起伏地表物理模拟的水面无接触快速采集方法
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摘要
由于实验室条件的限制,针对起伏地表的物理模拟采集直接在固体表面进行,存在实现难度大、采集速度慢、耦合误差大的缺点。为此,本文基于波场重构原理,提出了一种针对起伏地表的水面无接触快速采集方法,通过直接在水面进行观测、采集,然后由水面观测的地震数据重构固体表面的观测地震数据。该方法将数值模拟和物理模拟结合,既保留了物理模拟的真实性,又利用了数值模拟的易操作性,能够克服起伏地表物理模拟采集难度大、采集速度慢的问题,大大提高了起伏地表物理模拟采集的精度和效率。论文实验部分对数值模型和物理模型分别进行固体观测和水面观测,通过对两种采集方法得到的固体观测地震记录进行比较,证明了该方法的优越性。
Conventional acquisition on physical models with rugged topography is directly implemented on model surface.This solid acquisition approach usually causes complicated operating process,slow acquisition speed and large coupling error due to the limitation of laboratory conditions.To solve these problems,this paper proposes a novel non-contact water acquisition approach for physical modeling on rugged topographical models.It calculates the solid acquisition data from water acquisition data.With the authenticity of physical modeling and the flexibility of numerical modeling,this water-surface acquisition approach can solve the problems.In addition,it can also improve the efficiency and data accuracy in the acquisition process.The solid acquisition and water-surface acquisition are implemented on rugged topography models,which are simulated by both numerical modeling and physical modeling,to verify the superiority of this approach.
Conventional acquisition on physical models with rugged topography is directly implemented on model surface.This solid acquisition approach usually causes complicated operating process,slow acquisition speed and large coupling error due to the limitation of laboratory conditions.To solve these problems,this paper proposes a novel non-contact water acquisition approach for physical modeling on rugged topographical models.It calculates the solid acquisition data from water acquisition data.With the authenticity of physical modeling and the flexibility of numerical modeling,this water-surface acquisition approach can solve the problems.In addition,it can also improve the efficiency and data accuracy in the acquisition process.The solid acquisition and water-surface acquisition are implemented on rugged topography models,which are simulated by both numerical modeling and physical modeling,to verify the superiority of this approach.
引文
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[10]刘洋,李承楚,牟永光.任意偶数阶精度有限差分数值模拟.石油地球物理勘探,1998,33(1):1-11.Liu Yang,Li Chengchu and Mou Yongguang.Finitedifference numerical modeling of any even-order accuracy.OGP,1998,33(1):1-11.
[11]Liu Yang,Sen M K.Time-space domain finite-difference method with arbitrary even-order accuracy for the 2Dacoustic wave equation.Journal of Computational Physics,2013,232(1):327-345.
[2]黄自萍,徐伶俐,周继顺.起伏地表声波方程的数值模拟.石油地球物理勘探,2006,41(3):275-280.Huang Ziping,Xu Lingli,Zhou Jishun.Numeric simulation of acoustic equation on relief surface.OGP,2006,41(3):275-280.
[3]赵群.起伏地表的物理模型实验技术.中国地球物理学会第22届年会论文集,2006.
[4]魏建新,狄帮让.起伏地表地震物理模型测试技术.石油地球物理勘探,2006,41(6):619-625.Wei Jianxin and Di Bangrang.Test technique of seismic physical model for relief surface.OGP,2006,41(6):619-624.
[5]Cary P W.Aliasing and 5Dinterpolation with the MWNI algorithm.SEG Technical Program Expanded Abstracts,2011,30:3080-3084.
[6]Cary P W,Perz M.5Dleakage:measuring what 5D interpolation misses.SEG Technical Program Expanded Abstracts,2012,31:3285-3289.
[7]Wang J F,Wang S W.Hybrid 5DFourier transforma flexible tool for land data interpolation.SEG Technical Program Expanded Abstracts,2013,32:3603-3607.
[8]严红勇,刘洋.基于时空域自适应高阶有限差分的声波叠前逆时偏移.地球物理学报,2013,56(3):971-984.Yan Hongyong,Liu Yang.Acoustic prestack reverse time migration using the adaptive high-order finitedifference method in time-space domain.Chinese Journal of Geophysics,2013,56(3):971-984.
[9]严红勇.粘弹性介质地震波场数值模拟与叠前逆时偏移方法研究[博士学位论文].北京:中国石油大学(北京)物探系,2012.Yan Hongyong.Study on Numerical Modeling of Seismic Wavefields in Viscoelastic Media and Prestack Reverse-time Migration[D].Beijing:China University of Petroleum(Beijing),2012.
[10]刘洋,李承楚,牟永光.任意偶数阶精度有限差分数值模拟.石油地球物理勘探,1998,33(1):1-11.Liu Yang,Li Chengchu and Mou Yongguang.Finitedifference numerical modeling of any even-order accuracy.OGP,1998,33(1):1-11.
[11]Liu Yang,Sen M K.Time-space domain finite-difference method with arbitrary even-order accuracy for the 2Dacoustic wave equation.Journal of Computational Physics,2013,232(1):327-345.
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