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石油测井数据对调制噪声的响应 被引量:2

Respond of petroleum log data to modulation noise
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摘要 石油测井面临的难题主要体现在数据传输和数据采集2个方面。随着测井仪器的日益成熟及测井数据精度要求的越来越高,数据传输误差大的难题也就越来越突出,而此前却一直未得到研究人员的重视。通过建立随机信号模型,将噪声和信号以相乘的形式引入,不仅使信噪比大大提高,还使总信号功率极大地得到提升,从一定程度上解决了测井中信号的误差问题。 The problems of the petroleum logging mainly indwell in the data acqiusition and the data transmission.With the development of the technology in logging instrument,more and more precision logging data are acquired.At the same time,the errors are more evident and more evident in data transmission.By establishing the random signal model and introducing the noise and signal in the form of their product,signal-noise ratio has been raised apparently and total signal power has been promoted greatly.The problems of signal errors in logging have been resolved to a certain degree.
出处 《断块油气田》 CAS 2007年第2期83-85,共3页 Fault-Block Oil & Gas Field
关键词 石油测井 数据采集 调制噪声 朗之万方程 随机信号 信噪比 petroleum logging,data acquisition,modulation noise,langevin equation,random signal,signal-noise ratio.
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  • 1韩立波,曹力,吴大进,王俊.信号直接调制下色关联噪声驱动的单模激光的随机共振[J].物理学报,2004,53(7):2127-2132. 被引量:21
  • 2戚风云,赵乐军,周又玲.分布式光纤测温系统及高速数据采集与处理[J].传感器技术,2005,24(11):62-64. 被引量:16
  • 3黄德修.半导体光电子学[M].成都:电子科大出版社,1994.56.
  • 4江永胜.在线FFT分析对通讯电缆品质参数的保障意义及其延伸[A]..2001年中国电工技术学会电线电缆专委会论文集[C].,.138—146.
  • 5中国电子科技集团公司第二十二研究所.[Z].,2001(资料)..
  • 6Benzi R,Sutera A and VulpianiA 1981J.Phys.A:Math.Gen.14 L453
  • 7Gammaltoni L,Haggi P,Jung P and Marchesoni F 1998 Rev.Mod.Phys.70 223
  • 8McNamara B and Wiesenfeld K 1989 Phys.Rev.A 39 4854
  • 9Hu G and Nicolis C 1990 Phys.Rev.A 42 2030
  • 10Hu G,Haken H and Ning C Z 1992 Phys.Lett.A 172 21

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  • 1孙夕平,杜世通,汤磊.相干增强各向异性扩散滤波技术[J].石油地球物理勘探,2004,39(6):651-655. 被引量:51
  • 2王绪松,杨长春.对地震图像进行保边滤波的非线性各向异性扩散算法[J].地球物理学进展,2006,21(2):452-457. 被引量:35
  • 3邓瑞,郭海敏,戴家才,李向阳,高勇德.调制噪声在石油测井数据采集中的应用[J].石油仪器,2006,20(6):65-67. 被引量:4
  • 4Perona P,Malik J. Scale-space and edge detection using anisotropicdiffusion [J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990,12 (7) : 629-639.
  • 5Carte F, Lions P L, Morel J M, et al. hnage selective smoothing and edge detection by nonlinear diffusion [J]. SIAM Journal on Numerical Analysis, 1992,29( 1 ) : 182-193.
  • 6Black M J ,Sapiro G,Marimont D H ,et al. Robust anisotropic diffusion [J ]. IEEE Transaetion on hnage Processing, 1998,7 (3) : 421-432.
  • 7Giboa G ,Sochen N ,Zeevi Y Y. hnage enhancement and de-noising by complex .diffusion processes [J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004,26 (8) : 1020-1036.
  • 8Fechmers G C, Hocker C F W. Fast structure interpretation with structure-oriented filtering [ J ], Geophysics. 2003,68 (4) : 1286-1293.
  • 9Lavialle O, Pop S, Germain C, et al. Seismic fault preserving diffhsion[ J]. Journal of Applied Geophysics, 2007,61 (2) : 132-141.
  • 10Kadlee B J,Dorn G A,Tufo H M. Confidence and c'urvature-guided level sets for channel segmentation [C]//SEG. 78th Annual International Meeting. Tulsa : SEG Expanded Abstracts,2008 : 883-897.

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