马尔科夫链-熵分析在环境分析中的应用

APPLICATION OF MARKOV CHAINS-ENTROPY TO ANALYSIS OF DEPOSITIONAL ENVIRONMENTS

本文系统地全面地论述了马尔柯夫链-熵分析在平朔露天矿安家岭勘探区上石炭统太原组含煤岩系的环境分析中的应用概况。通过转移概率矩阵、极限概率矩阵、代换矩阵及熵值的计算和赋以明确的地质含义,论证了含煤岩系由下而上、由粗—细—粗的岩性变化序列构成了一般的对称旋回模式;提出了含煤地层属于三角洲平原相滨海沼泽成煤环境的认识;进行了岩层变异性及旋回明显程度的定量化方面的探讨;由熵分析,着重说明了地层序列中状态之间的组合关系,进行垂向变化规律的预测。研究结果表明,马尔柯夫链综合分析是进行含煤地层沉积序列环境分析的有效方法。

The paper systematically and comprehensively discussed application of Markov chains-entropy to analysis of depositional environments of the upper Carboniferous series Taiyuan Formation in Anjialing, Pingshuo open-cast mine, Shanxi. Definite geological meanings were given respectively to calculated values of transition probability matrix, extremity probability matrix, substitution matrix and the entropy. The lithologic successions of coarse-fine-coarse grained layers from bottom upwards in the coal-bearing series made up the general symmetric cyclic patterns. It was suggested that the coal-bearing strata deposited in the coal-form-ing environment in delta plain-littoral swamps. Quantitative study of cyclic visibility and variation of formation was conducted. The assemblage relation among stratigraphic sequences and the significance of predicting vertical change were emphasized. Results of study showed that overall analysis of Markov chains was an effective method for analysis of depositional environmnts of coal-bearing strata.