巴彦浩特盆地锡林凹陷火成岩特征与识别  

Characteristics and Identification of Igneous Rocks in Xilin Sag of Bayanhot Basin

作　　者：王贝贝 王梦醒 李欣 Wang Beibei;Wang Mengxing;Li Xin(Oversea Evaluation Center-,CNOOC Research Institute Co.,Lted.,Beijing 100028,China;Key Laboratory of Petroleum Resources Research,Institute of Geology and Geophysics,ChineseAcademy of Sciences,Beijing 100029,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中海油研究总院有限责任公司海外评价中心,北京100028 [2]中国科学院地质与地球物理研究所中国科学院油气资源研究重点实验室,北京100029 [3]中国科学院大学,北京100049

出　　处：《工程地球物理学报》2018年第3期284-291,共8页Chinese Journal of Engineering Geophysics

摘　　要：巴彦浩特盆地火成岩非常活跃、分布广泛,对于油气勘探来说火成岩的识别十分重要。首先对X-1井测井数据与过井剖面分析得出火成岩的岩性和物理特性,然后采用BP人工神经网络方法对5条剖面处理解释,识别出锡林凹陷火成岩的分布。综合分析认为,这些火成岩主要形成于燕山晚期,受断裂控制,规模不大、特征不明显,用常规方法难以识别。The igneous rocks of Bayanhot basin are very active and widely distributed,and the identification of igneous rocks is important for oil and gas exploration.In this paper,the lithology and physical characteristics are obtained by the well data of X-1 and across seismic section.Then the BP artificial neural network method is used to process and interpret 5 sections and identify the igneous rocks.After comprehensive analyzing,it is regarded that these igneous rocks are mainly formed at the end of Yanshan,which is controlled by fracture,small scales,not obvious in characteristics and is difficult to be recognized by conventional methods.

关 键 词：巴彦浩特盆地 地震勘探 火成岩 BP人工神经网络 

分 类 号：P631.4[天文地球—地质矿产勘探]