摘要
为了更好地服务于砂岩型铀矿的找矿和开采,人们开始寻找能够揭露隐伏地质情况的方法,近年来,岩性模拟被越来越多的学者所关注。结合前人的研究,文章提出了一种基于耦合强度系数的改进耦合马尔科夫链模型岩性模拟的方法。基于砂岩型铀矿成矿原理,通过调节马尔科夫链模型耦合过程中的耦合强度系数,使模拟结果更接近真实地层状态。选取鄂尔多斯盆地塔然高勒矿床为例,应用改进的耦合马尔科夫链模型还原了研究区的部分地层岩性,验证该方法的可行性。结果显示,该方法不仅可以精确地模拟地层岩性的真实性,并且在一定程度上解决了以往方法对钻孔数量过度依赖的问题。
In recent years,methods of revealing the hidden geological conditions has been searched to better serve the prospecting and mining of sandstone type uranium deposits,so more and more scholars pay attention to lithology simulation.In lithology simulation,how to make the lithology simulation results closer to the formation authenticity has been an urgent challenge for scholars at home and abroad.In the continuous research of lithology simulation methods,coupled Markov chain model has been gradually applied to lithology simulation because of its advantages of more accurate simulation results and more real simulated rock direction.Based on the previous studies,this paper introduced an improved coupling Markov chain model lithology simulation method by coupling strength coefficient,and verified that this method can be used for lithology simulation in sandstone type uranium deposits with a case study of Tarangol area.The results showed that this method can not only accurately simulate the authenticity of formation lithology,but also solve the problem of over-dependence on the number of boreholes in the previous methods to a certain extent.
作者
王心雨
周万蓬
孙远强
王龙辉
孙雨鑫
金鑫裕
WANG Xinyu;ZHOU Wanpeng;SUN Yuanqiang;WANG Longhui;SUN Yuxin;JIN Xinyu(Key Laboratory of Nuclear Resources and Environment,Ministry of Education,East China Institute of Technology,Nanchang,Jiangxi 330013,China;Beijing Research Institute of Uranium Geology,Beijing 100029,China;Geologic Party No.208,CNNC,Baotou,Inner Mongolia 014010,China)
出处
《铀矿地质》
CAS
CSCD
2024年第3期488-496,共9页
Uranium Geology
基金
中核集团集中研发项目“基于大数据的砂岩型铀矿三维预测技术研究”(编号:地SD04-03)
国家重点基础研究发展计划(973计划)“松辽盆地北部重要铀成矿区三维地质建模与勘探应用”(编号:DD20190121-10(2))联合资助。
关键词
耦合马尔科夫链
砂岩型铀矿
耦合强度系数
岩性模拟
coupled Markov chains
sandstone-type uranium deposit
coupling strength coefficient
lithology simulation