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Salt reconstruction in full waveform inversion with a parametric level-set method

机译:用参数水平集方法在全波形反演中重建盐

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摘要

Seismic full-waveform inversion tries to estimate subsurface medium parameters from seismic data. Areas with subsurface salt bodies are of particular interest because they often have hydrocarbon reservoirs on their sides or underneath. Accurate reconstruction of their geometry is a challenge for current techniques. This paper presents a parametric level-set method for the reconstruction of salt-bodies in seismic full-waveform inversion. We split the subsurface model in two parts: a background velocity model and a salt body with known velocity but undetermined shape. The salt geometry is represented by a level-set function that evolves during the inversion. We choose radial basis functions to represent the level-set function, leading to an optimization problem with a modest number of parameters. A common problem with level-set methods is to fine-tune the width of the level-set boundary for optimal sensitivity. We propose a robust algorithm that dynamically adapts the width of the level-set boundary to ensure faster convergence. Tests on a suite of idealized salt geometries show that the proposed method is stable against a modest amount of noise. We also extend the method to joint inversion of both the background velocity model and the salt geometry.
机译:地震全波形反演试图从地震数据中估计地下介质参数。具有地下盐体的区域特别受关注,因为它们的侧面或下方经常有碳氢化合物储层。对它们的几何形状的准确重建是当前技术的挑战。本文提出了一种用于地震全波形反演中盐体重建的参数级集方法。我们将地下模型分为两部分:背景速度模型和盐速度已知但形状不确定的盐体。盐的几何形状由在反转过程中演化的水平集函数表示。我们选择径向基函数来表示水平集函数,从而导致参数数量适中的优化问题。水平集方法的一个常见问题是微调水平集边界的宽度,以获得最佳灵敏度。我们提出了一种鲁棒的算法,该算法可以动态调整水平集边界的宽度以确保更快的收敛。在一组理想的盐几何形状上进行的测试表明,所提出的方法对于适度的噪声是稳定的。我们还将方法扩展到背景速度模型和盐几何的联合反演。

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