Abstract：The 3D random noise attenuation (3D-RNA) is a spatial prediction filtering, which is widely applied to poststack seismic data in the Junggar Basin.With the linearity assumption of events in a short distance, this method improves strong energy signal-to-noise ratio (SNR), but it damages weak energy signals and blurs signals which are relative to faults and cracks.Therefore, a denoising method based on 3D anisotropic Laplacian filtering is proposed to solve these problems.Tests on model and real seismic data show that the proposed method is better than 3D-RNA in random noise suppression.Not only seismic data SNR is improved, but also weak signals are preserved.Meanwhile, geological-body edge characteristics become clearer and better fault imaging is achieved.The proposed method has been successfully applied in different areas in the Junggar Basin.This research provides a solid foundation for further reservoir inversion and seismic interpretation.
刘宏杰, 毛海波, 杨晓海, 李文捷, 蒋立. 基于三维各向异性拉普拉斯滤波的随机噪声压制方法及应用[J]. 石油地球物理勘探, 2019, 54(3): 522-528.
LIU Hongjie, MAO Haibo, YANG Xiaohai, LI Wenjie, JIANG Li. 3D anisotropic Laplacian filtering based random seismic noise suppression. Oil Geophysical Prospecting, 2019, 54(3): 522-528.
苏爱芹, 郑宇霞, 魏广仁, 等.复杂小断块综合研究技术[J].断块油气田, 2011, 18(4):472-474.SU Aiqin, ZHENG Yuxia, WEI Guangren, et al.Integrated study technique of small complex fault block[J].Fault-Block Oil & Gas Field, 2011, 18(4):472-474.
[2]
唐建华, 郭勇, 虞敏.准噶尔盆地腹部沙漠区低幅度构造和小断裂的正演模拟与识别[C].CPS/SEG国际地球物理会议论文集, 2004, 507-510.TANG Jianhua, GUO Yong, YU Min.Forward mode-ling and identification of low amplitude structure in the hinterland desert area in the Zhunggar Basin[C].Proceedings of 2004 CPS/SEG International Geophysical Conference, 2004, 507-510.
[3]
孙成田, 赵伟, 雷福平, 等.多属性分析及断裂识别技术在酒泉盆地油气勘探中的应用[J]. 石油地球物理勘探, 2017, 52(增刊2):170-174.SUN Chengtian, ZHAO Wei, LEI Fuping, et al.Applications of multi-attribute analysis and fault identification approach in the oil and gas exploration of Jiu-quan Basin[J]. Oil Geophysical Prospecting, 2017, 52(S2):170-174.
[4]
Harris P E, White R E.Improving the performance of f-x prediction filtering at low signal-to-noise ratios[J].Geophysical Prospecting, 1997, 45(2):269-302.
[5]
Bekara M, van der Baan M.Local singular value decomposition for signal enhancement of seismic data[J].Geophysics, 2007, 72(2):V59-V65.
[6]
李新祥, 李凤林.三维FXY预测滤波[C].中国地球物理学会第十届学术年会, 吉林长春, 1994, 397-398.LI Xinxiang, LI Fenglin.3-D FXY predictive filtering[C].The 10th Annual Academic Annual Meeting of the China Geophysical Society, Changchun, Jilin, 1994, 397-398.
[7]
Michael K Chase著;游有志译.应用三维空间预测滤波压制随机噪声//美国勘探地球物理学家学会第62届年会论文集[M].北京:石油工业出版社, 1993, 461-463.
[8]
国九英, 周兴元, 杨慧珠.三维f-x, y域随机噪音衰减[J].石油地球物理勘探, 1995, 30(2):207-215.GUO Jiuying, ZHOU Xingyuan, YANG Huizhu.Atte-nuation of random noise in (f-x, y) domain.Oil Geophysical Prospecting, 1995, 30(2):207-215.
孙哲, 王建锋, 王静, 等.基于时空变中值滤波的随机噪声压制方法[J].石油地球物理勘探, 2016, 51(6):1094-1102.SUN Zhe, WANG Jianfeng, WANG Jing, et al.Random noise elimination based on the time-space variant median filtering[J].Oil Geophysical Prospecting, 2016, 51(6):1094-1102.
[11]
刘宏杰, 蒋立, 张仲祜, 等.基于能量差异的滑动扫描数据谐波压制方法[J], 新疆石油地质, 2015, 36(1):98-101.LIU Hongjie, JIANG Li, ZHANG Zhonghu, et al.Method for harmonic noise suppression of slip scan data based on energy difference[J].Xinjiang Petro-leum Geology, 2015, 36(1):98-101.
[12]
刁瑞, 吴国忱, 尚新民, 等.地面微地震有源噪声自动识别与匹配压制方法[J]. 石油地球物理勘探, 2018, 53(2):311-319.DIAO Rui, WU Guochen, SHANG Xinmin, et al.Micro-seismic active noise automatic identification and ma-tching denoising[J].Oil Geophysical Prospecting, 2018, 53(2):311-319.
[13]
Luo Y, Marhoon M, Al Dossary S, et al.Edge-preserving smoothing and applications[J].The Leading Edge, 2002, 21(2):136-158.
[14]
AlBinHassan N M, Luo Y, Al-Faraj M N.3D edge-preserving smoothing and applications[J].Geophy-sics, 2006, 71(4):P5-P11.
[15]
Fehmers G C, Hocker C F W.Fast structural interpretation with structure-oriented filtering[J].Geo-physics, 2003, 68(4):1286-1293.
[16]
Lavialle O, Pop S, Germain C, et al.Seismic fault preserving diffusion[J].Journal of Applied Geophysics, 2007, 61(2):132-141.
[17]
黄德智, 毛锐强, 王庚, 等.利用GeoEast系统处理低信噪比地震资料[J].石油地球物理勘探, 2014, 49(增刊1):76-81.HUANG Dezhi, MAO Ruiqiang, WANG Geng, et al.Low-SNR seismic data processing by GeoEast[J].Oil Geophysical Prospecting, 2014, 49(S1):76-81.
[18]
吴艳辉, 唐博文, 柯本喜, 等.GeoEast多次波压制技术在陆上地震资料处理中的应用[J].石油地球物理勘探, 2014, 49(增刊1):93-98.WU Yanhui, TANG Bowen, KE Benxi, et al.Multiple elimination methods provided by GeoEast for land seismic data[J].Oil Geophysical Prospecting, 2014, 49(S1):93-98.
[19]
王伟, 姜呈馥, 张丽霞, 等.一种边界保持随机噪声衰减的各向异性拉普拉斯滤波技术[J].中国煤炭地质, 2015, 27(9):61-66.WANG Wei, JIANG Chengfu, ZHANG Lixia, et al.An anisotropic Laplace filtering technology with edge random noise attenuation retaining[J].Coal Geology of China, 2015, 27(9):61-66.
[20]
Bakker P.Image Structure Analysis for Seismic Inter-pretation[D].Technische Universiteit, Delft, the Netherlands, 2002.
