多重关联分析与铀资源预测

Multiple correlation analysis and the assessment of uranium resources

在进行矿产资源预测时,经常遇到在已知矿床或已知含矿单元稀少的情况下如何进行预测的问题。针对这种情况,作者提出了“多重关联分析”对铀矿资源进行预测的新方法。该方法解决了如何更合理地选择对成矿有利的地质变量建立预测模型这一关键问题。将该方法应用于所预测地区的结果表明,多重关联分析铀矿资源预测方法不仅能胜任,而且保证了较好的可靠性和精度。在传统预测方法无能为力的情况下,该方法具有较好的可行性、实用性。

In the progress of resources assessment, the problem how to do the assessment is often met with the instance that known deposits or known ore-bearing units are rare. To solve the problem, the paper introduces the new multiple correlation analysis in the resources assessment of uranium. The new method has solved the key problem how to select the geological variables which are favourable for mineralization to establish the assessment model. The application result of this method shows that it is not only competent to explore uranium, but also pledges better reliability and precision. In the instance that the traditional methods are helpless, the method is better in feasibility and practicality.