数字油田中海量影像数据组织研究

根据海量影像数据组织及编码原理,描述数字油田中基于四叉树的LOD影像数据的组织基本流程,将数据组织流程划分成服务端的预处理、投影变换、影像重采样、编码、切割、保存和客户端的据视点位置多分辨率浏览实现等两大部分.着重论述了影像数据组织流程中的投影变换与逆变换、海量影像数据编码与影像坐标范围计算以及基于视点位置的三维浏览等关键性问题,并以长庆油田丹7井区为例,详细描述了数字油田建设中影像数据组织及影像范围计算等实施过程.

Study on the organization of huge image data in digital oilfield

The construction of digital oilfield based on web and 3DGIS needs the support of the huge data of remote sensing image,DEM and vector.Among the data,the organization and internet publishing of remote sensing image data have become a problem that needs to be solved urgently.According to data organization and coding principle,the basic flow of the LOD image data organization based on quad-tree model in the digital oilfield is divided into two parts:the service end,including preprocessing,projection transformation,resample,coding,cutting and preservation,and the client end,including position determination of view point and implementation of multi-resolution browsing.Some key problems are emphatically discussed,including the projection transformation and inverse transformation in image data organization,the coding of huge image data,the calculation of coordinate range and the 3D browsing of view point.Finally,taking the well district of Dan7 in Changqing Oilfield as an example,the implementation process of image data organization and the calculation of image range in digital oilfield construction are described in detail.