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Domain-specific visualization system based on automatic multiseed recommendations: Extracting stratigraphic structures

机译:基于自动多种子建议的特定领域可视化系统:提取地层结构

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摘要

Underground flow path (UFP) is one of the most significant stratigraphic structures in revealing the distribution of oil or gas from seismic data. We design a domain-specific visualization system to extract the stratigraphic structures by seed point tracing and explore the seismic data by graph interactions. The seeds are automatically generated by kernel function-based density gradients computation. Users are allowed to adjust the recommended seeds by fine-tuning them with visual interactions. The seeds are further merged by a weighted quick-union algorithm to get the link information to construct a graph. Different types of nodes in the graph are designed to enable users to explore the extracted UFP structures intuitively. Finally, we evaluated the proposed approach by performance tests, sensitivity tests, and ground truth tests. The feedback from the domain experts demonstrates that the proposed visualization tool improved the capability of revealing the distribution and geostructures of UFPs compared with the existing methods.
机译:地下流动路径(UFP)是从地震数据揭示油气分布方面最重要的地层结构之一。我们设计了特定领域的可视化系统,以通过种子点跟踪提取地层结构,并通过图相互作用来探索地震数据。种子是通过基于内核函数的密度梯度计算自动生成的。允许用户通过视觉交互来微调推荐的种子。种子通过加权快速联合算法进一步合并,以获得链接信息以构建图。图中不同类型的节点旨在使用户能够直观地探索提取的UFP结构。最后,我们通过性能测试,敏感性测试和地面真实性测试对提议的方法进行了评估。领域专家的反馈表明,与现有方法相比,所提出的可视化工具提高了显示UFP分布和地理结构的能力。

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