摘要
曙光煤矿煤层多为薄煤层,利用地震数据常规反演技术预测开采区域煤层厚度的分辨能力有限,远低于煤层开采的需要。引入基于MCMC算法的地质统计学反演技术对曙光煤矿采区内薄煤层进行厚度预测。预测结果与常规解释结果进行对比,并利用已有钻孔资料进行验证,发现该方法的分辨率可达到1 m,对煤层厚度、煤中夹矸厚度的预测误差分别控制在0.5、0.1 m以内。有效解决了曙光煤矿薄煤层预测问题。
The thickness of coal in Shuguang Coal Mine is mostly thin. The resolution of conventional seismic data inversion technique used to predict thin coal in mining areas is limited and far lower than the needs of coal mining. The geostatistical inversion technique based on MCMC algorithm is introduced to predict the thickness of thin coal in Shuguang Coal Mine. The prediction results are compared with the conventional interpretation results, and the existing drilling data is used to verify those results. It is found that the resolution of the prediction results can reach about 1 m. The prediction errors of the thickness of the coal and dirt band are controlled within 0.5 m and 0.1 m, respectively. It effectively solves the problem of thin coal’s thickness prediction in Shuguang Coal Mine.
作者
李帅
徐常青
崔凡
原炯轩
白洁玢
赵煜轩
周莹庆
董华盛
LI Shuai;XU Changqing;CUI Fan;YUAN Jiongxuan;BAI Jiebin;ZHAO Yuxuan;ZHOU Yingqing;DONG Huasheng(College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China;Shuguang Coal Mine of Fenxi Coal Mine Group,Lyuliang 033000,China;State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology,Beijing 100083,China)
出处
《煤矿安全》
CAS
北大核心
2020年第1期161-165,共5页
Safety in Coal Mines
基金
神华集团煤炭开采水资源保护与利用国家重点实验室开放基金资助项目(SHJT-16-30.18)
国家自然科学基金青年科学基金资助项目(41602364)
中国矿业大学(北京)大学生创新训练资助项目(C201802768)
