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沉积微相特征在测井曲线上有所反映。在关键井取心段沉积微相精细分析的基础上,通过研究各种沉积微相的测井响应特征,提取7个能反映沉积微相变化的测井相要素,并通过主成分分析提取若干可反映沉积微相变化的综合特征参数,建立各类沉积微相的测井识别模型,根据此模型对未取心井段的沉积微相进行自动识别。该方法从沉积成因角度出发,削减了测井曲线中的不确定因素,对未取心井段的沉积微相分析具有一定的借鉴意义,表明数学地质在分析沉积环境中具有较大潜力。
The characteristics of sedimentary microfacies are reflected in the log curves. Based on the detailed analysis of the sedimentary microfacies of the key wells, seven logging facies factors that can reflect the changes of sedimentary microfacies were extracted by studying the log response characteristics of various sedimentary microfacies, and some principal components were extracted by principal component analysis It can reflect the comprehensive characteristic parameters of sedimentary microfacies and establish the logging identification model of all kinds of sedimentary microfacies. According to this model, the sedimentary microfacies in the non-cored well section are automatically identified. Based on the sedimentary genesis, this method reduces the uncertainties in the logging curves and provides some references for the analysis of sedimentary microfacies in the section of non-cored wells. It shows that the mathematical geology has great potential in the analysis of sedimentary environment.