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基于统计学的火山岩储层流体识别新技术

宋鹏 阮宝涛 杨武林 李忠诚 王志文

物探化探计算技术2012,Vol.34Issue(2):138-142,5.
物探化探计算技术2012,Vol.34Issue(2):138-142,5.

基于统计学的火山岩储层流体识别新技术

宋鹏 1阮宝涛 1杨武林 1李忠诚 1王志文1

作者信息

  • 1. 吉林油田勘探开发研究院,吉林松原138000
  • 折叠

摘要

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.

关键词

火山岩储层/流体识别/统计学/概率分布/放大

Key words

volcanic reservoir/ fluid identification/ statistic/ probability distribution/ magnify

分类

天文与地球科学

引用本文复制引用

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.

基金项目

国家重点基础研究发展规划“973”项目(2009CB219300) (2009CB219300)

物探化探计算技术

OACSCDCSTPCD

1001-1749

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