利用三维地震资料预测煤层气富集区域
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摘要
煤层气是赋存在煤层中的烃类气体,是煤的伴生矿产资源。在三维地震野外采集中保证质量,在资料处理上选用方法科学,并对工区的地质构造情况进行深入了解,这样能够更有效地提高煤层气富集区的预测精度。目前,利用三维地震资料预测煤层气富集区的主要方法有:基于双相介质理论预测煤层气富集区和利用地震属性技术探测煤层气富集区。将这两项技术相结合,能够更准确地指导煤层气开发阶段的井位布置,也可用于确定瓦斯地质研究的靶区,为矿方提供可靠的地质成果。
Coal bed methane is the hydrocarbon occurrence in the coal seam gas,are the associated minerals of coal resources.Quality assurance in the 3 D seismic field acquisition,scientific selection method on data processing,and the work area of the geological structure situation in-depth understanding,so can more effectively improve coal bed methane enrichment zone prediction accuracy.At present,the use of 3 D seismic data to predict coal bed methane enrichment zone main methods is: based on prediction of coal bed methane enrichment zone two-phase medium theory and using seismic attribute technology to detect enrichment zone CBM.Combining these two technologies,which can more accurately guide the location arrangement of CBM development phase,can also be used to determine the target zone of gas geology research,for mine to provide reliable geological results.
Coal bed methane is the hydrocarbon occurrence in the coal seam gas,are the associated minerals of coal resources.Quality assurance in the 3 D seismic field acquisition,scientific selection method on data processing,and the work area of the geological structure situation in-depth understanding,so can more effectively improve coal bed methane enrichment zone prediction accuracy.At present,the use of 3 D seismic data to predict coal bed methane enrichment zone main methods is: based on prediction of coal bed methane enrichment zone two-phase medium theory and using seismic attribute technology to detect enrichment zone CBM.Combining these two technologies,which can more accurately guide the location arrangement of CBM development phase,can also be used to determine the target zone of gas geology research,for mine to provide reliable geological results.
引文
[1]杨双安,张会星.三维地震资料预测瓦斯富集区的应用[J].煤炭科学技术,2009,37(8):108-110.
[2]刘最亮,张少青.利用地震属性划分瓦斯富集带[J].中国煤炭地质,2011,23(7):52-55.
[2]刘最亮,张少青.利用地震属性划分瓦斯富集带[J].中国煤炭地质,2011,23(7):52-55.
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