Abstract：The aeromagnetic survey in Tarim basin offers abundant informations and shows many local aeromagnetic anomaly bodies. It is very important for us to evalthese anomaly bodies so as to find hydrocarbon exploration targets. With the use of geological，drilling，seismic and gravimetric data anomaly bodies have been classified and interpreted by using self-learni significantng pattern recognition. Potential hydrocarbon areas in this basin have been mapped then.
刘展, 许炳如. 塔里木盆地航磁局部异常的自学模式识别分类及评价[J]. 石油地球物理勘探, 1999, 34(1): 71-78.
LIU Zhan, XU Bing-ru. Classification and evaluation of local aeromagnetic anomaly bodies in the Tarim learning pattern recognition. OGP, 1999, 34(1): 71-78.
