摘要
利用传统方法进行苏北盆地低电阻率油气层油水层判别时,往往出现被解释为水层或含油水层而被漏掉的情况。针对这种情况在苏北盆地低电阻率油气层形成机理和特征分析基础上,运用人工神经网络方法和地质综合法进行了苏北盆地低电阻率油气层识别研究,有效提高了低电阻率油气层识别的准确率。在苏北盆地高邮凹陷沙埝油田、瓦庄油田和金湖凹陷闵桥油田的阜三段发现了一批低电阻率油气层,为油田勘探开发提供了理论依据。
When traditional method is applied for log interpretation in North Jiangsu Basin,low resistivity reservoirs are usually ignored because of being interpreted as aquifer or oil-bearing aquifer.This paper analyzes the origin mechanism and characteristics of low resistivity reservoirs in North Jiangsu Basin,uses artificial neural network and comprehensive geologic method to identify reservoirs and improve the accuracy of low resistivity reservoir identification.A lot of low resistivity reservoirs have been found in the third member of Funing formation in Sha'nian oilfield and Wazhuang oilfield of Gaoyou sag and Minqiao oilfield of Jinhu sag in North Jiangsu Basin.This provides a theoretic base for oilfield exploration and development in North Jiangsu oilfield.
出处
《特种油气藏》
CAS
CSCD
2008年第2期11-13,共3页
Special Oil & Gas Reservoirs
基金
国家"十五"科技攻关项目"苏北盆地低电阻率油气层成因特征与识别方法研究"(2001BA605A09-11)
关键词
低电阻率油气层
成因分析
识别方法
人工神经网络
地质综合法
苏北盆地
low resistivity reservoir
origin analysis
identification method
artificial neural network
comprehensive geologic method
North Jiangsu Basin