基于高密度三维地震数据属性分析的煤层构造预测  

作　　者：程龙艺 朱建刚 

机构地区：[1]安徽恒源煤电股份有限公司钱营孜煤矿,安徽宿州234000 [2]中煤科工西安研究院(集团)有限公司,西安710077

出　　处：《科技创新与应用》2024年第24期90-93,共4页Technology Innovation and Application

基　　金：国家自然科学基金(42074175)。

摘　　要：华东矿区煤层发育多,且构造复杂,对解释精度要求高,常规窄方位地震勘探数据解释,已无法保证煤层异常体的解释精度。针对这一问题,以高密度三维地震数据为基础,采用多属性分析技术,对地质异常体进行综合解释与刻画。研究表明,基于高密度数据基础的多属性联合解释技术,能够有效佐证解释成果的可靠性,对异常体在煤层的展布情况刻画更精确详细,显著提高煤层异常体的预测,为今后在同地区的地震勘探提供指导意义。There are many coal seams in East China mining area,and the structure is complex,which requires high interpretation accuracy.Conventional narrow azimuth seismic exploration data interpretation has been unable to guarantee the interpretation accuracy of coal seam abnormal bodies.In order to solve this problem,based on the high-density 3D seismic data,the multi-attribute analysis technique is used to comprehensively interpret and depict the geological abnormal body.The study shows that the multi-attribute joint interpretation technology based on high-density data can effectively prove the reliability of the interpretation results,describe the distribution of abnormal bodies in coal seams more accurately and in detail,and significantly improve the prediction of abnormal bodies in coal seams.It will provide guidance for future seismic exploration in the same area.

关 键 词：异常体 全数字高密度 三维地震数据 多属性 煤层构造 

分 类 号：TD163[矿业工程—矿山地质测量]