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在油田开发过程中,随着水洗程度的增加,水淹层测井解释系统还停留在以静态资料为主的测井曲线单井解释上,难以得到准确的解释参数,使测井解释模型求得储层参数和含油饱和度的精准度下降,其结果使以此为基础判定的水淹级别符合率降低。为了提高常规测井资料下水淹层测井评价精度,采取动静态相结合的方法,利用专家系统充分挖掘各种动静态资料中蕴含的知识,进一步对水淹层水淹级别进行判断,提高解释精度,最终将解释过程可视化。
In the process of oilfield development, with the increase of water washing degree, the well logging interpretation system of water flooded layer still stays in single well interpretation of well logging curve mainly based on static data, and it is difficult to get accurate interpretation parameters The accuracy of reservoir parameters and oil saturation decreases. As a result, the coincidence rate of flooding levels determined on the basis of this reduction is reduced. In order to improve the logging logging precision of conventional logging data, a combination of dynamic and static conditions is adopted to fully tap the knowledge contained in the dynamic and static data using the expert system to further judge the water flooded level and improve the interpretation Accuracy will eventually explain the process visualization.