摘要
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。提出了从测井相识别定量化到成图自动化的具体实现过程及方法。认为与沉积微相最具相关性的5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;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;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。
To quickly and accurately identify sedimentary microfacies by well logging curves is an urgent problem in oilfield development.This paper provides automatic identification methods for logging microfacies and automatic creation methods for sedimentary microfacies maps.Five important parameters have been considered as indicators of microfacies,including lithology,sand percentage,porosity,cycle shapes of logging curves and coarseness of the logging curves.Based on microfacies types recognition in the oilfield,built is a discriminant criterion for well logging curves and determining sedimentary microfacies automaticly.Based on the single sandbed log microfacies identification,the deterministic algorithm and random simulation mapping method are used for automatic sedimentary microfacies mappings,and finally modify and complete the automatic computer mappings.The example of Da＇anbei oilfield sedimentary microfacies research in the Songliao Basin is given to explain how to use this method.The results show this method is effective.
出处
《测井技术》
CAS
CSCD
北大核心
2009年第4期388-393,共6页
Well Logging Technology
关键词
测井解释
沉积微相
判别标准
曲线形态
定量研究
log interpretation
depositional microfacies
discriminant criterion
curre pattern
quantitative study
