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地震参数在泌阳凹陷白云岩预测中的应用
引用本文:靳玲,丁艳红,苏桂芝,张玉霞.地震参数在泌阳凹陷白云岩预测中的应用[J].新疆石油地质,2004,25(2):153-155.
作者姓名:靳玲  丁艳红  苏桂芝  张玉霞
作者单位:中国石化河南油田勘探开发研究院,河南南阳473132
摘    要:随着储集层预测技术的发展。提取众多的属性参数进行判断已成为地震解释的重要手段,在进行储集层预测和评价时,通常使用与储集层预测有关的各种地震属性.以各种方法从地震数据体中提取的一系列地震属性包含有丰富的地下地质信息不同的地震属性值可能与某些地质参数具有很大的相关性.因此利用地震属性参数可以有效地预测岩性和有利储集层描述油藏特征及孔隙度变化、寻找死油区。描述 了地震属性中的振幅、阻抗频率及能量衰减四种基本类型参数的特征意义。并对泌阳凹陷核二段白云岩区进行了振幅频率衰减阻抗等属性提取分析.成功地预测出白云岩的分布范围。

关 键 词:泌阳凹陷  地震  白云岩  参数  预测  储集层  
文章编号:1001-3873(2004)02-0153-03
收稿时间:2003-03-25
修稿时间:2003年3月25日

Application of Seismic Attributes in Prediction of Dolomite in Biyang Sag
JIN Ling,DING Yan-hong,SU Gui-zhi,ZHANG Yu-xia.Application of Seismic Attributes in Prediction of Dolomite in Biyang Sag[J].Xinjiang Petroleum Geology,2004,25(2):153-155.
Authors:JIN Ling  DING Yan-hong  SU Gui-zhi  ZHANG Yu-xia
Affiliation:Research Institute of Exploration and Development, Henan Oilfield Company, Sinopec, Nanyang, Henan 473132, China
Abstract:With the development of the reservoir prediction technique,the discrimination of reservoir through extracting more attribute parameters has been an important method in seismic interpretation.When prediction and estimation of reservoirs,we usually use all kinds of seismic attributes related to reservoir prediction,and those extracted from seismic data volume with various methods and abundant geologic information.There are probably lots of relativities between the varied seismic attributes and some of geologic parameters,so using the varied seismic attributes could effectively predict the lithology and favorable reservoir,describe reservoir characterization and the variation of porosity and find out bypassed oil region.This paper describes the basic types of seismic attributes such as amplitude,impedance,frequency and energy attenuation and their characteristic significances,analyzes these seismic attributes extracted from dolomite area of H-2layer in Biyang sag,and predict successfully the scope of the dolomite reservoir distribution.
Keywords:Biyang sag  seismic attribute  dolomite  parameter  prediction  reservoir rock
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