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目前,国内测井多井分析中的关键井研究主要以岩石地球物理理论为基础,利用数理统计的方法建立模型。本文应用于近年来在国内外迅速发展并已广泛应用于油气田勘探领域的神经网络技术,开发了测井分析储层参数研究软件系统(BPLOG)。通过对我国西部油田实际资料的处理应用,已取得可喜的成果。
At present, the study of key wells in domestic well logging multi-well analysis is mainly based on the theory of rock and soil geophysics and uses mathematical statistics to establish the model. This paper is applied to the neural network technology developed rapidly at home and abroad in recent years and has been widely used in the field of oil and gas field exploration. The BPLOG software system for well logging analysis has been developed. Through the application and processing of the actual data in western oilfields of our country, gratifying achievements have been made.