利用综合信号处理技术实现油气层的测井解释

Realization of log interpretation for oil-gas reservoir by comprehensive signal processing technique

中国地质大学(武汉), 武汉430074

China University of Geosciences, Wuhan 430074

以信号分析与处理的基本原理研究了测井信号的特征和性质,它们是开发油气测井解释新模型的基础。新模型以多种信号处理技术实观测井环境校正；以测井信号和储层先验知识确定储层参数；以信号重构模型计算饱和度。在没有先验知识时,模型能够自动学习,提取测井信号含有的反映储集性和含油性的特征,并最终确定储集参数和含油参数。

Feature and nature of well-logging signals have been studied by basic principles of signal analysis and processing. They are the base for developing a new model of log interpretation for oilgas reservoirs. The model completes correction for logging environments with varied signal processing techniques. It determinates reserve parameters with the log signals and foregoing knowledge of the reservoir. It computes oil saturation with signal reconstruction method. When there isn’t the foregoing knowledgo, the model can extract by auto-study characteristics that relate to reservelity and oil-saturaty from the log signals. Finally, the saturation and reservoir parameters have been determinated.