总结了一套适合于本地区薄储层预测的思路和技术
本文利用地震、测井、钻井等资料对目标层进行预测
储层薄、含泥量高给古537地区储层预测带来了一定困难
包括提频处理技术、测井资料标准化、归一化、重构处理技术、精细构造解释、地震属性分析、地震反演技术、三维综合建模技术和油藏综合评价等
说明本文研究思路具有可行性
为其它地质条件相似地区的精细储层预测提供了参考借鉴
关键词： 薄储层预测
） 摘要： 大庆古537地区葡萄花油层主要以三角洲前缘亚相沉积为主
本文还对有利区块进行了预测
） Abstract： The Putaohua oil pay in Gu537 survey, Daqing oilfield, developed at the delta front intrafacies, is constituted of several types of sand rocks, underwater diffluent channel sand and delta front sheet sand
These reservoirs are quite thin, ranging from 1 to 3 meters
The Gu537 survey is a very significant area in terms of its implications in the intending exploration, while some specific disadvantages such as thin reservoir, high mud percentage presents unexpected problems in the reservoir detection
Appreciably, weighing the problems of reservoir detection, conbined with seismic data, well log and drilling data, the paper summarizes a series of ideas and techniques for the Mingxing survey on the basis of existing data and technique, including the new spectrum technique with higher resolving power; logging data standardization and orthonormality processing techniques, in addition to curve reconfiguration techniques; fine structural interpretation techniques; seismic attribution analysis techniques; seismic inversion techniques; 3D building model techniques; and reservoir evaluation techniques, and so on
The entire process is both dependent and integrated iterative studying process
On top of that, prognosticating the range of profitability which has been verified with testing data of new drill well
Findings showing its consistency with first-hand date demonstrates the feasibility of the ideas and
techniques adopted in this project
The techniques in this research proves to be effective in Maoxing area and can be consulted with in other surveys facing the same geological conditions
Keywords： Thin reservoir prediction, Seismic attributes analysis, Acoustic impendence inversion, Model based prediction 下载PDF阅读器 PDF全文下载： 初稿 （ 171 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 张亮亮
古537地区薄砂岩储层精细预测技术研究[EB/OL]
