Fluctuation Analysis to Sequence of Ore-forming Element Based on Fractal-Jump Model
Fluctuation Analysis to Sequence of Ore-forming Element Based on Fractal-Jump Model
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基于分形跳跃模型的成矿元素序列涨落分析
DOI：
10.11648/j.ijdst.20190501.14
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发表时间：
2019-05
期刊：
影响因子：
--
通讯作者：
Zeng Xiangjian
中科院分区：
文献类型：
--
作者：
Lai Simin;Wan Li;Zeng Xiangjian
成矿元素的自相似性是地质过程中突发性异常波动和长期多期特征共同作用的结果。本文建立了分数阶布朗运动与泊松分布跳变相结合的分形跳变模型，描述了胶东大营二庄金矿3种不同成矿强度下成矿元素的波动模式，模拟了金的层序分布。通过计算拟合误差，绘制模拟数据与实际数据的对比图，验证了模型的适用性和优越性。结果表明，分形跳跃模型是一种可靠的、计算效率高的方法。该模型能较好地描述Au元素含量序列的变化，且矿化强度越高，模拟效果越好。本工作为隐伏矿体矿化水平预测提供了新的认识。
The self-similarity of ore-forming elements is caused by long-term, multi-period characteristics and the abnormal fluctuation induced by emergency in geological process. In this study, the fractal jump model referred as a combination of fractional Brownian motion and Poisson distributed jumps was built to depict the fluctuation pattern of ore-forming elements and simulate the distribution of Au sequence for three different mineralization intensities in Dayingezhuang gold deposit in the Jiaodong gold province, China. By calculating the fitting error and drawing the comparison diagram between the simulated data and the actual data, the applicability and advantages of the model were verified. The results showed that the fractal jump model can be considered as a reliable and computationally efficient method through the comparison of the statistical characteristics between simulated and real data. In addition, this model can well depict the change of the Au element content sequence, and better simulation was achieved when the intensity of mineralization was higher. The present work provides a new insight on the prediction of mineralized levels in concealed orebody.
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影响因子：
5
作者：
Zhi-Yong Zhu;Shaoyong Jiang;R. Mathur;N. Cook;Tao Yang;Meng-Long Wang;Liang Ma;C. Ciobanu
通讯作者：
Zhi-Yong Zhu;Shaoyong Jiang;R. Mathur;N. Cook;Tao Yang;Meng-Long Wang;Liang Ma;C. Ciobanu
DOI：
10.1007/s11430-013-4706-2
发表时间：
2014-01
期刊：
Science China Earth Sciences
影响因子：
--
作者：
J. Xue;Sheng‐Rong Li;Wen Sun;YunQiang Zhang;Xu Zhang
通讯作者：
J. Xue;Sheng‐Rong Li;Wen Sun;YunQiang Zhang;Xu Zhang
影响因子：
2.8
作者：
L. Wan;Y. Q. Zhu;X. Deng
通讯作者：
L. Wan;Y. Q. Zhu;X. Deng
DOI：
--
发表时间：
2011
期刊：
Geology and Exploration
影响因子：
--
作者：
Liu Chuan
通讯作者：
Liu Chuan
影响因子：
1
作者：
Y. Achdou;O. Pironneau
通讯作者：
Y. Achdou;O. Pironneau