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应用地球物理  2011, Vol. 8 Issue (2): 164-169    DOI: 10.1007/s11770-011-0282-4
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小波变换在裂缝识别和裂缝密度评价中的研究
张晓峰1,潘保芝1,王飞1,韩雪1
1. 吉林大学地球探测科学与技术学院,吉林长春 130026
A study of wavelet transforms applied for fracture identifi cation and fracture density evaluation
Zhang Xiao-Feng1, Pan Bao-Zhi1, Wang Fei1, and Han Xue1
1. College of GeoExplaration Science and Technology, Jilin University, Changchun 130026, China.
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摘要 通过常规测井曲线小波变换来评价裂缝参数是一个较新的研究课题。本文针对火山岩裂缝储层,对常规测井曲线做coif5、bior4.4和db5基小波的小波变换,通过变换后的分解信号与成像测井裂缝密度的对比研究,寻找出与裂缝密度相匹配的基小波,再将常规测井曲线在这个基小波下的分解信号与曲线变化率法相结合建立裂缝指示曲线来识别裂缝发育段,最后通过裂缝指示曲线与成像测井的裂缝密度之间的量化关系来比较准确的评价裂缝密度。将裂缝指示曲线法在松辽盆地南部进行了应用,通过裂缝指示曲线求取的裂缝密度与成像测井的裂缝密度之间的相对误差为0.53。
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张晓峰
潘保芝
王飞
韩雪
关键词小波变换   裂缝识别   曲线变化率   裂缝密度     
Abstract: Combining wavelet transforms with conventional log differential curves is used to identify fractured sections is a new idea. In this paper, we first compute the mother wavelet transform of conventional logs and the wavelet decomposed signals are compared with fractures identified from image logs to determine the fracture-matched mother wavelet.Then the mother wavelet-based decomposed signal combined with the differential curves of conventional well logs create a fracture indicator curve, identifying the fractured zone.Finally the fracture density can be precisely evaluated by the linear relationship of the indicator curve and image log fracture density. This method has been successfully used to evaluate igneous reservoir fractures in the southern Songnan basin and the calculated density from the indicator curve and density from image logs are both basically consistent.
Key wordsWavelet transform   fracture identification   differential curves   fracture density   
收稿日期: 2010-09-15;
基金资助:

国家科技重大专项(编号:2008ZX05009-001)资助。

引用本文:   
张晓峰,潘保芝,王飞等. 小波变换在裂缝识别和裂缝密度评价中的研究[J]. 应用地球物理, 2011, 8(2): 164-169.
ZHANG Xiao-Feng,PAN Bao-Zhi,WANG Fei et al. A study of wavelet transforms applied for fracture identifi cation and fracture density evaluation[J]. APPLIED GEOPHYSICS, 2011, 8(2): 164-169.
 
[1] Dutta, P., Singh, S. K., Al-Genai, J., Akhtar, A., and Akbar, M., 2007, A novel approach to fracture characterization utilizing borehole seismic data: 15th SPE Middle East Oil &Gas Show and Conference, Bahrain, Paper SPE 105427 (6 pp).
[2] 葛哲学, 陈仲生, 2006, Matlab时频分析技术及其应用: 人民邮电出版社, 北京, 9 - 10.
[3] 高伟, 王允诚, 徐静, 伍国勇, 冯雪龙, 2008, 小波分析在测井裂缝识别中的应用: 西南石油大学学报, 30(1), 51 - 53.
[4] Li, N., Wu, H. L., Feng, Q. F., Wang, K. W., Shi, Y. J., Li, Q. F., and Luo, X. P., 2009, Matrix porosity calculation in volcanic and dolomite reservoirs and its application: Applied Geophysics, 6(3), 287 - 298.
[5] Mohebbi, A. R., Haghighi, M., and Sahimi, M., 2007, Using conventional logs for fracture detection and characterization in one of Iranian field: International Petroleum Technology Conference held in Dubai, UAE., Paper IPTC 11186.
[6] Pan, B. Z., Xue, L. F., Huang, B. Z., Yan, G. J., and Zhang, L. H., 2008, Evaluation of volcanic reservoirs with the “QAPM mineral model” using a genetic algorithm: Applied Geophysics, 5(1), 1 - 8.
[7] 潘保芝, 薛林福, 李舟波, 吴海波, 2003, 裂缝性火成岩储层测井评价方法与应用: 石油工业出版社, 北京, 45 - 46.
[8] Sahimi, M., and Hashemi, M., 2001, Wavelet identification of the spatial distribution of fractures: Geophys. Reserv. Lett., 28(4), 611 - 614.
[9] 孙建孟, 刘蓉, 梅基席, 申辉林, 青海柴西地区常规测井裂缝识别方法: 测井技术, 1999, 23(4), 268 - 272.
[10] Tokhmechi, B., Memarian, H., Rasouli, V., Ahmadi, H., Noubari, A., and Moshir, B., 2009, Fracture detection from water saturation log data using a Fourier-wavelet approach: Journal of Petroleum Science and Engineering, 69, 129 - 138.
[11] 王允诚, 1992, 裂缝性致密油气储集层: 石油工业出版社, 北京, 117 - 120.
[12] Wu, Q. L., Zhao, H. B., Li, L. L., and Fan, X. C., 2008, Analysis of rock physics response of gas-bearing volcanic reservoir based on three-phase poroelastic theory: Applied Geophysics, 5(4), 277 - 283.
[13] Yue, W. Z., and Tao, G., 2006, A new method for reservoir fluid identification: Applied Geophysics, 3(2), 124 - 129.
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