High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
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DOI：
10.1190/geo2013-0077.1
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发表时间：
2013-09
期刊：
影响因子：
3.3
通讯作者：
Daniel O. Pérez;D. Velis;M. Sacchi
中科院分区：
文献类型：
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作者：
Daniel O. Pérez;D. Velis;M. Sacchi
摘要提出了一种从叠前数据中估计高分辨率幅角属性(AVA)属性的新方法。所提出的技术提高了稀疏尖峰反射率，当与源子波卷积时，符合观测数据。利用结合快速迭代收缩阈值算法(FISTA)和标准最小二乘(LS)反演的混合两步策略进行反演。FISTA可以看作是经典梯度算法的扩展，它通过最小化建模数据和观测数据之间的失配以及解的L1范数来提供稀疏解。FISTA用于估计主反射器的时间位置。然后，使用LS来检索尊重数据的适当的反射率幅度。FISTA与L1-范数正则化的其他迭代求解器一样，不需要显式形式的矩阵，使其易于应用，在计算方面经济，并...
ABSTRACTA new inversion method to estimate high-resolution amplitude-versus-angle attributes (AVA) attributes such as intercept and gradient from prestack data is presented. The proposed technique promotes sparse-spike reflectivities that, when convolved with the source wavelet, fit the observed data. The inversion is carried out using a hybrid two-step strategy that combines fast iterative shrinkage-thresholding algorithm (FISTA) and a standard least-squares (LS) inversion. FISTA, which can be viewed as an extension of the classical gradient algorithm, provides sparse solutions by minimizing the misfit between the modeled and the observed data, and the l1-norm of the solution. FISTA is used to estimate the location in time of the main reflectors. Then, LS is used to retrieve the appropriate reflectivity amplitudes that honor the data. FISTA, like other iterative solvers for l1-norm regularization, does not require matrices in explicit form, making it easy to apply, economic in computational terms, and ad...