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基于耦合马尔科夫链的砂岩型铀矿岩性模拟

王心雨 周万蓬 孙远强 王龙辉 孙雨鑫 金鑫裕

铀矿地质2024,Vol.40Issue(3):488-496,9.
铀矿地质2024,Vol.40Issue(3):488-496,9.DOI:10.3969/j.issn.1000-0658.2024.40.043

基于耦合马尔科夫链的砂岩型铀矿岩性模拟

Lithology Simulation of Sandstone-type Uranium Deposit Based on Coupled Markov Chain

王心雨 1周万蓬 2孙远强 3王龙辉 4孙雨鑫 3金鑫裕3

作者信息

  • 1. 东华理工大学 核资源与环境国家重点实验室,江西 南昌 330013||核工业北京地质研究院,北京 100029
  • 2. 东华理工大学 核资源与环境国家重点实验室,江西 南昌 330013
  • 3. 核工业北京地质研究院,北京 100029
  • 4. 核工业二〇八大队,内蒙古 包头 014000
  • 折叠

摘要

Abstract

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.

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

Key words

coupled Markov chains/sandstone-type uranium deposit/coupling strength coefficient/lithology simulation

分类

天文与地球科学

引用本文复制引用

王心雨,周万蓬,孙远强,王龙辉,孙雨鑫,金鑫裕..基于耦合马尔科夫链的砂岩型铀矿岩性模拟[J].铀矿地质,2024,40(3):488-496,9.

基金项目

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)和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. (编号:地SD04-03)

铀矿地质

OACSTPCD

1000-0658

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