石油学报 ›› 2015, Vol. 36 ›› Issue (2): 182-187.DOI: 10.7623/syxb201502006

• 地质勘探 • 上一篇    下一篇

改进Stockwell变换法识别碳酸盐岩溶洞——以鄂尔多斯盆地奥陶系溶洞发育段为例

张繁昌1, 李灿灿1, 徐旺林2   

  1. 1. 中国石油大学地球科学与技术学院 山东青岛 266555;
    2. 中国石油勘探开发研究院 北京 100083
  • 收稿日期:2014-08-07 修回日期:2014-12-13 出版日期:2015-02-25 发布日期:2015-02-05
  • 通讯作者: 张繁昌,男,1972年2月生,1994年获石油大学(华东)勘查地球物理专业学士学位,2004年获石油大学(华东)地质资源与地质工程专业博士学位,现为中国石油大学(华东)教授,主要从事地震信号处理和储层预测等方面的教学与研究工作。Email:zhangfch@upc.edu.cn
  • 作者简介:张繁昌,男,1972年2月生,1994年获石油大学(华东)勘查地球物理专业学士学位,2004年获石油大学(华东)地质资源与地质工程专业博士学位,现为中国石油大学(华东)教授,主要从事地震信号处理和储层预测等方面的教学与研究工作。Email:zhangfch@upc.edu.cn
  • 基金资助:

    国家重大科技专项(2011ZX05004-002)资助。

Identification of carbonate karst caves using modified Stockwell transform method:a case study of Ordovician karst caves in Ordos Basin

Zhang Fanchang1, Li Cancan1, Xu Wanglin2   

  1. 1. School of Geoscience, China University of Petroleum, Shandong Qingdao 266555, China;
    2. PetroChina Research Institution of Petroleum Exploration & Development, Beijing 100083, China
  • Received:2014-08-07 Revised:2014-12-13 Online:2015-02-25 Published:2015-02-05

摘要:

鄂尔多斯盆地奥陶系碳酸盐岩比较发育,主要储集空间为溶蚀孔洞,但其尺度较小,因地震数据分辨率较低,直接利用地震资料预测溶蚀孔洞发育段比较困难。首先对Stockwell变换(S变换)引入调节因子,使高斯窗随频率的变化减慢,从而提高S变换时频谱的时间分辨率。在此基础上,对改进S变换时频谱进行子波谱拟合,得到聚集性更好的时频谱,从中提取地层吸收属性剖面,对碳酸盐岩溶蚀洞穴进行预测。通过实际资料的处理分析结果看出,对改进S变换的时频谱进行子波谱拟合后,不论是左斜率还是右斜率法,均能获取稳定的吸收属性剖面,而且都能够清晰地刻画出溶洞发育段的位置。

关键词: 改进Stockwell变换, 子波谱拟合, 吸收属性, 碳酸盐岩, 溶蚀洞穴

Abstract:

Ordovician carbonate is relatively developed in Ordos Basin, and its main reservoir space is corrosion caves. However, due to the small size of caves, it is difficult to predict the corrosion zone using the seismic data with low resolution. In this study, a conditioning factor was introduced into Stockwell transform (S-transform) to reduce the variation of Gaussian window with frequency, thus enhancing the temporal resolution of time-frequency spectrum. On this basis, wavelet spectrum fitting was performed on modified S-transform time-frequency spectra to achieve better focusing. Then the stratum absorption attributes profile was extracted to predict the carbonate corrosion caves. Actual data processing and analyzing results indicate that stable absorption attribute profiles can be obtained after wavelet spectrum fitting with the use of left-gradient or right-gradient method, clearly demonstrating the location of corrosion caves.

Key words: modified Stockwell transform, wavelet spectrum fitting, absorption attributes, carbonate rock, corrosion cave

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