非一致性时移地震属性分析及储层预测

Non-consistent Time-lapse Seismic Attribute Analysis and Reservoir Prediction

在油田开发过程中,由于储层中的油气被开采,储层的性质或储层参数必然会发生一系列变化。在非一致性重复采集时移地震资料处理基础上,充分利用已有的地震及测井资料,结合工区内的地质特征,从5大类地震属性中提取相关的信息进行分析处理,对地震属性特征进行交会分析对比优选,利用K-L变换进行属性优化组合,最终基于优选出的基础地震属性以及监测地震属性分析对比,并结合工区累积产油量来预测目的层的含油气藏。

In the process of oil field development,due to the exploration of the oil and gas reservoirs,the nature or the parameter of reservoirs must make a series of changes.On the basis of non-consistently and repeatedly collecting time lapse seismic data processing,the existing seismic and logging data are made use of.Combined with the geological features of the work area,the relevant information extracted from the five major species of seismic attributes is analyzed and processed.The seismic attribute characteristics are optimized through the comparative analysis.The K-Ltransform is used to optimize the combination of attributes so as to make a comparative analysis based on the basic seismic attributes and monitoring seismic attributes from the optimized attributes and predict the oil and gas of the target layers according to the accumulated oil production.