| 小波变换在识别储层流体性质中的应用 |
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| 引用本文： | 岳文正,陶果. 小波变换在识别储层流体性质中的应用[J]. 地球物理学报, 2003, 46(6): 863-869 |
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| 作者姓名： | 岳文正 陶果 |
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| 作者单位： | 1.石油大学岩石物理实验室，北京 102249 2 清华大学工程力学系，北京 100084 |
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| 基金项目： | 中国石油天然气集团公司中青年创新基金 ( 2 0 0 1CX -16) |
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| 摘 要： | 根据小波变换的特点提出一种识别储层流体的新方法. 本文假设测井所得的信号为地层微观孔隙结构、地层流体性质及岩性和岩相等各部分的综合贡献之和，不同的储层中小波分析的能量谱特征不同，因而通过对已知储层模型进行小波能量谱分析，可得到各种储层的特征能量谱，根据这些储层特征能量谱就可以对待划分的储层段进行储层流体性质判别.
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| 关 键 词： | 小波变换 能谱分析 储层流体识别 电法测井 |
| 文章编号： | 0001-5733(2003)06-0863-07 |
| 收稿时间： | 2002-03-27 |
| 修稿时间： | 2003-05-25 |
A METHOD FOR RECOGNITION OF FLUID PROPERTY IN RESERVOIRS USING WAVELET TRANSFORMATION |
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| YUE WENZHENG. A METHOD FOR RECOGNITION OF FLUID PROPERTY IN RESERVOIRS USING WAVELET TRANSFORMATION[J]. Chinese Journal of Geophysics, 2003, 46(6): 863-869 |
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| Authors: | YUE WENZHENG |
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| Affiliation: | 1.Laboratory of Rock Physics, University of Petroleum, Beijing 102249, China 2 Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China |
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| Abstract: | We attempt to develop a new method for recognition of fluid properties in reservoirs by using wavelet transform. Assume that signals of electric well-logging represent the integrated contribution of many subsurface factors. They include microscope porous structure of strata, properties of underground fluids, rock features and rock phases. The characteristics of energy spectra from wavelet analyses for varied reservoirs are different. So we can obtain characteristic energy spectra of various kinds of reservoirs through wavelet analysis to known models. With these spectra we can make recognition of fluid properties to reservoir sections, which are to be distinguished. |
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| Keywords: | Wavelet transform Energy spectrum analysis Reservoir fluid recognition Electric well- logging. |
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