测井智能解释模型的建立及应用

An Intelligent Model Applied to Well Logging Interpretation: Development and Application

为了更好利用测井数据进行地层评价,根据信息系统的基本原理和方法,以模糊集和粗糙集两种不确定性知识处理理论为基础,把测井数据及其地层测试结论作为信息系统的决策表,从测井决策表中提取含有不确定性的决策规则作为智能测井解释模型,最后应用该模型有效地进行测井解释评价。由于基于信息系统的思想,在地层评价时利用了人工智能不确定性的推理方法,这种智能建立解释模型的过程具有高度非线性化、高效性、通用性的特点,尤其适合于复杂非均质地层的评价,该方法为解释人员解决复杂地层提供了一个新工具。

This paper presents effective evaluation of well log interpretation by fully utilizing well log data, based on basic principle and method of formation system. That is, using well log data and the results from formation test as a decision-making table of information system, from which the decision-making regulation with uncertainty is taken out as its intelligent model in terms of theory of fuzzy set and rough set. Such a model has the characteristics of high non-linearization, high validity and high generalization in use, especially suitable for the evaluation of complex heterogeneous strata as a new tool to well log interpreters.