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初步建立全国范围的瓦斯地质相关信息的大数据库,包含10类信息表格,每类表格包括6-9种信息。以预测贵州省水城矿区大河边向斜全区域瓦斯含量为例,通过对瓦斯含量预测相关的所有可能数据,比如瓦斯含量、瓦斯压力、瓦斯涌出量、构造复杂程度、煤层透气性、甚至机电设备等相关性信息进行类比分析,选取最优化的模型,结果表明大数据思维为瓦斯地质分析方法提供新的可行性思路。
Preliminary establishment of a large database of nationwide gas and geological information, including 10 types of information tables, each type of table includes 6-9 kinds of information. Taking the prediction of the gas content in the entire Dahendian syncline in the Shuicheng mining area of Guizhou Province as an example, all possible data related to the gas content prediction, such as gas content, gas pressure, gas emission, structural complexity, permeability of the coal seam, Mechanical and electrical equipment and other related information for analog analysis, select the optimal model, the results show that big data thinking for the gas geological analysis method provides a new idea of feasibility.