密闭取样瓦斯损失量计算方法构建及辅助计算软件开发

Method for calculating the amount of gas loss from confined sampling and its software development

  • 摘要: 远距离长钻孔密闭取样技术广泛应用于瓦斯区域治理,为准确计算取样过程中的瓦斯损失量,对井下密闭取样瓦斯解吸进程及规律进行分析。基于孙重旭式模型构建损失量计算新方法,并利用C语言和MySQL数据库开发瓦斯损失量辅助计算软件。研究结果表明,采用新方法和辅助软件计算得到密闭取样过程中瓦斯损失量平均占瓦斯含量的13.15%;与传统“孔口接粉”取样方式相比,密闭取样对应的煤层瓦斯含量测定结果提高4.04% ~6.58%;提出的新计算方法及辅助计算软件可以更准确、更便捷地计算瓦斯损失量,大幅提高瓦斯含量测定准确性,满足远距离长钻孔密闭取样对瓦斯含量精确测定的工程需求。

     

    Abstract: Coal seam gas content is a fundamental parameter in the evaluation and development of coalbed methane resources, prediction of coal seam gas protrusion risk as well as prevention and control of gas disasters. At present, long-distance and long-drilling confined sampling is widely used in gas area management. This study analyzed the desorption process and patterns of underground confined sampling gas in order to calculate the amount of gas loss during the sampling process. We proposed a novel method of loss calculation based on Sun Chongxu's formula, and developed an auxiliary software for calculating the amount of loss of gas by using the C# language and MySQL database. Results show that the average loss of gas sampled from confined sampling obtained by the new method and auxiliary software accounted for 13.15% of the gas content. The gas content measurement in the coal seam yielded results that were 4.04-6.58% higher than that of the traditional sampling method of 'catching powder at the mouth of the hole'. This method and the auxiliary calculation software could calculate the amount of gas loss from sampling, thus improving the accuracy of gas content determination, and meeting the engineering demand in long-distance and long-drillhole confined sampling.

     

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