基于频谱分解的陷落柱识别技术的应用

Application of collapse column identification technology based on spectral decomposition

为解决煤田陷落柱难以识别的问题,以邢东矿1200勘探区揭露的X7陷落柱为研究对象,综合利用地震、测井及现场揭露等多种基础资料及综合地质研究成果,基于频谱分解技术,定性解释了X7陷落柱在地震剖面的几何分布。结果表明,在识别陷落柱时频谱分解技术优于常规地震属性技术,其方法可靠、有效,为其他区域内复杂地质体定性预测提供了技术依据。

In order to solve the identification problem of coal field collapse columns, the collapse column X7 exposed in exploration area 1200 of Xingdong Mine was taken as research object, the basic information from seismic exploration, logging, site disclosure and comprehensive geological research results were integrally used. Based on advanced spectral decomposition technology, the spatial distribution of the collapse column X7 was estimated on seismic attribute profiles. Application study in Xingdong area showed that spectral decomposition technology is superior to the conventional seismic attribute analysis method for collapse recognition. Spectral decomposition is reliable and effective, and provides a basic tool for prediction of complex geological body in other areas.