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摘要
This study was performed in order to establish new parameters to recognize the depositional microfacies using grain size distribution (GSD) data from laser diffraction analysis. A total of 938 samples were collected from five sedimentary microfacies, and 18 characteristic parameters of these samples were developed by statistical analysis, fractal theory, fingerprint methods, and variogram function. The samples were divided into a training data set and testing data set. The training data set was used to establish a discriminative database with five depositional microfacies; the testing data set was used to verify whether these characteristic parameters can identify their depositional microfacies according to the discriminative database. Out of the 50 samples in the testing data set, 47 samples were correctly recognized within their depositional environment and only three samples of point bar were shared with natural levee using the random forest (RF) method. The analysis results indicate the fine grain size and general characteristic of GSD have more significant influences on depositional environment classification than other parameters. The flood plain and fan- between depression environments had the most similar hydrodynamic conditions among the five considered depositional microfacies. Therefore, the 18 characteristic parameters of GSD are useful tools to identify depositional microfacies for hydrogeological parameter studies.
- 出版日期2017-3
- 单位中国地质科学院水文地质环境地质研究所
