摘要
在现代油气勘探中 ,利用各种地震信息进行油气预测是地质家们一直探索的问题 ,尤其是近几年 ,随着地震勘探技术的不断发展 ,利用与地层构造、岩性圈闭或储集层有关的地震信息寻找孤立砂岩体、河道砂体、沙坝等以及判断含油性已成为提高油气勘探成功率的重要手段之一。波形分类技术充分利用了地震资料信息丰富的特点 ,采用神经网络算法对地震道波形特征进行分类 ,细致刻画地震信号的横向变化 ,从而得到反映储集层特征的地震相图 ,用于砂体及隐蔽岩性油藏分布范围的预测。应用波形分类方法对冀中坳陷大王庄隐蔽油藏进行了储集层预测 ,并实施钻探了Lu10 5等 3口井均获得成功 ,取得较好的应用效果。图 3参
In modern oil and gas exploration, geologists have been trying to use various seismic characters to predict oil and gas reservoirs. Especially in recent years, with the development of seismic exploration techniques, in orde r to find out isolated sand body, c hannel sandstone body, sand reef and to diagnosis oil bearing character so as to enhance success ratio in oil and gas exploration, seismic information related t o stratigraphic structures, lithologic traps or reservoirs has been widely used. Waveform classification method has fully taken the advantage of abundant seismi c information and carefully identified the transverse changes of seismic signals by nerve net work algorithm which is used for classifying the form of seismic t races, and then, the seismic facies map that matched to geological facies is obt ained. Accordingly this waveform classification method can be used to predict th e distribution area of reservoir sand body and the subtle lithologic reservoir. In this article, an application example that has made a great deal success from Dawangzhuang area in Jizhong depression is presented, in which 3 new wells such as Well Lu105 etc. have been successfully drilled.
出处
《石油勘探与开发》
SCIE
EI
CAS
CSCD
北大核心
2001年第6期53-55,共3页
Petroleum Exploration and Development
关键词
隐蔽油藏
预测
波形分类技术
原理
工作流程
应用
Waveform classification, Nerve net algorithm, Reservoir prediction, Sa nd body, Subtle reservoir
