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作 者:马欢 张洪洋[2] 郭越 雷阳 谭捍东[4] 吴萍萍 张浩楠 席彪 MA Huan;ZHANG Hong-Yang;GUO Yue;LEI Yang;TAN Han-Dong;WU Ping-Ping;ZHANG Hao-Nan;XI Biao(School of Earth Science,Institute of Disaster Prevention Science and Technology,Langfang 065201,China;Data Processing Interpretation Center of Well?Tech,China Oilfield Services Limited,Langfang 065201,China;Department of Geological Survey,No.203 Research Institute of CNNC,Xianyang 712000,China;Geophysics and Information Technology Academy,China University of Geosciences,Beijing 100083,China)
机构地区:[1]防灾科技学院地球科学学院,河北廊坊065201 [2]中海油田服务股份有限公司油田技术事业部资料解释中心,河北廊坊065201 [3]核工业二〇三研究所地质勘查院,陕西咸阳712000 [4]中国地质大学(北京)地球物理与信息技术学院,北京100083
出 处:《物探与化探》2019年第6期1320-1325,共6页Geophysical and Geochemical Exploration
基 金:廊坊市科学技术研究自筹经费项目(2018013099);中央高校基本科研业务费项目(2018013099);国家自然科学基金项目(41804119)
摘 要:时移电阻率法能够应用于监测地下水污染物运移、衡量坡面稳定性等工程和环境问题。本文利用归一化时移电阻率法数据反演结果识别地下微小电阻率结构变化。首先,将初次采集数据作为背景数据,利用其归一化其他时刻时移电阻率法数据;再次,实现背景数据、时移数据以及归一化后时移数据的非线性共轭梯度反演。在合成数据算例中,保持观测系统不变,用相同反演参数和均匀半空间参考模型参与反演。反演结果表明,相对背景电阻率而言,归一化数据反演结果能够直接地、有效地分辨较为微小的电阻率结构动态变化,而传统电阻率反演不能分辨。The time?lapse resistivity method can be applied to engineering and environmental problems such as monitor groundwater contaminant transport,measure slope stability.In this paper,the normalized data inversion result of the time?lapse resistivity method was used to identify the subsurface structure of small resistivity changes.First,the data ratio normalization was adopted in which the in?itial data serve as the background data to normalize the data at other times.Next,the separate nonlinear conjugate gradients(NLCG)inversion result of initial data,time?lapse data and normalized time?lapse data were implemented.The same inverted parameters and ho?mogenous half space model that was taken as the reference model were applied in all synthetic data examples.The inversion results show that the normalized data inversion results can effectively distinguish the small changes of resistivity relative to the background,but the conventional resistivity inversion almost cannot recognize it.
分 类 号:P631[天文地球—地质矿产勘探]
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