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

应用广义S变换频谱分解技术识别松辽盆地三肇凹陷泉头组三-四段的河道砂体
引用本文:宋永忠,张尔华,沈加刚,陈树民,高静怀,李昂.应用广义S变换频谱分解技术识别松辽盆地三肇凹陷泉头组三-四段的河道砂体[J].地质科学,2009,44(2):534-544.
作者姓名:宋永忠  张尔华  沈加刚  陈树民  高静怀  李昂
作者单位:1. 大庆油田有限责任公司勘探开发研究院, 黑龙江, 大庆, 163712; 2. 成都理工大学信息工程学院, 成都, 610059; 3. 西安交通大学电子信息工程学院波动与信息研究所, 西安, 710049
基金项目:国家重点基础研究发展规划(973计划) 
摘    要:松辽盆地三肇凹陷东部地区泉头组三-四段储层以河道砂岩为主,具有单层厚度薄、横向变化快等特点.本文将基于广义S变换的频谱分解技术应用于厚度为1~5 m的河道砂体的识别,取得了良好的效果.据此编制了研究区的河道砂体预测图,经钻井验证,证明它是对薄层河道砂体有较强识别能力的有效技术.

关 键 词:河道砂体  地震识别方法  广义S变换  频谱分解  三肇凹陷  松辽盆地
收稿时间:2007-12-18
修稿时间:2007-12-18;

Application of generalized S transform spectral decomposition in recognition of channel sandbodies of Members 3-4,Quantou Formation in the Sanzhao Sag, Songliao Basin
Song Yongzhong,Zhang Erhua,Shen Jiagang,Chen Shumin,Gao Jinghuai,Li Aug.Application of generalized S transform spectral decomposition in recognition of channel sandbodies of Members 3-4,Quantou Formation in the Sanzhao Sag, Songliao Basin[J].Chinese Journal of Geology,2009,44(2):534-544.
Authors:Song Yongzhong  Zhang Erhua  Shen Jiagang  Chen Shumin  Gao Jinghuai  Li Aug
Institution:1. Exploration and Development Research lastitnte of Daqing Oilfield Company Ltd., Daqing, Heilongjiang 163712; 2. Chengdn University of Technology, Chengdu 610059; 3. School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049
Abstract:Channel sandstone is dominated reservoir in Fuyu oil layer hosted in Members 3-4, Quantou Formation in the eastern Sanzhao Sag, Songliao Basin, which was characterized by thin beds and rapid facies-changing transversely.In this article, a technique of Generalized S Transform spectral decomposition was briefly introduced, and then applied in recognition of channel sandbodies with the thickness being between 1 and 5 meters.The results showed that a good quality could be obtained for seismic interpretation.Based on the interpretation, the distribution map of channel sandbodies was compiled, which predicted interesting or potential belts in the eastern Sanzhao Sag.Two drilling wells demonstrated the predication being correct,and indicated the technique of Generalized S Transform having a stronger ability in recognizing thinner channel sandbody effectively.
Keywords:Channel sandbody  Seismic recognition method  Generalized S Transform  Spectral decomposition  The Sanzhao Sag  The Songliao Basin
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《地质科学》浏览原始摘要信息
点击此处可从《地质科学》下载免费的PDF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