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OALib Journal期刊
ISSN: 2333-9721
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基于频谱分解的蚂蚁追踪裂缝检测技术在玉北地区的应用研究
Keywords: 蚂蚁追踪技术,频谱分解技术,裂缝检测,玉北地区
Abstract:
？不同裂缝检测方法对不同尺度、不同成因类型的裂缝检测能力不同.蚂蚁追踪裂缝检测算法是目前一种非常有效的断裂和裂缝识别技术.为了降低地震数据中某些频带范围的噪声对该算法的影响以及探索其能够识别的裂缝类型,本文采用基于频谱分解的蚂蚁追踪裂缝检测技术对玉北地区奥陶系鹰山组岩溶缝洞型储层进行裂缝检测.实际应用结果与钻井、岩心、成像测井、地层倾角测井等资料揭示的信息进行交互验证,表明该方法能够识别因地层挤压而产生的构造裂缝,且识别精度与全频带地震数据计算结果相比得到有效提高,同时也证实了该方法的有效性和实用性.
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| [13] | robertsa.curvatureattributesandtheirapplicationto3dinterpretedhorizons[j].firstbreak.2001,19(2):85-100
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| [14] | al-dossarys,marfurtkj.3dvolumetricmulti-spectralestimatesofreflectorcurvatureandrotation.geophysics,2006,71(5):41-51.
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| [18] | 龙旭,武林芳.蚂蚁追踪属性体提取参数对比试验及其在塔河四区裂缝建模中的应用.石油天然气学报,2011,33(5):76-83
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