地震属性信息预测储层厚度

Predict Thickness of Reservoir by Using Seismic Attribute Information

储层厚度的求取是油气藏描述的重要部分 ,其求取方法较多。介绍一种利用神经网络和专家优化法优选地震响应中所包含的地震属性信息 ,然后利用优选后的地震属性预测储层厚度 ,该方法在新疆焉耆盆地本布图地区的应用取得了较好的地质效果。

Calculation of reservoir thickness is an important part of reservoir description. This paper introduces a prediction method of reservoir thickness by using seismic attribute information contained in seismic response and optimized through neural network and expert systems. Its application in Benbutu block in Yanqi basin, Xinjiang Autonomous Region has achieved good geologic effects.