塔里木盆地航磁局部异常的自学模式识别分类及评价

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英文篇名：Classification and evaluation of local aeromagnetic anomaly bodies in the Tarim basin by self-learning pattern recognition 中文刊名：石油地球物理勘探 英文刊名：OIL GEOPHYSICAL PROSPECTING 作者：刘展 ; 许炳如 英文作者：Liu Zhan and Xu BingruLiu Zhan(Telecommunication Department ; Xi’an Engineering College ; No．6 Yanta Street ; Xi’an City ; Shaanxi Province ; 710054) 中文关键词：自学模式识别 ; 航磁局部异常 ; 分类 ; 评价 ; 塔里木盆地 英文关键词：self-learning pattern recognition ; aeromagnetic local anomaly ; classification ; evaluation ; Tarirn basin 出版日期：1999-02-15 机构：西安工程学院,西安石油学院 年：1999 期：01 出版单位：石油地球物理勘探

摘要

塔里木盆地航磁△T测量取得了丰富的信息，圈出了许多局部异常。评价、解释这些异常，为油气勘探提供靶区十分重要。本文结合塔里木盆地的地质、钻井、地震、重力等资料，对有意义的379个局部异常，采用自学模式识别方法进行分类，给出了各类异常的地质解释，并指出了该盆地的含油气远景区。
The aeromagnetic survey in Tarim basin offers abundant informations and shows many local aeromagnetic anomaly bodies. It is very important for us to evaluate these anomaly bodies so as to find hydrocarbon exploration targets. With the joint use of geological, drilling, seismic and gravimetric data, 379 significant anomaly bodies have been classified and interpreted by using self-learning pattern recognition. Potential hydrocarbon areas in this basin have been mapped then.

引文

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