Automatic velocity analysis using high-resolution hyperbolic Radon transform
Automatic velocity analysis using high-resolution hyperbolic Radon transform
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DOI：
10.1190/geo2017-0813.1
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发表时间：
2018-07
期刊：
影响因子：
3.3
通讯作者：
Yangkang Zhang
中科院分区：
文献类型：
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作者：
Yangkang Zhang
速度分析是反射地震资料处理和成像的关键。速度拾取在工业中广泛用于建立初始速度模型。当地震数据量变得非常大时，我们无法承担速度拾取所需的相应奋进。在这种情况下，自动速度拾取算法是非常必要的。我们已经开发了一种新的自动速度分析算法，是基于高分辨率双曲Radon变换。我们制定的自动速度分析问题作为一个约束优化问题。为了解决速度谱的稀疏性和分布的硬约束的优化问题，我们放松到一个更熟悉的L1正则化优化问题的两个步骤。我们使用迭代预条件最小二乘方法来解决L1正则化问题，然后我们在迭代反演过程中施加目标优化的硬约束。使用合成和现场数据的例子，我们确定我们的算法的成功性能。
Velocity analysis is crucial in reflection seismic data processing and imaging. Velocity picking is widely used in the industry for building the initial velocity model. When the size of the seismic data becomes extremely large, we cannot afford the corresponding human endeavor that is required by the velocity picking. In such situations, an automatic velocity-picking algorithm is highly demanded. We have developed a novel automatic velocity-analysis algorithm that is based on the high-resolution hyperbolic Radon transform. We formulate the automatic velocity-analysis problem as a constrained optimization problem. To solve the optimization problem with a hard constraint on the sparsity and distribution of the velocity spectrum, we relax it to a more familiar L1-regularized optimization problem in two steps. We use the iterative preconditioned least-squares method to solve the L1-regularized problem, and then we apply the hard constraint of the target optimization during the iterative inversion. Using synthetic and field-data examples, we determine the successful performance of our algorithm.