摘要
由地震数据体提取的地震属性值可能与某些地质参数具有很大的相关性,但同时单属性参数具有多解性。利用多地震属性优化下的神经网络技术对鄂尔多斯盆地高阻抗砂岩储层预测的实践表明,该技术有效避免了单属性多解性和多属性综合判别精度低的缺点,提高了利用地震属性预测高阻抗砂岩储层的精度。
The seismic attribute extracted from seismic data may be related to some geologic parameters.However,a single attribute parameter usually has multiplicity.In this paper,The high-impedance sandstone reservoir is predicted with neural network technology optimized by multiple seismic attributes.Calculation results show that this technology is effective to avoid the multiplicity of a single seismic attribute and the difficulty in recognition of integrated multiple seismic attributes.With this approach,we can improve the prediction precision for a high-impedance sandstone reservoir.
出处
《海洋地质动态》
北大核心
2010年第10期45-49,共5页
Marine Geology Letters
关键词
地震属性
优化
神经网络
高阻抗砂岩储层
储层预测
seismic attribute
optimization
neural network technology
high-impedance sandstone reservoir
reservoir prediction
