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体积模型非线性算法预测煤层原煤灰分的分析研究
引用本文:刘天成.体积模型非线性算法预测煤层原煤灰分的分析研究[J].物探与化探,1988,12(4):272-280.
作者姓名:刘天成
作者单位:地矿部测井方法技术中心
摘    要:煤层原煤灰分的分析研究是煤田数字测井定量解释极其重要的内容。本文用体积模型非线性算法,于山西河东煤田沙坪1#露勘区和河南永城煤田城郊井田两个地区,预测中高阻煤层原煤灰分,获得均方差分别为2.65%和1.78%的好结果。


A DISCUSSION ON PROGNOSIS OF ASH CONTENTOF CRUDE FUEL IN COAL SEAMS BY MEANSOF VOLUME MODEL NONLINEAR COMPUTATION
Institution:Center of Logging Techniques Ministry of Geology and Mineral Resources
Abstract:The study on ash content of crude fuel in coal seams seems to be extre mely important in quantitative interpretation of digital logging in the coalfield. In this paper, the volume model nonlinear computation is used to predict ash content of crude fuel in coal seams with medium-high resistance in No. 1 Shaping opencut coal mine of the Hedong coal field in Shanxi province and the suburban mine field of the Yongcheng coal field in Henan province, with the mean square error being respectively 2.65% and 1.78%.
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