应用测井资料定量识别沉积微相——以鄂尔多斯盆地姬塬-白豹地区三叠系延长组为例

Quantitative discrimination of sedimentary microfacies by use of log data——Taking the Triassic Yanchang Formation in Jiyuan-Baibao region of Ordos Basin for example

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 characteristic parameters of sedimentary microfacies are obtained by combining well logs and the analyzed results with core information. The numerical well logging-microfacies model is established by means of extracting seven key logging facies elements from several well logging parameters which can reflect the variation of sedimentary microfacies and extracting several synthesis parameters by principal constituent analysis. Based on the method above, the non-cores drills＇ sedimentary microfacies types are automatically discriminated. So this paper offers a supplementary method for sedimentary microfacies analysis from the numerical model, and it is very useful to the sedimentary microfacies of non-cores drills, and also indicates that geomathematics has a rather bright future in sedimentary environment analysis.