Rescaled Range Analysis and Mineralization Information Extraction

Rescaled range (R/S) analysis of random events is known as to reveal the persistent or antipersistent nature of the process, while the Hurst exponent is the key parameter to determine the level of antipersistent. With a set of data from Dayingezhuang Gold Deposit, Shandong Province, China, the Stochastic Process of Au element content sequences various with the drilling depth is studied by the rescaled range analysis (R/S) method. Results show that Hurst exponents of non-mineralized zone are smaller than those of mineralized zone. The Hurst exponents of mineralized zone are greater than 0.66, which means that the stochastic processes obey the fraction Brownian motion and have long-range dependence. These results can provide a theoretical support for the establishment of the regional metallogenic prediction model.