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通过开展贝叶斯判别理论在叠前反演数据解释中的应用研究来提高储层预测的准确性.以岩石物理模拟、叠前反演处理和概率密度函数建立作为该技术的关键,基于贝叶斯理论利用测井和岩石物理模拟数据作为先验信息,利用反演成果作为基本数据估计不同岩相的分布概率.该技术充分利用概率和统计作为处理地质不确定性的工具定量解释繁多的叠前反演成果,用这种方法对岩相进行表征和识别,更加适合地质复杂性和多解性特点.火成岩储层预测中的应用表明,贝叶斯判别理论对储层含气性表征更加准确,解决了储层含气性预测难题.“,”Prestacking simultaneous inversion provide a tool to fully use prestacking seismic information.In combination with production data,it is possible to reveal changing lithology of and liquid in a reservoir.Of course,there are uncertainties in data interpretation.The uncertainties could be estimated if Bayes criterion is used in interpretation of prestacking simultaneous inversion data.Rock physics simulation,prestacking inversion and probability density function construction remain the keys of the technique.Data of well logging and rock physics simulation are the information required prior to the processing,and inversion data can be used as the basic information to estimate the probability density function of different lithofacies.This technique takes all the advantages of using probability and statistic as tools to quantitative interpret prestacking inversion data,and it is more reliable for complex geological targets with multi-solution,such as characterization and identification of lithofacies.As to the application of this technique to reservoir prediction in igneous rocks,it shows that Bayes Criterion is much better to identify gas bearing reservoirs,and thus could better serve the prediction of gas-bearing igneous rocks.