摘要
Stratimagic波形分类方法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形状即波形特征 ,对某一层间内容的实际地震数据道进行逐道对比分类 ,细致刻画地震信号的横向变化 ,从而得到与地质相对应的地震相图 ,并以此用于储层砂体及岩性油藏的预测。以在生产应用中取得明显效果的大王庄岩性油藏为例 ,介绍了Stratimagic波形分类技术在该区东营组岩性油藏勘探中的具体应用方法。用预测结果提供了 3口井位目标 ,经钻探实施后均获商业性油流 ,新发现了千万吨级储量规模的岩性油藏。
The stratimagic waveform classification method has been used to study the transverse changes of seismic information.The forms of seismic trace can be correlatived and classified by the neural network algorithm,and the horizontal changes of seismic signals may be described,and then the map of the seismic facies matching to geological facies can be obtained.This method can be used to predict the distribution of reservoir sand body and lithologic oil reservoir.The application of this method in Dawangzhuang area of Jizhong depression shows a good result.The locations of three wells has been provided by using the predicted results of this method.The wells has produced oil successfully.A lithologic oil reservoir with a reserve of ten thousand tons has been found in this area.
出处
《石油学报》
EI
CAS
CSCD
北大核心
2002年第4期33-36,共4页
Acta Petrolei Sinica
基金
国家自然科学基金项目 (40 1 72 0 59)资助
关键词
波形分类法
神经网络算法
砂岩体
岩性油藏
冀中探区
waveform classification
neural network algorithm
sand body
lithologic oil reservoir
