【摘要】 针对油田注水开发油层水淹状况复杂 ,测井资料难以解释 ,分析了水驱后岩石性质的变化及水淹层测井响应特征 ,确定了非均质储层的水淹模式 ,提出了采用图象处理技术和模糊神经网络识别与描述水淹层的方法 .采用该方法对大庆油田高 112 9～检 2 5等 5口井综合分析 .结果表明 :解释符合率为 81.2 9% ,该方法可提高水淹层测井评价的精度更多还原

【Abstract】 It is difficult to identify the flooded formation with the conventional logging\|data because of its complicated conditions in water\|flooded oil field. The water\|drive rock property change and water\|flooded zone log response characteristic are analyzed, the water\|flooded modes of the heterogeneous formation are determined, and the methods of identifying and describing water\|flooded zone are put forward with technology of image processing and fuzzy neural network. With this method to analyze five well\|logging data(including wells Gao 1129 and Jian 25) in Daqing oil field comprehensively, the result indicates that the average interpretation accuracy is 81.29% and this method can improve the logging evaluation precision of water\|flooded zone.更多还原