【摘要】：通過大量取心井資料的統(tǒng)計分析,建立了高煤階煤巖的測井多參數(shù)識別標準,并采用灰色關聯(lián)法定量解釋煤巖的類型,不受人為因素影響,準確率高。高煤階煤巖的密度與工業(yè)組分含量之間關系密切,把測井多元回歸模型和等效體積模型結合,計算出了煤巖的密度和孔隙度,并在此基礎上計算出煤巖各工業(yè)組分的含量。該方法是在大量實驗數(shù)據(jù)基礎上,把理論模型與實際統(tǒng)計模型結合建立起來的方法,其結果比較可靠,并且在實際操作中可行。
[Abstract]:Based on the statistical analysis of a large number of coring well data, a multi-parameter identification standard for logging of high-rank coal and rock is established, and the grey correlation method is used to interpret the type of coal and rock, which is independent of human factors and has high accuracy. The density of high-rank coal and rock is closely related to the content of industrial components. The density and porosity of coal and rock are calculated by combining the multivariate regression model of logging with the equivalent volume model, and the contents of each industrial component of coal and rock are calculated on this basis. The method is based on a large number of experimental data and combines the theoretical model with the practical statistical model. The results are reliable and feasible in practice.
【作者單位】： 燕山大學石油工程系;貴州省天然氣能源投資股份有限公司;
【基金】：國家科技重大專項(2011ZX05038-001) 河北省自然科學基金資助項目(D2016203253) 河北省教育廳科學研究項目資助(QN2014048)
【分類號】：P618.13;P631.81

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