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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 makes full use of the characteristics of seismic data richness. The neural network algorithm is used to classify the shape of the seismic traces, that is, the waveform features, and to classify the actual seismic data tracks of an inter-layer content one by one, so as to characterize the horizontal variation of the seismic signals , So as to get the seismic facies map corresponding to the geology and use it for the prediction of reservoir sand body and lithologic reservoir. Taking the Dawangzhuang lithologic reservoir with obvious effect in production and application as an example, the application of Stratimagic waveform classification technology in the exploration of lithologic reservoirs in Dongying Formation of this area is introduced. The results of the prediction provided the targets of three wells. After drilling, commercial oil flow was obtained and a new lithological reservoir of ten million ton reserves was discovered.