摘要
联合应用地震属性分析、波形相似性分析、蚂蚁体分析、人工智能非线性神经网络等四项技术综合分析古潜山裂缝分布规律,通过实践发现,预测结果与已钻井资料结果具有很好的一致性,该方法对潜山内幕裂缝的预测有一定的指导意义。
The analysis on seismic attribute,waveform similarity and ant body are carried out to investigate the distribution of faults in paleo-buried hill combined with the application of artificial intelligence nonlinear neural network. The practices show that the prediction results are consistent with historical drilling data.It is helpful for prediction of internal faults in buried hill.
出处
《石化技术》
CAS
2015年第7期150-151,共2页
Petrochemical Industry Technology
关键词
裂缝预测
地震属性
相干体
波形相似性
fracture prediction
seismic attribute
coherence
waveform similarity