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地震测井资料综合储层预测方法大体上可分为传统的数学插值方法和地质统计方法。本文根据近年来石油系统最新由国外引进的各类储层描述软件（如美国Tech.Logic公司的Irex软件，其储层预测方法包括：加权距离平方倒数法（1／R），最小网格张力插值法及高斯顺序模拟法；美国阿特拉斯公司的RM软件，其储层预测方法包括：地震属性约束的测井特征模拟，指示克里金估算法等），对目前国内外地震测井综合储层预测方法进行了论述，并阐述了有关方法的优缺点及其算法原理。指出地质统计随机模拟方法是利用输入参数的一种概率分布函数来模拟油气储层分布情况，而这种概率分布函数代表了储层参数的不确定性及非均质性。为此，进一步研究地质统计方法对于加快我国东部油田中后期的开发和预测低渗储层的分布有重要的意义。
Seismic logging data comprehensive reservoir prediction methods can be divided into the traditional mathematical interpolation methods and geological statistics methods. In this paper, according to the latest petroleum system introduced by foreign countries in recent years, a variety of reservoir description software (such as the United States Tech.Logic’s Irex software, the reservoir prediction methods include: weighted reciprocal square reciprocal method (1 / R), the minimum grid tension Interpolation method and Gaussian order simulation method; Atlas software of the United States, the reservoir prediction methods include: seismic attribute constraint logging characteristics simulation, indicating Kriging estimation method, etc.), the current seismic logging at home and abroad Comprehensive reservoir prediction methods are discussed, and the advantages and disadvantages of the method and its algorithm principle are described. It is pointed out that the geostatistical stochastic simulation method uses a probability distribution function of input parameters to simulate the distribution of oil and gas reservoirs, and this probability distribution function represents the uncertainty and heterogeneity of reservoir parameters. Therefore, further study of geostatistical methods is of great significance for accelerating the development of the middle and later stages of the eastern oilfield in our country and predicting the distribution of low permeability reservoirs.