煤层含气量预测方法

A METHOD FOR PREDICTION OF GAS CONTENT IN COAL SEAMS

  • 摘要: 含气量是进行煤层气资源计算与选区评价的关键。在有效含气量数据太少,不能满足研究工作需要的情况下,根据少量实测含气量数据和煤的等温吸附曲线、储层压力梯度、煤的水分、灰分数据,预测未知区煤层气量,是一种行之有效的方法。实践证明,预测含气量数据与实测含气量数据比较接近,能保证资源量计算及资源评价结果的可靠性。

     

    Abstract: The gas content is a critical parameter in resource calculation,and target selection and evaluation of coalbed methane.In the cases that the effective data of gas content are too few to meet the needs of research,it is an effective method for predict the gas content of coal seam in unknown area based on a few of measured gas content data,isothermal adsorption curves,reservoir pressure gradient,and moisture and ash yield data.The practice proves that the predicted gas content data are relatively close to the measured ones,ensuring the reliability of the results of resources calculation and evaluation.

     

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