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Possibilistic C-Means for considering of Neutron and density porosity

机译:考虑中子和密度孔隙率的可能的C均值

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Petro physical parameters are important for predicting capacity of reservoir so, many modern oil and gas wells are drilled directly. Based on measuring these parameters, logging operations is done to achieve a complete log of every well. In some cases a complete set of data with minimum error of logs is achieved, but for various reasons such as failure to complete the logging of old wells logs are incomplete or inadequate, so getting complete set of data is too hard or impossible. Density and Neutron porosity are two of the important results of logging. As a result in this study these two parameters have been considered by Possibilistic C-Means clustering to evaluate its range. Gamma ray, Deep resistivity and sonic log are used for inputs.
机译:石油物理参数对于预测储层容量很重要,因此,许多现代油气井都直接钻探。在测量这些参数的基础上,进行测井操作以实现每口井的完整测井。在某些情况下,可以获得完整的数据集并具有最小的测井误差,但是由于各种原因(例如未能完成对旧井的测井记录)是不完整的或不充分的,因此获取完整的数据集太困难或不可能。密度和中子孔隙率是测井的两个重要结果。作为这项研究的结果,可能的C均值聚类考虑了这两个参数以评估其范围。输入使用伽玛射线,深电阻率和声波测井。

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