录井工程 ›› 2020, Vol. 31 ›› Issue (2): 41-46.doi: 10.3969/j.issn.1672-9803.2020.02.008

• 工艺技术 • 上一篇    下一篇

加核Wigner-Ville时频谱分解技术在大港油区含气性检测中的应用

曾凡平, 赵亮, 徐甜, 李冰玲   

  1. ① 中国石油东方地球物理公司研究院大港分院;
    ② 中国石油大港油田公司资源评价处;
    ③ 中国石油大港油田公司油气开发处
  • 修回日期:2020-05-09 发布日期:2020-07-01
  • 作者简介:曾凡平 工程师,1983年生,2009年硕士研究生毕业于中国地质大学(武汉)地球探测与信息技术专业,现从事地震资料解释和储层预测等方面的研究工作。通信地址:300280 天津市滨海新区海滨街东方地球物理公司研究院大港分院。电话:(022)25965935。E-mail:zengfp2013@hotmail.com
  • 基金资助:
    中国石油天然气股份有限公司科学研究与技术开发项目“大港油区效益增储稳产关键技术研究与应用”(编号:2018E-11)

Application of decomposition technique of Wigner-Ville time-frequency spectrum with kernel function in gas content detection in Dagang Oilfield

ZENG Fanping, ZHAO Liang, XU Tian, LI Bingling   

  1. ① Dongfang Geophysical Research Institute Dagang Branch,CNPC;
    ② Resource Evaluation Office of Dagang Oilfield Company,CNPC;
    ③ Oil and Gas Development Office of Dagang Oilfield Company,CNPC
  • Revised:2020-05-09 Published:2020-07-01

摘要: 大港油田板桥地区气层埋藏较深,且地震主频较低,预测难度大。鉴于Wigner-Ville时频分布具有较高的时频局域性、分辨能力和聚能性,但其交叉项的存在对分辨能力有较大干扰,采用在模糊函数域加Choi-Williams核函数窗方式进行Wigner-Ville时频计算,通过理论信号分析加核Wigner-Ville时频分布能较好地抑制交叉项且能保持其原有的优良特性。在实际的含气层识别应用中,首先从已钻井出发,开展井旁地震道时频谱分析,归纳含气层的时频变化规律,然后提取地震分频剖面,研究分频剖面与含气层之间的对应关系,选择其气层识别的优势频率体,应用于含气性预测。理论信号和实际资料研究表明,加核Wigner-Ville时频谱分解技术在含气层检测中具有一定的可行性。

关键词: Wigner-Ville, 时频分布, 时频分析, 含气层, 大港油田, 板桥地区

Abstract: The gas reservoir is deeply buried in Banqiao area, Dagang Oilfield, and the low earthquake frequency makes it difficult to predict. Given the high time-frequency locality, resolving ability and energy-gathering ability of Winger-Ville time-frequency distribution, while its cross term greatly interferes the resolving ability, Choi-Williams kernel function window was added to the fuzzy function domain to calculate Wigner-Ville time-frequency. Analyzing kernel function added Wigner-Ville time-frequency distribution with theory signal can better restrain the cross term and maintain its original excellent characteristics. In practical application of gas bearing formation identification, first starting from drilled wells, carry out time-frequency spectrum analysis of seismic traces near the well, generalize the change rule of time-frequency of gas bearing formation, and extract seismic fractional frequency profile to study the correspondence between fractional frequency profile and gas bearing formation. Dominant frequency body in gas bearing formation identification was selected to apply to gas bearing prediction. Theory signal and actual data indicate that decomposition technique of Wigner-Ville time-frequency spectrum with kernel function has certain feasibility in gas bearing formation detection.

Key words: Wigner-Ville, time-frequency distribution, time-frequency analysis, gas bearing formation, Dagang Oilfield, Banqiao area

中图分类号: 

  • TE132.1
[1] 张波,王真理,周水生,等.谱分解在含气检测中的应用[J]. 地球物理学进展,2010,25(4):1360-1364.
ZHANG Bo,WANG Zhenli,ZHOU Shuisheng,et al.Application of spectral decomposition to gas detection[J]. Progress in Geophysics,2010,25(4):1360-1364.
[2] 张猛刚,洪忠,窦玉坛,等.时频分析在苏里格地区含气性检测中的应用[J]. 岩性油气藏,2013,25(5):76-80,85.
ZHANG Menggang,HONG Zhong,DOU Yutan,et al.Application of time-frequency analysis technology to the gas detection in Sulige area[J]. Lithologic Reservoirs,2013,25(5):76-80,85.
[3] 陈学华,贺振华,黄德济,等.时频域油气储层低频阴影检测[J]. 地球物理学报,2009,52(1):215-221.
CHEN Xuehua,HE Zhenhua,HUANG Deji,et al.Low frequency shadow detection of gas reservoirs in time-frequency domain[J]. Chinese Journal of Geophysics,2009,52(1):215-221.
[4] 陈雨红,杨长春,曹齐放,等.几种时频分析方法比较[J]. 地球物理学进展,2006,21(4):1180-1185.
CHEN Yuhong,YANG Changchun,CAO Qifang,et al.The comparison of some time-frequency analysis methods[J]. Progress in Geophysics,2006,21(4):1180-1185.
[5] 庞锐,刘百红,孙成龙.时频分析技术在地震勘探中的应用综述[J]. 岩性油气藏,2013,25(3):92-96,101.
PANG Rui,LIU Baihong,SUN Chenglong.Review on time-frequency analysis technique and its application in seismic exploration[J]. Lithologic Reservoirs,2013,25(3):92-96,101.
[6] 印兴耀,张奎,张广智.联合时频分布及其属性的应用[J]. 石油地球物理勘探,2003,38(5):522-526.
YIN Xingyao,ZHANG Kui,ZHANG Guangzhi.Application of joint time-frequency distribution and its attribution[J]. Oil Geophysical Prospecting,2003,38(5):522-526.
[7] JOHN P C,SUN S J,ROBERT W S.Instantaneous spectral analysis:Detection of low-frequency shadows associated with hydrocarbons[J]. The Leading Edge,2003,22(2):120-127.
[8] 才巨宏,顾汉明,邹文.S-变换时频技术在碳酸盐岩孔洞储层预测中的应用[J]. 地质科技情报,2005,24(4):111-113.
CAI Juhong,GU Hanming,ZOU Wen.Prediction of cave reservoir in carbonate rock using S-transform time-frequency technology[J]. Geological Science and Technology Information,2005,24(4):111-113.
[9] 王飞,边会媛,张永浩,等.Hilbert-Huang变换联合平滑伪Wigner-Ville时频分布识别储层流体性质[J]. 石油物探,2016,55(6):851-860.
WANG Fei,BIAN Huiyuan,ZHANG Yonghao,et al.Hilbert-Huang transform combined with smoothed pseudo Wigner-Ville time-frequency distribution to identify reservoir fluid properties[J]. Geophysical Prospecting for Petroleum,2016,55(6):851-860.
[10] 李丛,韩立国,李金泉,等.平滑Wigner-Ville谱分解技术在储层预测中的应用[J]. 世界地质,2012,31(4):813-818.
LI Cong,HAN Liguo,LI Jinquan,et al.Application of decomposition technique of smooth Wigner-Ville spectral in reservoir prediction[J]. Global Geology,2012,31(4):813-818.
[11] 赵迎月,顾汉明,李宗杰,等.Wigner-Ville高阶时频谱及其在塔中奥陶系缝洞型储层预测中的应用[J]. 石油地球物理勘探,2010,45(5):688-694.
ZHAO Yingyue,GU Hanming,LI Zongjie,et al.Wigner-Ville higher-order time-frequency spectrum and its application in prediction of Ordovician fractured-vuggy reservoir in Tazhong area[J]. Oil Geophysical Prospecting,2010,45(5):688-694.
[12] 杨海涛,朱仕军,文中平,等.基于Wigner-Ville的谱分解效果分析[J]. 勘探地球物理进展,2009,32(1):37-39.
YANG Haitao,ZHU Shijun,WEN Zhongping,et al.Effect analysis of spectral decomposition based on Wigner-Ville distribution[J]. Progress in Exploration Geophysics,2009,32(1):37-39.
[13] 张晓燕,彭真明,张萍,等.基于分数阶Wigner-Ville分布的地震信号谱分解[J]. 石油地球物理勘探,2014,49(5):839-845.
ZHANG Xiaoyan,PENG Zhenming,ZHANG Ping,et al.Spectral decomposition of seismic signal based on fractional Wigner-Ville distribution[J]. Oil Geophysical Prospecting,2014,49(5):839-845.
[14] 张贤达. 现代信号处理[M]. 北京:清华大学出版社,2002.
ZHANG Xianda.Modern signal processing[M]. Beijing:Tsinghua University Press,2002.
[15] CHOI H I,WILLIAMS W J.Improved time-frequency representation of multicomponent signals using exponential kernels[J]. IEEE Transactions on Acoustics Speech & Signal Processing,1989,37(6):862-871.
[16] 冯涛,袁超伟.跳频信号的几种Cohen类时频分布性能比较[J]. 通信对抗,2010(3):3-6,15.
FENG Tao,YUAN Chaowei.A comparison among several Cohen class' time-frequency distributions of frequency-hopping signals[J]. Communication Countermeasures,2010(3):3-6,15.
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