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用计算机实现判别沉积微相方法
引用本文:徐开志,唐勇,王海东,赵铮亚.用计算机实现判别沉积微相方法[J].新疆石油地质,1999,20(2):127-129.
作者姓名:徐开志  唐勇  王海东  赵铮亚
作者单位:长春科技大学,吉林长春,130062
摘    要:在计算机上采用“专家经验参数逻辑判别法”研究地下沉积微相,主要利用综合录井和四种测井曲线数据,测井解释与相邻参数井匹配补充地质信息,用曲线形态参数辅助,建立地方性相模型,再综合判别各单元的沉积微相。文章介绍了该方法的原理、数据制备、参数提取与计算和建模、判别等。通过对某盆地侏罗系的实际判别结果表明:综合录井资料判别结果是正确的,用匹配的测井解释与曲线参数综合判别结果更具合理性

关 键 词:经验数据  判断  录井曲线  测井数据  沉积微相  沉积模式  电子计算机
修稿时间:1998-06-26

Discrimination of Sedimentary Microfacies with Computer
Xu Kaizhi,Tang Yong,Wang Haidong,Zhao Zhengya.Discrimination of Sedimentary Microfacies with Computer[J].Xinjiang Petroleum Geology,1999,20(2):127-129.
Authors:Xu Kaizhi  Tang Yong  Wang Haidong  Zhao Zhengya
Abstract:This paper presents expert empirical parameter logic discrimination method to study sedimentary microfacies on the computer. Local facies model is established by using synthetic logging and four kinds of logging curves, along with geologic information provided by match of log interpretation with neighbouring parameter well and curve shape parameters, sedimentary microfacies of each geologic unit were then recognized. It describes the principle, data preparation, parameter selection and calculation, model establishment and microfacies discrimination. Case study shows that recognition with synthetic logging data is accurate, while recognition with combined log interpretation and curve is more reasonable.
Keywords:Empirical data    Recognition    Logging curve    Log data        Sedimentary microfacies    Sedimentary model    Computer  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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