论文部分内容阅读
预测油藏岩石物性的方法论是存在的。这个方法论的目的是为预测油藏属性提供一个全面的方案,其中包括估计和不确定性分析。这个方法从以下两个方面进行:(1)不确定性分析。(2)用一个直接的方法,综合多中地球物理学数据集,岩石物理分析信息和先验信息。这个直接的方法利用了贝叶斯定理。在这篇论文中,主要目的是解决孔隙度估计问题。信息来源是叠前地震数据,测井数据和岩心样本。波形弹性叠前反演被包含在这个方法中,目的是从叠前地震数据中得到多孔介质物理属性信息。地质统计学模型被包含在这个方法中,目的是从测井数据中得到多孔介质空间变异信息。应用这个方法,需要把一个油藏分成许多个单元格。对每一个油藏单元格,一个后验概率密度函数被计算出来。最后,两个数据体包含了最终的结果。
There is a methodology for predicting reservoir petrophysical properties. The purpose of this methodology is to provide a comprehensive plan for predicting reservoir properties, including estimation and uncertainty analysis. This method from the following two aspects: (1) uncertainty analysis. (2) Using a straightforward approach that integrates multiple geophysical data sets, petrophysical analysis information and prior information. This direct method makes use of the Bayesian theorem. In this paper, the main purpose is to solve the problem of porosity estimation. The source of information is prestack seismic data, log data and core samples. Wave-elastic prestack inversion is included in this approach to obtain the physical properties of porous media from prestack seismic data. Geostatistical models are included in this method to obtain information on spatial variability of porous media from well logs. Applying this method requires dividing a reservoir into many cells. For each reservoir cell, a posterior probability density function is calculated. Finally, the two data bodies contain the final result.