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基于随机函数数据重构的分频异常振幅衰减技术在巨厚黄土塬区的应用 被引量:13

Frequency-division abnormal amplitude attenuation after data reconstruction based on random function and its application in the very thick loess tableland area,Ordos Basin
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摘要 鄂尔多斯盆地南部黄土塬区因巨厚黄土层覆盖的影响,地震资料通常存在很强的小炮检距强能量噪声和浅层宽频强折射噪声。针对此类噪声目前常用的去噪方法有相干噪声压制法和分频异常振幅衰减法,但实际应用中常存在信噪分离能力不足、边界效应、空间假频等问题。鉴于黄土塬区地下反射层平缓、同相轴倾角小、在同一时间层位上有效信号的能量级别差异有限的特点,采用随机函数数据重构方法,将小炮检距强能量噪声和浅层宽频强折射噪声转变成随机强能量噪声的形式,再利用分频异常振幅衰减法进行有效压制。实际资料应用结果表明,该方法具有去噪效果好、振幅保真度高的特点,能更好地解决巨厚黄土塬区噪声压制问题,显著改善地震资料的信噪比。 In the southern part of the Ordos Basin,the Loess Tableland features a particularly thick loess layer.Seismic data usually exhibit a strong small-offset strong energy noise,as well as a shallow broadband strong refraction noise.The coherent noise suppression and the frequency-division abnormal amplitude attenuation are commonly utilized noise suppression methods in these cases.However,in practical applications,these methods do not perform well in terms of signal-noise separation,and they exhibit boundary effects and spatial spurious frequencies.The Loess Tableland is characterized by flat layers,small reflection dip angles,and limited energy variations in the effective signal during a recording time interval.Therefore,a data reconstruction method based on random function is utilized to transform the small-offset strong energy noise and the shallow broadband strong refraction noise into a random strong energy noise,which can be suppressed using the frequency-division abnormal amplitude attenuation.The application to experimental data showed that the method can solve the problem of noise suppression and improve the signal-to-noise ratio of the seismic data in areas of the Loess Tableland with thick loess layers.
作者 陈超群 田媛媛 高秦 王智茹 惠智雄 罗文山 CHEN Chaoqun;TIAN Yuanyuan;GAO Qin;WANG Zhiru;HUI Zhixiong;LUO Wenshan(Changqing Branch,GRI,BGP,Xi’an 710021,China;Research Institute,GRI,BGP,Zhuozhou 072751,China)
出处 《石油物探》 EI CSCD 北大核心 2019年第5期741-749,共9页 Geophysical Prospecting For Petroleum
基金 国家重大科技专项(2017ZX05069) “长庆油田5000万吨持续高效稳产关键技术研究与应用”课题三(2016E-0503)共同资助the National Science and Technology Major Project of China(Grant No.2017ZX05069) Third Topic of“Research and Application of Key Technologies for Sustainable,High Efficiency and Stable Production of 50Million Tons in Changqing Oil Field”(Grant No.2016E-0503)
关键词 黄土塬区 强能量 小炮检距 强折射 随机函数 数据重排 分频异常振幅衰减 loess tableland strong energy small offset strong refraction random function data rearrangement frequency-division abnormal amplitude attenuation
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