三维地震数据体多分辨率数据组织与管理技术研究
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摘要
针对海量三维地震数据体可视化实时性存在的问题,提出了采用基于扩展八叉树数据结构的分块多层多分辨率模型。通过对海量地震数据的分块处理,建立了与数据对应的八叉树层次结构,实现了在PC机上大规模地震数据体的三维可视化显示。在海量地震数据组织方面,使用较为简便的编码方式,避免了在绘制过程中复杂的解码操作对实时性的影响以及编解码带来的误差。在海量地震数据管理方面,通过多分辨率建模,按分层的Z-Order顺序进行存储,在快速查询方面具有较高的效率,可以满足三维海量地震数据体可视化实时性的需要。
A method about Level of Detials(LOD) model on the basis of extended octree data structure is proposed for the real-time visualization of massive 3D seismic volume.The LOD model can brick massive 3D seismic volume and build octree level structure to realize 3D visualization of massive seismic data volume on PC.In mas- sive seismic data organizations relatively simple encoding is used to avoid the impact of complex decoding operation on the real-time visualization and encoding/decoding errors during 3D rendering.In massive seismic data management,multi-resolution modeling is used to store the data on each level according to the order of Z-Order, and the establishment of Morton code list has high efficiency for fast query,to meet the real-time needs of massive 3D seismic data volume visualization.
A method about Level of Detials(LOD) model on the basis of extended octree data structure is proposed for the real-time visualization of massive 3D seismic volume.The LOD model can brick massive 3D seismic volume and build octree level structure to realize 3D visualization of massive seismic data volume on PC.In mas- sive seismic data organizations relatively simple encoding is used to avoid the impact of complex decoding operation on the real-time visualization and encoding/decoding errors during 3D rendering.In massive seismic data management,multi-resolution modeling is used to store the data on each level according to the order of Z-Order, and the establishment of Morton code list has high efficiency for fast query,to meet the real-time needs of massive 3D seismic data volume visualization.
引文
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[2]Chambers H,Brown A L.3-D Visualization continues to advance integrated interpretation environment [J].First Break,2003,21(5):31-34
[3]Canning A,Litvin A,Eastwood L.3D visualisation of AVO anomalies[J].First Break,2000,18(4):138- 140
[4]杨强,魏嘉,段文超.基于三维可视化技术的地震多属性分析的实现[J].勘探地球物理进展,2007, 30(1):64-68
[5]Castanie L,Bosquet F,Levy B.Advances in seismic interpretation using new volume visualization techniques [J].First Break,2005,23(10):69-72
[6]Mahe I.Solving a problem involving geobody extraction [J].The Leading Edge,2007,26(1 ):22-23
[7]Hodgson P,Cunnell C,Krueger A,et al.Cluster visualization rises to the seismic processing challenge [J].First Break,2005,23(3):33-35
[8]Gray G.Observations of azimuthal anisotropy in prestack seismic data[J].Expanded Abstracts of CSPG & CSEG Convention,2007,373-377
[9]Molnar S,Cox M,Ellsworth D,et al.A sorting classification of parallel rendering.[J].IEEE Computer Graphics and Applications,1994,14(4):23-32
[10]Varadhan G,Manocha D.Out-of-core rendering of massive geometric environments[J].Proceedings of 13~(rd) IEEE Visualization,2002,69-76
[11]Guthe S,Wand M,Gonser J,et al.Interactive rendering of large volume data sets[J].Proceedings of 13~(rd) IEEE Visualization,2002,53-60
[12]Lindstrom P,Koller D,Ribarsky W,et al.Real-time, continuous level of detail rendering of height fields [M].Proceedings of the SIGGRAPH.New Orleans, USA:Addison Wesley Professional,1996:109-118
[13]Seo H,Thalmann A F.LOD management on animating face models[J].Proceedings Virtual Reality Annual International Symposium,2000,161-168
[14]童欣,唐圣泽.基于空间跳跃的三维纹理硬件体绘制算法[J].计算机学报,1998,21(9):807-812
[15]Boada I,Navazo I,Scopigno R.Multiresolution volume visualization with a texture-based octree[J]. The Visual Computer,2001,17(3):185-197
[16]Guthe S,Wand M,Gonser J,et al.Interactive rendering of large volume data sets[J].Proceedings of 13~(rd) IEEE Visualization,2002,104-115
[17]Schneider J,Westermann R.Compression domain volume rendering[J].Proceedings of the 14~(th) IEEE Visualization,2003,293-300
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