| 高分辨率相干体分析技术及其应用 |
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| 引用本文： | 王从镔,龚洪林,许多年,蔡刚.高分辨率相干体分析技术及其应用[J].地球物理学进展,2008,23(5):1575-1578. |
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| 作者姓名： | 王从镔 龚洪林 许多年 蔡刚 |
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| 作者单位： | 1. 成都理工大学信息工程学院,成都,610000;中国石油勘探开发研究院西北分院,兰州,730020
2. 中国石油勘探开发研究院西北分院,兰州,730020 |
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| 基金项目： | 国家重点基础研究发展计划973项目 |
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| 摘 要： | 应用相干分析技术可研究复杂地质构造、断裂发育区、预测裂缝发育带,但传统的相干分析技术有许多局限性.本文给出了一种基于本征值结构的高分辨率相干体分析技术基本原理和关键参数选择方法,通过基于本征值结构的高分辨率相干体属性计算,可获得许多有关断层、微裂缝、岩性扣岩相变化等储层重要特征参数,能够更加清晰地描述地质体产状的细微变化,从而为地质学家研究构造的变形及岩性变化等提供强有力的技术手段.传统的相干分析技术与高分辨率相干体分析技术在准噶尔盆地西北缘车排子地区实际地震资料的处理结果对比表明,高分辨率相干体分析技术用于检测断层、裂缝等,效果显著.
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| 关 键 词： | 相干分析 本征值 断裂识别 裂缝预测 |
| 收稿时间： | 2007-12-10 |
| 修稿时间： | 2008-3-20 |
High-resolution coherency analysis technique and its application |
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| WANG Cong-bin,GONG Hong-lin,XU Duo-nian,CAI Gang.High-resolution coherency analysis technique and its application[J].Progress in Geophysics,2008,23(5):1575-1578. |
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| Authors: | WANG Cong-bin GONG Hong-lin XU Duo-nian CAI Gang |
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| Institution: | (1.CollegeofInformationEngineering,ChengduUniversityofTechnology,Chengdu610000,China;2.NorthwestSubsidiaryofResearchInstituteofExplorationandDevelopment,CNPC,Lanzhou730020,China) |
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| Abstract: | Many researchers use coherency analysis technique for studying geologic structures, faults and predicting fracture areas, but traditional methods have some limits. The basic principles of an advanced coherency analysis technique based on eigenvalue and electing methods of key parameters are studied . Many important parameters of reservoirs, such as faults, micro-fractures, lithology and lithologic facies etc., can be gained and the geologic production situation and microscopic changes can be more clearly described from high-resolution seismic coherence computation based on eigenvalue. So a powerful technical tool can be provided for geologists to research the structural deformation and variation of lithology. The practical processing of seismic data in the Chepaizi region in the Junggar Basin shows that good application result is achieved for the application of the high-resolution coherency analysis method to detect faults and fractures. |
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| Keywords: | cherency analysis eigenvalue fault recognition fracture prediction |
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