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利用测井资料快速准确地确定沉积微相是油田开发中急需研究解决的问题。本文提出了从测井相识别的定量化到成图的自动化的具体实现过程及方法。首先认为与沉积微相最具相关性的五个测井要素是岩性、砂岩百分比、孔隙度、曲线旋回形态及曲线齿化程度,其次根据研究区微相类型确定测井相识别标准,在此基础上自动判断沉积微相。接着在单砂层测井相识别基础上应用确定性或随机方法进行沉积微相的自动成图,最终结合区域地质背景修正计算机自动成图,完成相图应用这种思路研究了松辽盆地大安北油田葡萄花油层的沉积微相,取得了一定的效果。
The rapid and accurate determination of sedimentary microfacies by using well logging data is a problem which is urgently needed to be solved in oilfield development. This paper presents the concrete realization process and method of automation from logging quantification to mapping. Firstly, we think that the five logging components that are the most relevant to the sedimentary microfacies are lithology, percentage of sandstone, porosity, curvilinear gyration and degree of curve dentition. Secondly, the logging facies identification standard is determined according to the microfacies in the study area. Based on this automatically determine sedimentary microfacies. Then, based on the single-sand logging facies identification, the sedimentary microfacies are automatically mapped by using certainty or stochastic method. Finally, combining the regional geological backgrounds to correct the computer automatic mapping, the phase diagrams are applied to study the application of Da’an North oil field Putaohua reservoir sedimentary microfacies, and achieved some results.