| 利用测井资料识别层序地层单元技术与方法进展及趋势 |
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| 引用本文： | 朱红涛,黄众,刘浩冉,Keyu Liu,刘强虎.利用测井资料识别层序地层单元技术与方法进展及趋势[J].地质科技情报,2011,30(4):29-36. |
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| 作者姓名： | 朱红涛 黄众 刘浩冉 Keyu Liu 刘强虎 |
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| 作者单位： | 1. 中国地质大学构造与油气资源教育部重点实验室,武汉430074;中国地质大学资源学院,武汉430074
2. CSIRO Earth Science and Resource Engineering, 26 Dick Perry Ave, Kensington, WA 6151. Australia |
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| 基金项目： | 国家自然科学基金项目(40702024); 中央高校基本科研业务费专项资金项目(CUGL100412); 教育部留学回国人员科研启动基金项目(2009022014) |
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| 摘 要： | 测井曲线包含丰富的地质信息,测井曲线的形态、幅度可以反映出岩性和沉积旋回韵律等地层特征.在综述国内外研究成果的基础上,认为基于测井资料进行层序地层单元划分的方法可以分为定性和定量识别两种,其中,定性方法有自然电位和自然电位镜像法、声波时差与电阻率曲线重叠法、声波时差法、自然电位和视电阻率组合法以及累计地层倾角测井法等；...
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| 关 键 词： | 测井资料 层序地层 定性一定量识别 趋势 |
Progress and Developing Tendency of Technologies and Methods Used to Recognise Sequence Stratigraphic Units Based on the Well-Log Data |
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| ZHU Hong-tao
,
HUANG Zhong
,
LIU Hao-ran
,
Keyu Liu
,
LIU Qiang-hu.Progress and Developing Tendency of Technologies and Methods Used to Recognise Sequence Stratigraphic Units Based on the Well-Log Data[J].Geological Science and Technology Information,2011,30(4):29-36. |
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| Authors: | ZHU Hong-tao HUANG Zhong LIU Hao-ran Keyu Liu LIU Qiang-hu |
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| Institution: | ZHU Hong-tao1a,1b,HUANG Zhong1a,LIU Hao-ran1a,Keyu LIU2,LIU Qiang-hu1a,1b(1a.Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education,1b.Faculty of Earth Resources,China University of Geoscience,Wuhan 430074,China,2.CSIRO Earth Science and Resource Engineering,26 Dick Perry Ave,Kensington,W A 6151,Australia) |
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| Abstract: | The logging curve contains abundant geological information.The shape and amplitude reflect the lithological and sedimentary cycles of strata.Based on the research results of domestic and overseas scholars,the paper proposes the subdivision of the recognition of sequence stratigraphic units based on the well-log data into qualitative and quantitative methods.The qualitative methods to recognize sequence stratigraphic units include SP,SP mirror image method,crossing method of AC and RA,AC method,method of com... |
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| Keywords: | well-log data sequence stratigraphy qualitative-quantitative recognition tendency |
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