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NONUNIQUENESS IN TRAVELTIME TOMOGRAPHY - ENSEMBLE INFERENCE AND CLUSTER ANALYSIS

机译:行车断层摄影中的非唯一性-归纳推理与聚类分析。

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We examine the nonlinear aspects of seismic traveltime tomography. This is accomplished by completing an extensive set of conjugate gradient inversions on a parallel virtual machine, with each initiated by a different starting model. The goal is an exploratory analysis of a set of conjugate gradient solutions to the traveltime tomography problem. We find that distinct local minima are generated when prior constraints are imposed on traveltime tomographic inverse problems. Methods from cluster analysis determine the number and location of the isolated solutions to the traveltime tomography problem. We apply the cluster analysis techniques to a cross-borehole traveltime data set gathered at the Gypsy Pilot Site in Pawnee County, Oklahoma. We find that the 1075 final models, satisfying the traveltime data and a model norm penalty, form up to 61 separate solutions. All solutions appear to contain a Central low velocity zone bounded above and below by higher velocity layers. Such a structure agrees with well-logs, hydrological well tests, and a previous seismic inversion. [References: 31]
机译:我们研究了地震旅行时间层析成像的非线性方面。这是通过在并行虚拟机上完成一组广泛的共轭梯度反转来完成的,每个共轭梯度反转均由不同的起始模型启动。目的是对行进时间层析成像问题的一组共轭梯度解进行探索性分析。我们发现,当对旅行时间断层摄影反问题施加先验约束时,会生成不同的局部最小值。聚类分析的方法确定了行进时间层析成像问题的孤立解决方案的数量和位置。我们将聚类分析技术应用于在俄克拉荷马州波尼县吉普赛试验场收集的跨孔旅行时间数据集。我们发现1075个最终模型满足旅行时间数据和模型标准惩罚,形成多达61个单独的解决方案。所有解决方案似乎都包含一个中央低速区,该低速区在较高和较低的层上下限界。这种结构与测井,水文测井和先前的地震反演相吻合。 [参考:31]

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