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VOLUME ROAMING AND VOLUME VISUALIZATION OF LARGE 3D SEISMIC DATASETS

机译:大型3D地震数据集的体积漫游和体积可视化

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摘要

Use of volume visualization has gone hand in hand with improvements in computer hardware. Desktop visualization workstations are now typically configured with 2, 4 or even 8 GB of RAM. The larger visualization systems are configured with up to 16GB of RAM. Today we are seeing 100GB (8-bit) sized data sets equivalent to areas greater than 10,000 km2. However, effective volume visualization requires that the 3D data set be completely resident in computer RAM. This leaves us with the problem of how to visualize large 3D datasets? One solution has been to reduce volume size through decimation. Through decimation not all seismic information is used. Decimation results in a loss of resolution, which might result in key visualization targets being missed or misinterpreted. New visualization methods using volume roaming allows navigation through entire un-decimated 80 to 100 GB 3D datasets by accessing bricks or blocks of data directly from disk and placing the data in cache memory for temporary viewing. Data need to be stored in an efficient format for rapid access by the volume roaming application. Volume roaming speed is comparable to volume visualization speed in terms of panning through and accessing seismic data sets but with the added benefit of immediate access to the entire un-decimated 3D data set. Areas of interest are identified during volume roaming and are subsequently sub-setted from the main volume so they can fit into computer RAM and be analyzed using un-decimated volume-based visualization techniques.
机译:体积可视化的使用与计算机硬件的改进齐头并进。现在,桌面可视化工作站通常配置有2、4甚至8 GB的RAM。较大的可视化系统配置有高达16GB的RAM。今天,我们看到100GB(8位)大小的数据集相当于10,000 km2以上的区域。但是,有效的体积可视化要求3D数据集完全驻留在计算机RAM中。这给我们带来了如何可视化大型3D数据集的问题?一种解决方案是通过抽取来减小体积大小。通过抽取,并非所有地震信息都被使用。抽取会导致分辨率降低,这可能会导致错过或误解关键的可视化目标。使用卷漫游的新可视化方法可通过直接从磁盘访问数据块或数据块并将数据放置在缓存中以供临时查看,从而浏览整个未抽取的80至100 GB 3D数据集。数据需要以有效的格式存储,以便卷漫游应用程序快速访问。在漫游和访问地震数据集方面,体漫游速度可与体可视化速度媲美,但具有立即访问整个未抽取3D数据集的额外好处。在卷漫游过程中可以识别感兴趣的区域,然后从主卷中对其进行子设置,以便可以将其放入计算机RAM中,并使用未抽取的基于卷的可视化技术进行分析。

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