首页 | 本学科首页   官方微博 | 高级检索  
     

碎屑岩油气藏沉积微相的测井参数特征识别研究
引用本文:赵希刚,吴汉宁,杨建军,王靖华,柏冠军.碎屑岩油气藏沉积微相的测井参数特征识别研究[J].石油物探,2005,44(6):582-587.
作者姓名:赵希刚  吴汉宁  杨建军  王靖华  柏冠军
作者单位:1. 西北大学地质学系,陕西,西安,710069;核工业203研究所,陕西,咸阳,712000
2. 西北大学地质学系,陕西,西安,710069
基金项目:“973”项目“多种能源矿产共存成藏(矿)机理与富集分布规律(2003CB214600)”和自然基金项目“柴达木盆地志留-泥盆系古地磁研究(40374020)”资助.
摘    要:位于鄂尔多斯盆的Y油田,地层非均质性强,相邻井产能相差比较悬殊,因此,了解储层的分布形态和砂体叠置关系是该油田开发的关键.为此,提出了利用测井参数特征来评价或解释沉积相的方法.首先对方法的基本原理进行了概述;然后利用综合测井资料物性曲线的形状、幅度、数值等特征参数建立了沉积微相与测井曲线特征参数之间的对应关系,并对不同沉积微相岩性的测井曲线形态特征进行了描述;最后,从单井分析、剖面对比、区域研究3个层次研究了碎屑岩油气藏的沉积微相,勾画出Y油田长612油层组主砂体的形态和展布方向,认为河道砂体沉积区是Y油田勘探和开发的有利区带.

关 键 词:油田开发  碎屑岩油气藏  沉积微相  测井参数  特征识别
文章编号:1000-1441(2005)06-0582-06
收稿时间:01 19 2005 12:00AM
修稿时间:2005-01-192005-04-22

The signature recognition of comprehensive logging parameters in sedimentary microfacies of clastic reservoirs
Zhao Xigang,Wu Hanning,Yang Jianjun,Wang Jinghua,Bai Guanjun.The signature recognition of comprehensive logging parameters in sedimentary microfacies of clastic reservoirs[J].Geophysical Prospecting For Petroleum,2005,44(6):582-587.
Authors:Zhao Xigang  Wu Hanning  Yang Jianjun  Wang Jinghua  Bai Guanjun
Abstract:The signature parameters such as the curve shape,amplitude, numerical value are utilized to establish the different homographic relationship between clastic sedimentary microfacies and logging feature parameter, the logging features of different sedimentary microfacies are recognized and described in detail. The sedimentary microfacies of oil-gas pools are researched in three procedures,such as single well analysis, section correlation, regional studying. The sand body of the Yang-61-2 oil layer in Y oil field is accurately identified in its configuration, the river channel is considered the best exploration and exploitation area for oil-gas pools in the Ordos basin.
Keywords:Oilfield exploitation  clastic oil-gas pools  sedimentary microfacies  logging parameter  signature recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《石油物探》浏览原始摘要信息
点击此处可从《石油物探》下载全文
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