利用测井与地球化学信息判断储层水淹程度

Wateredout degree of reservoirs judged by log and geochemical information.

分析坨 2 - 1-检 180 3井密闭取心资料 ,发现岩石热解地球化学参数及常规测井信息与储层水淹程度有密切关系。借助神经网络技术 ,提出了利用测井、地球化学资料判别水淹层级别的新方法。该方法已在两口新钻井中成功地进行了全井预测。

It is discovered that geochemical parameters of rock pyrolysis and routine log information are closely related with the wateredout degree of reservoirs by analyzing the pressure coring data of Tuo 2-1-Jian-1803 well. A new method is raised for judging the grade of the watered-out zone with the aid of neural network technique using log and geochemical information. This method has been applied successfully in two new wells making prediction in the whole.