摘要
以苏北盆地低电阻率油层的成因、分布特征及识别方法研究的成果为基础,探讨并完善了低电阻率油层有关概念,低电阻率油层研究有关油层单元的选择;神经网络识别方法的特点及该方法存在的缺陷,地质综合判别的基本原理及其应用的必要性、重要性。并总结指出了苏北盆地低电阻率油层的分布层位、分布规律,对于低电阻率油层的研究具有指导作用。
In order to guide the work of the exploitation of oil and gas in Shubei basins,this report studies on the distribution of the low resistivity reservoir in Subei basin by using a new method which can analyze the distribution characteristics of the low resistivity reservoir on the basis of the member of layer and emphasis of the structural factors,and identify the low resistivity reservoir by using the method which include the artificial nerve network method,Intersection grap method and integration of geology method.The result indicated that low resistivity reservoir mainly distributed in the Shawa structure belt of Gaoyou Depression and the Biandong oilfields and Minqiao oilfield of Jinhu Depression in Subei Basin.Especially reservoir distributed layer of E1f31-3~E1f31-6.Low resistivity reservoir of Shubei basins mainly distributed in sand sheet miscrofacies of delta front.Low resistivity reservior distributes in lice that between in upper part of positive and inverted layered of rhythem.On the basis of the founded reservoir,new reservoirs are identified,then the thickness and areas of reservoir are enlarged,and the oil region production was increased.The outcome of the research gained preferable economic benefit for the Subei basin.
出处
《新疆石油天然气》
CAS
2012年第2期1-3,9,共4页
Xinjiang Oil & Gas
关键词
苏北盆地
低电阻率油层
神经网络识别
地质综合判别
Subei basins,low resistivity reservoir,artificial nerve network method,integration of geology method