关键词: 储层预测, 油藏描述, 遗传算法, 特征优化, 地震解释

Abstract: Porosity is an important parameter in reservoir description.The paper discusses the principle of porosity prediction with seismic data based on the propagation theory of seismic wave in diphase medium.A method of Complete Utilization of Sample Information(CUSI) to predict porosity is presented considering the fact that both the complexity of seismic porosity prediction and the function approximation of BP network need complete sample information and the low efficiency of learning(not suitable for seismic feature optimization).This method uses the capability of local approximation of CUSI network and establishes a function relation between seismic feature and porosity with borehole datd and the seismic data around the borehole to predict the porosity.The paper also presents the optimization principle of seismic features and the seismic feature optimization method based on genetic algorithm in porosity prediction with CUSI network.The result of the application showed that the method improved the porosityprediction precision with seismic datd.

Key words: reservoir prediction, reservoir description, genetic algorithm, feature optimization, seismic interpretation