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基于时变子波的品质因子估计
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  • 英文篇名:Quality factor Q estimation based on time-varying wavelet
  • 作者:冯玮 ; 胡天跃 ; 常丁月 ; 崔永福 ; 彭更新
  • 英文作者:Feng Wei;Hu Tianyue;Chang Dingyue;Cui Yongfu;Peng Gengxin;School of Earth and Space Science,Peking University;Tarim Oilfield Company,PetroChina;
  • 关键词:品质因子 ; 吸收衰减 ; 时变子波 ; 谱比法 ; 分辨率
  • 英文关键词:Q estimation;;attenuation;;time-varying wavelet;;logarithmic spectral ratio;;resolution
  • 中文刊名:SYDQ
  • 英文刊名:Oil Geophysical Prospecting
  • 机构:北京大学地球与空间科学学院;中国石油塔里木油田公司;
  • 出版日期:2018-02-15
  • 出版单位:石油地球物理勘探
  • 年:2018
  • 期:v.53
  • 基金:国家“973”计划项目(2013CB228602);; 国家科技重大专项(2016ZX05004-003)联合资助
  • 语种:中文;
  • 页:SYDQ201801018
  • 页数:12
  • CN:01
  • ISSN:13-1095/TE
  • 分类号:9+147-157
摘要
地下介质的地层滤波效应和吸收衰减效应会使地震信号频带变窄、主频降低、相位畸变。在对非稳态地震记录进行时变子波估计的基础上,从频率域和时间域两方面研究子波的时变性与品质因子的关系。首先推导非稳态记录正演模拟的时间域实现方法,通过子波褶积矩阵表达传播子波的时变性;其次,基于最优化思想,在给定范围内扫描Q值,使深部和浅部两个传播子波达到最佳匹配,提出了频率域子波匹配Q值估计方法和时间域子波匹配Q值估计方法。相比于常用的谱比法,频率域子波匹配法不需要做谱比,并通过最小二乘优化算法替代线性回归,具有更高的抗噪性。时间域子波匹配法通过子波褶积矩阵引入衰减响应,从根本上避免谱估计的误差,具有更高的精度。理论模型和实际数据计算结果表明,两种方法都能快速有效地估计品质因子,与时变子波谱比法相比,对低信噪比数据具有更强的鲁棒性。同时,模型测试表明品质因子估计结果的纵向分辨率有限,两个子波间的时间间隔制约着估计精度。
        The stratigraphic filtering and viscoelasticity attenuation can cause narrower seismic frequency band,lower dominant frequency,and phase distortion.The Qestimation and inverse Qfiltering are important tools for attenuation compensation and resolution improvement.We propose a Qestimation methods for surface seismic datasets.The propagating wavelet is subject to stratigraphic filtering,viscoelastic attenuation,and concomitant dispersion,which causing timevarying characteristics.Firstly,the nonstationary seismic forward modeling is achieved in the time domain by wavelet convolve matrix,which shows the time-varying characteristics of propagating wavelet.Secondly,based on the estimation of time-varying propagating wavelets,we study the Q estimation from wavelets time-varying characteristics both in the time domain and frequency domain.The optimization method is used to scanning Qin order to minimize the difference between two wavelets at two different depths.The timevarying wavelet spectral match(TWSM)needs no spectral ratio or linear regression,therefore has better noise resistance than the logarithmic spectral ratio(LSR)method.The time-varying wavelet time-domain match(TWTM)has higher accuracy because of no spectral estimation.Tests on both synthetic and real data demonstrate that the two methods can achieve a fast Qestimation,and have better robust Qestimation on low SNR data than the time-varying wavelet logarithmic spectral ratio(TWLSR).The synthetic data examples also show relation between the Qestimation accuracy and the time interval of two wavelets,which means the Qestimation has resolution limitation.
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