摘要
目前地震相划分主要是根据反射的波形、能量、极值、频率、连续性等进行人工划分,工作量巨大,而且主要凭经验,因人而异。自组织映照模型适合用于地震相自动划分。试验表明,其划分结果与人工划分结果能相互对应,且更为细致、准确,方法简单,处理快速。随着油气勘探的发展,该方法有较好的应用前景。
The discrimination of seismic facies is a work done by hand at present depending on one's experience, mainly based on the shape, energy, extreme value, frequency, continuity etc. of the reflection wave. The manpower needed is enormous. The result done by different one could be different . The Self- organizing Mapping Model of artificial neural network is adaptable to be used to the automatic discrimina- tion. It is shown on trial that both the artificial and the automatic results coincide with each other, and the latter is more subtle and accurate. The method of automatic discrimination is simple, and the process is fast. It could have quite good application prospect as the oil & gas exploration goes forward.
关键词
神经网络
地震勘探
地震相
地层划分
artificial intelligence
nerve network
interpretation model
(Self-organizing Mapping Model)
seismic facies
stratigraphic classification
