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Understanding stochastic inversion: part 1

机译:了解随机反演:第1部分

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摘要

Seismic inversion tools designed to estimate impedance have been available to geophysicists for over 20 years. Most of the available methods are based on forward convolution of a reflectivity model with the estimated wavelet, comparison of the modelled output with the observed seismic trace and then updating the reflectivity model (inverting) to minimize the difference between the modelled and observed traces. Whether generalized linear inversion, sparse spike, or simulated annealing, all the algorithms work on this basic principle of minimization. Methods based on minimization are commonly referred to as 'deterministic'. The output of a deterministic inversion is a relatively smooth (or blocky) estimate of the impedance.
机译:设计用于估计阻抗的地震反演工具已经可供地球物理学家使用20多年了。大多数可用方法基于反射率模型与估计小波的前向卷积,将模拟输出与观察到的地震迹线进行比较,然后更新反射率模型(反演)以最大程度地减少建模迹线和观察到的迹线之间的差异。无论是广义线性反演,稀疏峰值还是模拟退火,所有算法都基于最小化这一基本原理。基于最小化的方法通常称为“确定性”。确定性反演的输出是相对平滑(或块状)的阻抗估计。

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