石油与天然气地质 ›› 1987, Vol. 8 ›› Issue (3): 262-270.doi: 10.11743/ogg19870307
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李萍, 孙和平, 黄泽辉
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中国科学院科学基金
Li Ping, Sun Heping, Huang Zehui
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摘要:
本文通过对长江三角洲、滦河三角洲、南流江三角洲及钦州湾地区粒度资料的分析对比,认为粒度参数、C-M图、概率累积曲线和多变量分析,在沉积环境的判别中具较佳的效果。进而分别论述了多变量分析方法和概率累积曲线在判别环境中的不同作用及其局限性。
Abstract:
According to the study of the grain size in the Changjiang Delta, the Luanhe River Delta, the Nanliujiang Delta and Qinzhou Bay, following conclusions are obtained: 1. As far as our information goes, grain size parameters, C-M plots,probability cumulative curves and multivariate analysis can be important in studying depositional environments. 2. Multivariate analysis is a process in which large amount of grain size data are turned into dynamic classification, therefore the hydrodynamic conditions in deposition can be interpreted by it. 3. Probability cumulative curves once had been used to analyse subenvi-ronments. Since they are controlled by various factors, they can not be simply used to distinguish depositional environments. However,in the same depositional system, the curves are regarded as more ideal for distinguishing sedi-mentary environments. 4. The study of grain size distribution can be helpful to the identificationof depositional environments. But it provides simply the information of the general kydrodynamic conditions in the deposition. Only when it is considered together with sedimentary structures, bioturbation and geological settings, canit be good environmental index.
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