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地震低频提取技术在含油储层检测中的应用
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  • 英文篇名:Application of seismic low frequency to detect oil-bearing reservoir
  • 作者:姜传金 ; 李晶 ; 张尔华 ; 冯德永 ; 鞠林波 ; 田仁飞 ; 薛雅娟
  • 英文作者:JIANG Chuanjin;LI Jing;ZHANG Erhua;FENG Deyong;JU Linbo;TIAN Renfei;XUE Yajuan;Exploration and Devetopnent Research Institute of Daqing Oilfjele Ltd.;Key Laboratory of Earth Exploration and Information Technology of Ministry of Education,Chengdu University of Technology;Geophysical Research Institute,SINOPEC Shengli Oilfeld Company;College of Communication Engineering,Chengdu University of Information Technology;
  • 关键词:低频信号 ; 低频能量变化率 ; 油气检测 ; 经验模态分解
  • 英文关键词:low frequency signal;;low frequency energy change rate;;oil and gas detection;;empirical mode decomposition
  • 中文刊名:WTHT
  • 英文刊名:Computing Techniques for Geophysical and Geochemical Exploration
  • 机构:大庆油田有限责任公司勘探开发研究院;成都理工大学地球探测与信息技术教育部重点实验室;胜利油田分公司物探研究院;成都信息工程大学通信工程学院;
  • 出版日期:2019-03-15
  • 出版单位:物探化探计算技术
  • 年:2019
  • 期:v.41;No.184
  • 语种:中文;
  • 页:WTHT201902007
  • 页数:7
  • CN:02
  • ISSN:51-1242/P
  • 分类号:48-54
摘要
储层含油气后会在地震资料的频谱上出现较为明显的衰减现象,利用这一特征可以进行油气检测。过去更多的计算方法是在高频段计算衰减梯度,并取得了较好的实用效果。随着高精度地震技术的进步,地震资料频带得到拓宽,低频信息也更丰富,提取地震低频信号具有重要的理论和实际意义。在地震低频信号段,研究发展了基于经验模态分解低频能量变化率的高精度的低频信号提取方法,使用该提取方法测试了正演模型,以及对研究区储层岩性油气藏进行了测试,效果与钻井吻合。研究结果表明,研究发展的低频信号提取方法进一步提高了油气检测能力。
        The theoretical research shows that the reservoir,containing oil and gas, will have obvious attenuation in the spectrum of seismic data, and the oil and gas can be detected by using this feature. In the past, more calculation methods were used to compute the attenuation gradient in the high frequency band, and good practical results were obtained. In recent years, some researchers have proposed that seismic attenuation can be well characterized by seismic low-frequency signals. In the seismic low frequency signal segment, a high-precision low frequency signal extraction method based on the low frequency energy conversion rate of empirical mode decomposition is developed in this paper. The forward model is tested by this extraction method, and the lithologic reservoir in the study area is tested, and the results are consistent with drilling. The results show that the low frequency signal extraction method developed in this paper further improves the oil and gas detection capability. An energy conversion extraction method based on seismic low-frequency signal is developed.
引文
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