煤层显微序列数学模拟及其在煤储层物性评价中初步应用

应用马尔柯夫过程的原理和方法，建立起描述煤层形成过程或显微序列的数学模式，进而通过对研究实例中煤层结构以及煤岩分层孔比表面积的模式拟合，可以模拟出各种显微煤岩类型在煤层中的分布部位以及煤层中煤层甲烷的有利储存部位，对厚煤层物性和储气性能的非均质性特征作出预测，为煤层气开采地质条件评价提供了一条新的思路。

Micro-stratigraphical Model of Coal Seam and Its Application To Evaluation of Coal Reservoirs , Physical Property

Based on the principle and method of Markov Chain,the methematic model was established in order to describe the forming process and the micro sequence of coal seam,The following conclusions have been drawn:(1)The test values are far more greater than the citical points at different confidence levels,the microlithotype sequence of coal seam is fit to the Markov Process.(2)The statistic direction of the microlithotype sequence within each sublayer has hardly effiect on the analysis result.(3)The thickness of the main states will be increased and that of the secondary decreased during the simulation of microlithotype sequence. This thickness change will make the simulating microlithotype sequence simple and clear.(4)The location of each microlithotype for a case was defined through the model fitting to coal structure,so the heterogeneous characteristics of coalbed methance(CBM)were predicated.(5)The advantageous gas-storaging location in the coal seam can be forecasted by combining the anslysis of the specific surface area of pore and the gas-storaging capacities of the different macerals with the microlithotype sequence of coal seam.So a new insight to evaluation on geological conditions of CBM development has been given.