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东胜煤田北部地段3D煤层模型的动态构建及不确定性评估
引用本文:李章林,吴冲龙,张夏林,翁正平,刘刚,邵玉祥.东胜煤田北部地段3D煤层模型的动态构建及不确定性评估[J].地球科学,2014,39(10):1398-1406.
作者姓名:李章林  吴冲龙  张夏林  翁正平  刘刚  邵玉祥
作者单位:中国地质大学计算机学院, 湖北武汉 430074
基金项目:国家青年自然科学基金项目(Nos.41202231,40802082);中央地质勘查基金项目(No.2007150001-2007150006)
摘    要:以内蒙古东胜煤田北部艾来五库沟-台吉召地段勘查区为例,针对三维地质建模方法在多源多类地质数据应用、动态建模及建模结果不确定性评估等方面存在的不足进行研究,并实现了煤层三维建模.煤层三维建模要领是:先按照数据的内在逻辑关系和几何结构两个层次进行数据融合处理,将钻孔、剖面及断层等数据转化为形式简单、结构一致的离散化样品数据;再以这些数据和各类边界线为基础,通过距离幂次反比(inverse distance weighting,IDW)法插值得到煤层顶底板高程,并结合这些属性值和TIN(triangulated irregular network)剖分技术动态生成煤层结构模型;然后利用一个与煤层顶底板高程估值结果相对应的算子——插值方差,完成对煤层模型的局部不确定性评估.详细讨论了煤层三维建模的整体流程并基于三维地学信息系统平台QuantyView加以实现.实际应用结果表明,所提方法具有显著的实际应用价值. 

关 键 词:煤层建模    东胜煤田    不确定性分析    距离幂次反比    插值方差    信息处理
收稿时间:2014-02-09

Dynamic Construction and Uncertainty Assessment for 3D Coal-Seam Models in Northern Dongsheng Coalfield
Abstract:This paper explores three issues related with the current coal-seam modeling, namely, integration of multi-source geological data, dynamic modeling and uncertainty assessment for the modeling results by studying 3D coal-seam modeling of five prospect areas from Ailaiwukugou to Taijizhao located in northern Dongsheng coalfield in Inner Mongolia. Firstly, data integration is carried out according to its inherent logic and outer geometrical relationship. The former translates data into sections or profiles, and the latter further converts them into a uniform simple format, which is called uniform discretized samples. Secondly, based on these samples and boundary lines, inverse distance weighting (IDW) method is employed to evaluate the height of both top and base floor of coal layer and then 3D coal models are dynamically built according to these attribute values by triangulated irregular network (TIN). Thirdly, interpolation variance, an alternative uncertainty measurement for IDW estimates, is applied to assess uncertainty of the resulting 3D coal-seam models. Finally, the whole modeling workflow is discussed in detail and implemented based upon a 3D geo-information system named QuantyView. In the application in our study area, the proposed method works well in dynamically modeling the coal layers and their uncertainties in multi-source geological data environment, which shows that it is practical and feasible for 3D modeling in other coalfields. 
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