利用叠前AVA同步反演预测储层物性参数

 为了准确预测储层物性参数，提高地震资料定量解释精度，本文借鉴模拟退火法AVA同步反演方法，提出了一种基于叠前AVA同步反演的储层物性参数预测方法，该方法在综合考虑岩石密度、纵横波速度等弹性参数与孔隙度等物性参数的空间关系基础上，采用Kohenon自组织神经网络储层参数分类，多层感知器（MLP）预测等方法实现了储层物性参数的定量预测，并对预测结果给出了定量评价。将本文方法应用于A探区的储层物性参数定量预测，预测结果验证了方法的有效性。

Utilizing pre-stack simultaneous inversion to predict reservoir physical properties

In order to accurately predict reservoir physical properties and raise quantitative interpretation precision for the seismic data,in this paper a reservoir physical property prediction technique was proposed based on simulated annealing pre-stack AVA simultaneous inversion method,by integratedly considering the space relation between elastic parameters (such as rock density,P-wave and S-wave velocity) and physical properties (porosity and so no),Kohenon self-organized neural network reservoir parameter clas...