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矿体三维数据模型及品位插值方法研究 被引量:5

THREE-DIMENSIONAL DATA MODEL OF OREBODY AND GRADE INTERPOLATION METHOD STUDY
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摘要 传统的储量计算方法采用几何平均法计算矿体的体积,用部分化验数据的平均品位代替矿块的整体品位,其计算精度很难满足需要.以三维矿体模型为基础计算矿体体积能够提高体积计算精度,以空间插值技术对矿体任意空间位置的品位进行估值,有助于提高品位估值的精度.提出了一种适于矿体储量计算的混合数据模型(线框块段模型),详细论述了根据剖面数据生成矿体线框模型进而在线框模型基础上生成块段模型的方法.介绍了距离反比法和克立格法的原理,利用距离反比法结合某金矿体数据进行了储量估算,结果表明以线框块段模型为基础,采用空间插值技术计算矿体储量具有一定的实用价值。 Traditionally, the calculation of reserves usually adopts the geometrical average method to count orebody volume and uses the average grade of chemically analyzed samples to represent the whole grade of ore block. However, such calculation accuracy cannot satisfy the demand of production. The accuracy of volume calculation may be improved by the three-dimensional orebody model; while the accuracy of grade assessment can be improved by estimation for random location of orebody with space interpolation. This paper introduces a kind of hybrid data model (Wireframe-Block)suitable for orebody reserves calculation, which gains wireframe model from section data of orebody and then generates block model on the basis of the wireframe model. The reserves of a certain orebody is calculated by inverse distance method. The result shows that the calculation of orebody reserves with space interpolation based on Wireframe-Block is practical.
出处 《地质与资源》 CAS 2007年第3期222-225,共4页 Geology and Resources
基金 高等学校博士学科点专项科研基金(20050145032)
关键词 线框块段模型 插值方法 储量计算 wireframe-block model interpolation method reserves calculation
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