地震数据网格化方法研究
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摘要
离散数据网格化是科学和工程研究领域中数据处理的核心技术,同时它也是科学可视化的前提。由于经济和地理条件的限制,在实际数据采集过程中采集到的地震数据是有限的,因此在处理地震数据的过程中进行数据补插网格化是必不可少的。本文介绍了四类网格化方法:趋势面拟合、插值、综合法(残差叠加法)、克里金法(Kriging),重点阐述了Kriging方法及其在地震数据网格化中的应用。
The gridding of discrete data is the kernel technique of data processing methods in scientific and engineering research.Meanwhile, it is the base of scientific visualization.Owing to the limitation of the economic and geographical conditions,the seismic data we gathered are limited compared to the large area we have studied,so data gridding is necessary in seismic data processing.The article discusses four kinds of gridding methods: trend surface fitting,interpolation,remnant error and kriging.Here we put emphasis on Kriging method and its application in seismic data processing.
The gridding of discrete data is the kernel technique of data processing methods in scientific and engineering research.Meanwhile, it is the base of scientific visualization.Owing to the limitation of the economic and geographical conditions,the seismic data we gathered are limited compared to the large area we have studied,so data gridding is necessary in seismic data processing.The article discusses four kinds of gridding methods: trend surface fitting,interpolation,remnant error and kriging.Here we put emphasis on Kriging method and its application in seismic data processing.
引文
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[2]文雅,郭治兴.应用Win-Surfer软件绘制降水等值线图[J].土壤与环境,2002,11(4):360-362.
[3]蔡玉华.达里亚工业区速度体建立中几种网格化方法的对比分析[J].石油物探,1995,34(4):100-108.
[4]张美根.非规则网带断层地震数据的网格化[J].地球物理学进展,1999,14(1):69-76.
[5]F J Seron,J I Badal,F J Sabadell.Spatial predictionprocedures for regionalization and 3-D imaging ofEarth structures[J].Physics of the Earth and Plane-tary Interiors,2001,123:149-168.
[6]C D Lloyd,P M Atkinson.Increased accuracy of geo-logical prediction of nitrogen Dioxide in the UnitedKingdom with secondary data[J].International Jour-nal of Applied Earth Observation and Geoinforma-tion,2004,(5):294-305.
[7]范银贵.空间插值方法在绘制降水量等值线中的应用[J].水利水电科技进展,2002,22(4):48-50.
[8]马田生,张林山.趋势面分析在山西朔州王坪井田构造研究中的应用[J].新疆地质,2004,22(1):107-110.
[9]胡光海,周兴华.趋势面分析在水深测量数据处理中的应用[J].测绘工程,2004,13(3):23-25.
[10]颜辉武,祝国瑞,徐智勇.基于动态Voronoi图的距离倒数加权法的改进研究[J].武汉大学学报(信息科学版),2004,29(11):1017-1020.
[11]王峰堂,宫辉力,赵文吉.地下水水位等值线数值的计算方法及其机助制图[J].首都师范大学学报(自然科学版),2004,25(1):85-89.
[12]Franked R,G Nilson.Smooth interpolation to largesets of scattered data[J].International JournalforNumerical MethodsinEngineering,1980,15:1691-1704.
[13]Steven Zoraster.A surface modeling algorithm de-signed for speed and ease of use with all petroleumindustry data[J].Computers&Geosciences,2003,29:1175-1182.
[14]刘峰.应用Kriging算法实现气象资料空间内插[J].气象科技,2004,32(2):110-115.
[15]马云潜,汪步紧,陈慧蓉.用地震资料提高储层参数插值精度的新方法3 D协克里格与主成分下沉法[J].石油地球物理勘探,2000,35(2):164-169.
[16]C D Lloyd,P M Atkinson.Assessing uncertainty inestimate with ordinary and indicator Kriging[J].Computers&Geosciences,2001,27:927-937.
[17]王政权.地统计学及在生态学中的应用[M].北京:科学出版社,1999.
[18]候景儒,郭光裕.矿床统计预测及地质统计学的理论与应用[M]北京:冶金工业出版社,1993.
[19]徐振邦,娄元仁.数学地质基础[M].北京:北京大学出版社,1994.
[20]王仁铎,胡光道.线性地质统计学[M].北京:地质出版社,1988.
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