The application of the matched filtering technology to the separation of the deep source field from the shallow source field has been widely used in the processing of gravity and magnetic data. Based on Green's equivalent layer principle, the authors designed a multi-layer Green's equivalent layer model, and then performed fine linear fitting for radial average logarithmic power spectrum, thus realizing the separation of the deep source field from the shallow source field. The comparative analysis of the theoretical model and the practical data shows that this method is simple and practical. It can separate the deep source field from the shallow source field rapidly and effectively in large-area aerial gravity measurement, and can provide important reference basis for the study of the gravity anomaly characteristics and deep structure features, the division of geotectonic units and the determination of the strike of the faulted zone and the geological structure.
王明, 王林飞, 何辉. 匹配滤波技术分离重力场源[J]. 物探与化探, 2015, 39(S1): 126-132.
WANG Ming, WANG Lin-Fei, HE Hui. The application of the matched filtering technology to the separation of gravity field sources. Geophysical and Geochemical Exploration, 2015, 39(S1): 126-132.
[1] Spector A, Grant F S. Statistical models for interpreting aeromagnetic data[J]. Geophysics, 1970,35(2):293-302.[2] Archibald N, Gow P, Boschetti F. Multiscal edge analysis of potential field data[J]. Exploration Geophysics,1999,30(2):38-44.[3] Holden D J, Archibald N J, Boschetti F, Jessell M W. Infering geological structures using wavelet-based multiscale edge analysis and forward models[J]. Exploration geophysics,2001, 31(4):67-71.[4] Marlet G, Sailhac P, Moreau F, Diament M. Characterization of geological boundaries using 1-D wavelet transform on gravity data: Theory and application to the Himalayas[J].Geophysics, 66(4):1116-1129.[5] 侯重初.补偿圆滑滤波方法[J].石油物探,1981,(2):22-29.[6] 安玉林,管志宁.滤波高频干扰的正则化稳定因子[J].物探化探计算技术,1985,7(1):13-23.[7] Pawlowski R S, Hansen R O. Gravity anomaly separation by Wiener filtering[J]. Geophysics,1990, 55(5):539-548.[8] Pawlowski R S. Green's equivalent-layer concept in gravity band-pass filter design[J]. Geophysics,1994,55(5):69-76.[9] Pawlowski R S.Preferential continuation for potential-field anomaly enhancement[J]. Geophysics, 1995,60(2):390-398.[10] Zeng H, Xu D, Tan H. A model study for estimating optimum upward-continuation height for gravity separation with application to a Bouguer gravity anomaly over a mineral deposit, Jilin province, northeast China[J]. Geophysics,2008, 72(4):145-150.[11] Meng X H, Guo L H, Chen Z X, et al. A method for gravity anomaly separation based on preferential continuation and its application[J]. Applied Geophysics,2009,6(3):217-225.[12] 侯尊泽,杨文采.中国重力异常的小波变换与多尺度分析[J].地球物理学报,1997,40(1):85-95.[13] Fedi M, Quarta T. Wavelet analysis for the regional-residual and local separation of potential field anomalies[J]. Geophysical Prospecting,1998,46(5):507-525.[14] Keating P, Pinet N. Use of non-linear filtering for the regional-residual separation of potential field data[J]. Journal of Applied Geophysics,2011,73(4):315-322.[15] Nikitin A A, Vasov O K, Belov A P, et al. Vozmozhnosti kompleksnoy geofizicheskoy interpretatsii na baze entropiynogo filtra[J]. Izvestiya Akademii Nauk Turkmenskoy SSR. Seriya Fiziko-Tekhnicheskikh,Khimicheskikhi Geologicheskikh Nauk (in Russia),1984,2:79-82.[16] Naidu P. Spectrum of the potential field due to randomly distributed sources[J].Geophysics, 1968,33:337-345.[17] Pedersen L B. Relations between potential fields and some equivalent sources[J].Geophysics, 1991,56(7):961-971.[18] 刘青松,王宝仁.应用多次匹配滤波技术进行垂向位场分离[J].物探化探计算技术,1996,18(4): 279-286.[19] 王宝仁,刘青松.用于位场处理中的优先操作滤波器设计[J].地球科学:中国地质大学学报,1996,22 (6):656-660.[20] 许德树,曾华霖.优选延拓技术及其在中国布格重力异常图处理上的应用[J].现代地质,2000,14(2): 215-222.[21] 郭良辉,孟小红,石磊,等.优化滤波方法及其在中国大陆布格重力异常数据处理中的应用[J].地球物理学报,2012,55(12):4078-4088.[22] 管志宁.地磁场与磁力勘探[M].北京:地质出版社,2005:191-193.[23] Tian X B, Liu Z, Si S K, et al. The crustal thickness of NE Tibet and its implication for crustal shortening[J].Tectonophysics,2014,634:198-207.