沉积序列的马尔柯夫性分析

Markov Property Analysis of Sedimentary Succession

运用马尔柯夫链随机性教学模型对研究区陆表海盆地沉积序列特性进行了分析研究。通过多步转移概率矩阵和固定向量计算,从定量的角度说明了研究区内部分钻井剖面陆表海沉积在垂向上演化的规律性及反映在横向上的古环境差异性。设想运用固定向量中的极限概率代替以往的岩性比率作岩比图更加合理有意义。在资料充足的条件下,可据此作古地理图。

The feature of the sedimentary succession of the epicontinental sea basin in the study area was analyzed by means of the stochastic math model, Markov chain. Calculation of transition probability matrix and fixed vector of the well profiles in the area shows, from a quantitative point of view, the vertical evolution law of the sedimentary series and the transversal environmental difference. The authors inferred that it is more reasonable to make lithology ratio graphics with the limiting probability in the fixed vector than with the lithology ratio only. And the paleogeographic map could be reached on condition that enough data are available.