition is represented by a steeper change. Due to inevitable uncertainty, in two fused models, the same actual transition is placed at slightly different depths. If we simply fuse these models, the fused model will inherit both nearby transitions and therefore, will, misleadingly, correspond to two nearby transitions instead of one. It is therefore necessary, before fusing, to first get a fused (more accurate) location of the transition surface. In this paper, we show how to find such a location.
机译:在许多应用领域,我们需要保险熔断同一现象的连续和离散模型。例如,在地球物理学中,我们有两种主要模型,用于描述声速如何随着位置和深度而变化:基于离散的基于重力的模型,其中我们在层之间有几个突然转变的层和地震模型,其中速度随着位置和深度的变化而连续变化 - 并且转换由陡峭的变化表示。由于不可避免的不确定性,在两个融合模型中,相同的实际转变被放置在略微不同的深处。如果我们只是融合这些模型,融合模型将继承附近的转换,因此,将误导地,误导性,对应于两个附近的过渡而不是一个。因此,在融合之前,必须首先获得过渡表面的熔融(更准确)的位置。在本文中,我们展示了如何找到这样的位置。

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