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机构地区:[1]安徽理工大学土木建筑学院,安徽淮南232001 [2]中国科学院武汉岩土力学研究所岩土力学与工程国家重点实验室,武汉430071
出 处:《岩土力学》2012年第4期1223-1226,1239,共5页Rock and Soil Mechanics
摘 要:钻孔数据是三维地层建模的主要数据来源之一,在三维地层建模中,地层界面一般基于钻孔数据插值而成,正确处理钻孔数据是构建理想三维地层模型的前提和基础。三维地层拓扑关系极其复杂,地层界面插值数据在数学上选择也不是惟一的,因此,常导致构建地层模型出现与事实相悖的情形。针对这一点,根据地层地质演变历史,建立地层层序序列,此序列记录地层地质年代顺序及其拓扑关系。根据地层地质特征,可将地层拓扑关系概化为两类:"覆盖"和"侵蚀"。据此地层层序序列可惟一确定地层界面插值数据,从而构建正确地层模型。采用python语言实现了该钻孔数据预处理算法,实例表明,该预处理方案能正确地预测实际地层。Drilling data is one of main sources for building 3D strata model. Usually the stratigraphic interfaces are constructed by interpolation based on drilling data. Processing drilling data accurately is the basic premise of building realistic 3D strata model. Because the option of the interpolation data of the stratigraphic interfaces is not unique mathematically, the complex topological relationships of the strata usually result in the condition that the building 3D strata model is not realistic. In order to gain unique and realistic interpolation data, a stratigraphic column, which records the chronological order of the strata and their topological relationships, is defined in accordance with geological history. The topological relationships of the strata are generalized into two classes: either 'onlap' or 'erosion'. According to the stratigraphic column, the unique interpolation data of the stratigraphic interfaces can be determined and then be used to build realistic 3D strata model. Python is used to implement the algorithm of the preprocessing of drill data. The examples prove that the project can validly forecast realistic strata.
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