首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于统计学的火山岩储层流体识别新技术
引用本文:宋鹏,阮宝涛,杨武林,李忠诚,王志文.基于统计学的火山岩储层流体识别新技术[J].物探化探计算技术,2012,34(2):138-142,5,6.
作者姓名:宋鹏  阮宝涛  杨武林  李忠诚  王志文
作者单位:吉林油田勘探开发研究院,吉林松原,138000
基金项目:国家重点基础研究发展规划“973”项目(2009CB219300)
摘    要:目前对于火山岩储层流体的识别技术还处于不断探索的阶段,特别是对于气藏的流体识别,更是目前开发的一个热点。常用的流体识别方法有图版法、曲线重叠法、三孔隙度组合法、比值法和参数法等。虽然每种方法都能从不同的侧面反映流体的性质,但是由于火山岩储层岩石成份复杂多变,利用上述五种方法分别会出现试采数据点少,曲线刻度单一,岩石骨架参数求取不准确,测井序列响应不敏感和数据单一等诸多问题。因此这里以松辽盆地南部英台气田为例,避开火山岩气层岩石成份复杂的问题,通过统计学的原理放大流体性质,提出一种新的针对火山岩气层流体识别技术,从而对流体进行有效识别。

关 键 词:火山岩储层  流体识别  统计学  概率分布  放大

A NEW TECHNOLOGY OF FLUID IDENTIFICATION FOR VOLCANIC RESERVOIR BASED ON STATISTIC
Institution:SONG Peng, RUAN Bao-tao, YANG Wu-lin, et al. (Exploration and Development Research Institute of Jilin Oilfield Company, Songyuan Jilin 138000, China)
Abstract:At present, the fluid identification technology of volcanic reservoir still on the develop stage, even more gas identification is a hotspot especially for during exploitation. There are 5 common fluid identification methods such as chart, curve overlap, 3 porosity combination, ratio and parameter etc. Although each method could reflect fluid property from different aspects, there are still many problems using these methods, for example, few producing test data, simplex scale, inaccurate frame parameters, not sensitive for log response, and simple data, etc because of the diversification and complexity of volcanic rock component. This paper will focus on how to identify fluid effectively using enlarge principle of statistic which avoid the complex rock component and put forward a new fluid identification skill for volcanic gas reservoir take Yingtai gas field for example.
Keywords:volcanic reservoir  fluid identification  statistic  probability distribution  magnify
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号